Podcasts about Mochi

WE HAVE AN ANNOUNCEMENT! WE NO LONGER ARE ON A NETWORK! THIS IS OUR FIRST EPISODE AS INDEPENDENT BLACK CONTENT CREATORS! Also, Aaron finally watched The Hunting Wives and gives his thoughts on why Sophie made the show, we both chat about Sirens and coin ‘Gwyneth Paltrow Coded Shows' and also take a test to see what Twilight character they are as they prepare for them to be re-released into theaters. Take the Twilight test: https://play.howstuffworks.com/quiz/which-twilight-character-are-youWATCH THIS EPISODE FOR FREE: https://youtu.be/vgLv19QaYYk?si=-e_1112R6SYNLnvJSign up for Mochi and get 40% off GLP1s right to your door: app.joinmochi.com/eligibility?utm_source=influencers&ptcode=oe522aPLEASE RIDE WITH US WHILE WE GET THE LEARNING CURVE STRAIGHT. FOLLOW US ON INSTAGRAM HERESUBSCRIBE TO OUR PATREON HEREOH YEAH WE ON THREADS HEREWHAT? YOU WANT OUR FACEBOOK? I GOT YOU RIGHT HERE

Visit our links: https://linktr.ee/manonthemounjaro

Kaya is back solo and she is running through a vast array of topics from the SNL departures, your kids, and her GLP journey and how it ties into Serena Williams' debacle.   Serena doesn't need the money but I do and you do -- get on a glp1 and feel your best self with $40 off Mochi here: app.joinmochi.com/eligibility?utm_source=influencers&ptcode=oe522a ► Merch |   ► Instagram |   ► Follow Kaya |   ► Follow Aaron |   ► Twitter |  A Hurrdat Media Production. Hurrdat Media is a digital media and commercial video production company based in Omaha, NE. Find more podcasts on the Hurrdat Media Network and learn more about our other services today on HurrdatMedia.com. Check out other shows on the Hurrdat Media Network: https://hurrdatmedia.com/network/   Learn more about your ad choices. Visit megaphone.fm/adchoices

It's a beautiful day, what a beautiful day... HardLore is joined by SKINHEAD vocalist/songwriter known only as SKULL.After a lifetime of playing drums in bands such as Criminal Instinct, Black My Heart, On Broken Wings, Death Before Dishonor, Rude Awakening, Drug Test, etc... SKINHEAD is the raw, intimate and brutally honest vessel of artistic expression straight from Skull's personal mental archives, that results in an incomparable band and unforgettable listening experience.An incredible storyteller and songwriter, SKINHEAD is fresh off releasing one of our favorite albums of the year, we're honored to bring you his first ever long form interview about the band.__________________________________Edited by Steven Grise (@iamoneonenineseven) • Title sequence by Nicholas Marzluf (@marzluf)HardLore: A Knotfest SeriesJoin the HARDLORE PATREON to watch every single weekly episode early and ad-free, alongside exclusive monthly episodes: https://patreon.com/hardlorepodJoin the HARDLORE DISCORD: https://discord.gg/jA9rppggef__________________________________Cool links:HardLore Official Website/HardLore Records store: https://hardlorepod.comTry AG1 at DrinkAG1.com/HARDLORE to receive a free 1-year supply of vitamin D and 5 travel packs of AG1.Get 15% off MADD VINTAGE with code HARDLORE15! https://maddvintage.com/__________________________________FOLLOW HARDLORE:INSTAGRAM | https://www.instagram.com/hardlorepod/TWITTER | https://twitter.com/hardlorepodSPOTIFY | https://spoti.fi/3J1GIrpAPPLE | https://apple.co/3IKBss2FOLLOW COLIN:INSTAGRAM | https://www.instagram.com/colinyovng/TWITTER | https://www.twitter.com/ColinYovngFOLLOW BO:INSTAGRAM | https://www.instagram.com/bosxe/TWITTER | https://www.twitter.com/bosxe__________________________________00:00:00 - Start00:02:40 - Personal Training/Skinhead00:05:07 - You're not eating the Mochi...00:09:04 - New Hampshire/Boston/Youth00:14:45 - Ancient Skinhead History00:20:48 - Evolving as an Artist00:25:23 - Skinhead Demo & EP00:29:14 - Homesick00:35:17 - Everything Was Beautiful and Nothing Hurt00:37:30 - The lost Skinhead music video00:41:38 - Erik Scandalous00:49:29 - The Skinhead Live Band00:51:39 - Playing on the Mayans Series Finale00:58:20 - Pardon This Interruption...00:59:47 - Out Of The Gang01:01:32 - Back In The Gang01:05:34 - It's a Beautiful Day, What a Beautiful Day...01:13:44 - Separate Checks01:18:40 - That's A Promise01:26:23 - Future Plans For Skinhead01:30:12 - Black My Heart and On Broken Wings01:38:58 - Hammer Bros.01:47:43 - Death Before Dishonor01:52:12 - Rude Awakening01:55:07 - Criminal Instinct02:02:15 - What Skull misses about touring02:05:37 - Eatin' Good02:07:32 - Who Do You Do?02:08:20 - Top 4 HC Records02:14:58 - Ghosts02:18:10 - Patreon Q&A #HARDLORE #HARDCORE

Links referenced in podcast: https://linktr.ee/manonthemounjaro

The title of this podcast is exactly what happened as Raven is back and we Blacker than ever! We finally talkin Joseline's Cabaret on the main podcast. We also talk about Kaya's new and exciting journey and Wendy Williams conservatorship!  Join Kaya on her journey and get some money off or at least just check Mochi out:app.joinmochi.com/eligibility?utm_source=influencers&ptcode=oe522a Listen to Bitch is Better:https://podcasts.apple.com/us/podcast/bitch-is-better/id1496516498?i=1000722167638 ► Merch |   ► Instagram |   ► Follow Kaya |   ► Follow Aaron |   ► Twitter |  A Hurrdat Media Production. Hurrdat Media is a digital media and commercial video production company based in Omaha, NE. Find more podcasts on the Hurrdat Media Network and learn more about our other services today on HurrdatMedia.com. Check out other shows on the Hurrdat Media Network: https://hurrdatmedia.com/network/ Learn more about your ad choices. Visit megaphone.fm/adchoices

A Friend for Mochi, and the Putty Queen needs more Putty!

Dorothée Perkins est photographe et réalisatrice. Elle a publié tout récemment un livre appelé "Paris-Tokyo mon amour" aux éditions La Martinière dont elle a écrit les textes et réalisé les photos. Dans ce livre, elle va à la rencontre de Japonais vivant en France et d'amoureux du Japon exerçant en France une activité liée à leur pays de cœur. C'est dans ce cadre que notre fondatrice Mathilda Motte a rencontré Dorothée, car elle a eu l'honneur de passer derrière son objectif. Lors de leur rencontre, Dorothée confiait que, comme pour Mathilda avec la Maison du Mochi, ce livre était une manière de maintenir le lien avec le Japon après y avoir vécu. Mathilda eut donc très envie à son tour de lui poser des questions !Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

◆ In this episode, I am talking about a sandae with Japanese sweets I had in Kyoto, using vocabulary and grammar from GENKI 1. (GENKI 1 is a Japanese textbook meant for beginners at JLPT N5 / CEFR A1 level.)   ◆ This story was originally released as Ep.19 on May the 17th, 2024. I just re-recorded it and created a listening comprehension exercise, answer key, vocabulary list and transcript for it for Patreon members, which was not available when it was first released.   ◆ You will need to be a subscriber to my Patreon monthly membership to listen to it. The sample audio file is available on my Patreon site.   ◆ Patreon Here are the benefits for my Patreon members : (Note : The benefits you get vary based on the tier you select.) - Podcast episodes  - Vocabulary lists with English translation - Transcripts - Listening comprehension exercises (These are all in Kanji with Furigana.) - Answer keys for the exercises - Photos related to the episodes with captions  - Extra information & fun facts related to the episodes Check out  my Patreon page for more information : patreon.com/JapanesewithMeg   ◆ You are cordially invited to... - leave me a review on Apple Podcast - rate my podcast on Spotify

Nell'intervista all'Ambasciatore Giusandrea Mochi Onory viene ripercorsa una carriera diplomatica di grande ricchezza: dagli inizi al Ministero agli incarichi a Vienna, Tunisi, Monaco di Baviera, Oslo e Copenaghen. Centrale il lungo servizio al Quirinale accanto al Presidente Pertini. Tra sfide umane e professionali, l'ambasciatore riflette sul rapporto tra diplomazia e potere politico, sulla formazione dei giovani diplomatici e sul valore dell'esperienza internazionale. Un racconto lucido e appassionato che illustra alcuni dei cambiamenti della diplomazia italiana dal dopoguerra a oggi.

Keep Your Voice Down hosts Alek Haak-Frost and Doug Sears Jr. reveal the lineup for the fifth annual Watershed Voice Artist Showcase, which will take place later this month at The Huss Project in Three Rivers. The duo also explores the role of AI in content creation and journalism, what is lost in the over reliance of such technology, and what society stands to gain by re-embracing human creativity and connection.The Artist Showcase will start at 6 p.m. on Saturday, July 26 at The Huss Project (1008 8th Ave.) and will feature live music, poetry, and spoken word performances. Admission is just $5 per person and while limited seating will be provided, attendees are encouraged to bring lawn chairs or other outdoor seating just in case. The event will also include a 50/50 raffle, free food courtesy of Corey Lake Orchards, and the last chance to enter Watershed Voice's new monthly donation giveaway, the winners of which will be announced toward the end of the show.The show's theme is “Howling at the Moon” by D Fine Us, and this week's outro music is “Mochi” by Just for Kicks. You can support Keep Your Voice Down and Watershed Voice with a donation here.

Au Moyen-Orient, les frappes se poursuivent entre Israël et l'Iran, au huitième jour du conflit. Cette guerre sanglante se joue sur le terrain, mais aussi en ligne, sur les réseaux sociaux. D'un côté comme de l'autre, des comptes de propagande diffusent massivement des fausses informations. Tous les moyens sont bons pour gagner cette bataille numérique. Depuis le début du conflit qui oppose Tel Aviv et Téhéran, les contenus générés par intelligence artificielle se multiplient sur les réseaux sociaux, à tel point que certaines images synthétiques cumulent plus de vues que des photos authentiques, prises sur le terrain. L'un des exemples marquants est une vidéo aérienne censée montrer une ville israélienne endommagée suite aux frappes iraniennes. Durant 16 secondes, on y voit un quartier résidentiel totalement détruit. « Cette vue n'est pas à Gaza, mais dans le sud de Tel Aviv », commentent, à tort, les internautes qui la partagent en ligne. Vérification faite, ces images ne proviennent ni d'Israël, ni de Gaza ou même d'Iran puisqu'elles ont été entièrement générées par intelligence artificielle. Le détecteur d'IA que nous avons utilisé indique que c'est le générateur Mochi 1 qui serait à l'origine de ces images. Cet outil à la côte, car il est bon marché, entre 0 et 50 centimes seulement par vidéo, et parce que les résultats sont relativement bluffants. Une recherche par mots-clés nous a, de plus, permis de retrouver le compte à l'origine de ce clip vu plusieurs millions de fois. La date de publication indique le 28 mai 2025, soit avant les affrontements entre Israël et l'Iran. Flot d'images détournées À cela s'ajoutent aussi d'innombrables contenus sortis de leur contexte. Des images prises en Ukraine, au Liban ou même en Géorgie sont recyclées pour désinformer sur la situation au Moyen-Orient. Le dernier exemple en date est une vidéo impressionnante, censée montrer une pluie de missiles iraniens tombant en Israël. On y voit une dizaine de boules incandescentes tomber du ciel en pleine nuit. Grâce à une recherche par image inversée, on sait qu'il s'agit dans les faits de débris d'une fusée Space X, détruite lors de son ascension en janvier 2025, bien loin du Moyen-Orient. L'infox cumule plus de 3 millions de vues, rien que sur X. Jeu vidéo vs réalité L'autre mode opératoire, visible lors de chaque conflit, consiste à détourner des images issues de jeux vidéo. Ces clips spectaculaires issus de plateforme de simulation militaire ultra-réaliste pullulent sur les réseaux sociaux ces derniers jours. On retrouve notamment une vidéo censée montrer un avion de chasse israélien abattu par un missile anti-aérien iranien. Problème, cet enregistrement, vu plus de 15 millions de fois, provient en réalité du jeu War Thunder. On retrouve le clip en question sur une chaîne YouTube avec la mention « contenu de jeu vidéo diffusé à des fins de divertissement ». Pour s'en rendre compte, les experts conseillent d'observer avec attention les flammes, la dissipation des fumées ainsi que les explosions qui ne collent pas avec la réalité. Il faut également écouter attentivement le son, trop propre, trop parfait. Ces clips ne sont d'ailleurs jamais partagés par des sources de confiance. Ces éléments, cumulés à une recherche par image inversée (voir ici comment faire), permettent de ne pas tomber dans le panneau face à ces vidéos inauthentiques, souvent plus virales que les vraies images de cette guerre.

In which your wait is finally over. Amy Lockhart and Bea Alighieri arrive at the House. But what awaits them inside? Content Warnings: Strong language, alcohol drinking, grief, ghosts.You can find the text of the transcript for this episode below, and a written form of the chapter, along with the poll, for free on our Patreon. https://docs.google.com/document/d/1ysbQgHneV08a9QKTVYTU0Ya-03ajPNzVTfTbXz8RfQo/edit?tab=t.0This audio can be found on Patreon, Spotify, and Apple Podcasts. https://www.threefatescollective.org/ghostYou are the Ghost in This House is an audience-directed horror podcast and audio drama. It will feature both written and audio chapters. Each chapter will be followed by a poll: What will the Ghost do next? And will the House ever let you go? To vote, join our Patreon (for free; no payment information required, only your email). https://www.patreon.com/3fatesThe poll for this episode closes Friday at 5 PM Eastern. You are the Ghost in This House is... Written & Created by Hannah Semmelhack and Paige Elizabeth Allen Produced by Hannah Semmelhack, Fiona Clare, and Paige Allen as part of the Three Fates Collective. With recording, mixing, and sound design by Rhea Patil And with original cover art by Aryn Myatt The theme song is ‘haunted house' by Hibah Hassan. This Episode Featured: C. Luke Soucy as The Voice You Hear Fiona Clare as the Announcer Paige Allen as Amy Lockhart Nora Aguiar as Bea Alighieri Hannah Semmelhack as Z Lockhart Alice Eve Cohen as Annette Lockhart Christopher Lau as Addison Lockhart Shadow, Loki, and Mochi as Crumble Thank you for listening.Join Three Fates on Discord or on social media. Hosted on Acast. See acast.com/privacy for more information.

We've got mail! Jonathan and Honey answer your questions about cinema, films, family and everything in between. This week, the pair discuss stand-out years for cinema, they receive a DM from a gorrrrrgeous listener, Jonathan has some very very VERY exciting news (or, at least he thinks it's exciting) and Mochi the French Bulldog gets the Ross seal of approval.Let us know what you think! You can get involved by emailing us at reeltalk@global.com and follow us on Instagram on @reeltalkrossThanks for listening. Listen and subscribe to Reel Talk on Global Player or wherever you get your podcasts.

Episode 168 - all notes from the show can be found at www.zippingaroundtheworld.com on the home page.  Scroll to find Episode 168.   Don't forget to subscribe to the show!  Tell your friends and social media. Help the show, at no cost to you! Use my JR Pass and travel credit card links, which are always found on my website show notes. Leave me a comment on my website under the comments tab if you have ever used any of my travel tips or locations.  Also, leave me a rating and kind comment in Itunes or where ever you download this podcast.

Emmanuel Amiesen is lead author of “Circuit Tracing: Revealing Computational Graphs in Language Models” (https://transformer-circuits.pub/2025/attribution-graphs/methods.html ), which is part of a duo of MechInterp papers that Anthropic published in March (alongside https://transformer-circuits.pub/2025/attribution-graphs/biology.html ). We recorded the initial conversation a month ago, but then held off publishing until the open source tooling for the graph generation discussed in this work was released last week: https://www.anthropic.com/research/open-source-circuit-tracing This is a 2 part episode - an intro covering the open source release, then a deeper dive into the paper — with guest host Vibhu Sapra (https://x.com/vibhuuuus ) and Mochi the MechInterp Pomsky (https://x.com/mochipomsky ). Thanks to Vibhu for making this episode happen! While the original blogpost contained some fantastic guided visualizations (which we discuss at the end of this pod!), with the notebook and Neuronpedia visualization (https://www.neuronpedia.org/gemma-2-2b/graph ) released this week, you can now explore on your own with Neuronpedia, as we show you in the video version of this pod. Chapters 00:00 Intro & Guest Introductions 01:00 Anthropic's Circuit Tracing Release 06:11 Exploring Circuit Tracing Tools & Demos 13:01 Model Behaviors and User Experiments 17:02 Behind the Research: Team and Community 24:19 Main Episode Start: Mech Interp Backgrounds 25:56 Getting Into Mech Interp Research 31:52 History and Foundations of Mech Interp 37:05 Core Concepts: Superposition & Features 39:54 Applications & Interventions in Models 45:59 Challenges & Open Questions in Interpretability 57:15 Understanding Model Mechanisms: Circuits & Reasoning 01:04:24 Model Planning, Reasoning, and Attribution Graphs 01:30:52 Faithfulness, Deception, and Parallel Circuits 01:40:16 Publishing Risks, Open Research, and Visualization 01:49:33 Barriers, Vision, and Call to Action

Mochi's Last Minutes by Jan by 826 Valencia

Guaya Melgar is Co-Founder and CEO at Mochi Solutions. Mochi Solutions is providing automated billing solutions for Filipinos. Designed by Filipinos, for Filipino businesses. Get access to reliable automated invoicing, simplified order management, effortless installment and recurring billing, with various options for digital payments by subscribing to the Mochi Solutions plans. Mochi Solutions streamlines your workflow so you can reclaim your time! This episode is recorded live at the Mochi Solutions office in Makati City.In this episode | 00:57 Ano ang Mochi Solutions? | 01:52 What problem is being solved? | 04:38 What solution is being provided? | 15:45 What are stories behind the startup? | 39:18 What is the vision? | 49:25 How can listeners find more information?MOCHI SOLUTIONS | Website: https://mochi.ph | Facebook: https://facebook.com/mochisolutionsTHIS EPISODE IS CO-PRODUCED BY:SPROUT SOLUTIONS | Website: ⁠⁠⁠⁠⁠https://sprout.ph⁠⁠⁠⁠⁠ | Sprout Payroll Starter: ⁠⁠⁠⁠⁠https://bit.ly/SproutPayrollStarter⁠⁠⁠⁠⁠ | APEIRON | Website: ⁠⁠⁠⁠⁠https://apeirongrp.com |⁠⁠⁠⁠⁠ TWALA |Website: ⁠⁠⁠⁠⁠https://twala.io⁠⁠⁠⁠⁠ | SYMPH Website: ⁠⁠⁠⁠⁠https://symph.co⁠⁠⁠⁠⁠ | SECUNA Website: ⁠⁠⁠⁠⁠https://secuna.io⁠⁠⁠⁠⁠ | MAROON STUDIOS Website: ⁠⁠⁠⁠⁠https://maroonstudios.com⁠⁠⁠⁠⁠ | AIMHI Website: ⁠⁠⁠⁠⁠https://aimhi.ai⁠⁠⁠⁠⁠CHECK OUT OUR PARTNERS | Ask Lex PH Academy: ⁠⁠⁠⁠⁠https://asklexph.com⁠⁠⁠⁠⁠ (5% discount on e-learning courses! Code: ALPHAXSUP) | Founders Launchpad: ⁠⁠⁠⁠⁠https://founderslaunchpad.vc⁠⁠⁠⁠⁠ | GumdropLab: ⁠⁠⁠⁠⁠https://gumdroplab.com⁠⁠⁠⁠⁠ | CloudCFO: ⁠⁠⁠⁠⁠https://cloudcfo.ph⁠⁠⁠⁠⁠ (Free financial assessment, process onboarding, and 6-month QuickBooks subscription! Mention: Start Up Podcast PH) | Cloverly.tech: ⁠⁠⁠⁠⁠https://cloverly.tech |⁠⁠⁠⁠⁠ BuddyBetes: ⁠⁠⁠⁠⁠https://buddybetes.com⁠⁠⁠⁠⁠ | HKB Digital Services: ⁠⁠⁠⁠⁠https://contakt-ph.com⁠⁠⁠⁠⁠ (10% discount on RFID Business Cards! Code: CONTAKTXSUP) | Hyperstacks: ⁠⁠⁠⁠⁠https://hyperstacksinc.com⁠⁠⁠⁠⁠ | OneCFO: ⁠⁠⁠⁠⁠https://onecfoph.co⁠⁠⁠⁠⁠ (10% discount on CFO services! Code: ONECFOXSUP) | UNAWA: ⁠⁠⁠⁠⁠https://unawa.asia⁠⁠⁠⁠⁠ | SkoolTek: ⁠⁠⁠⁠⁠https://skooltek.co⁠⁠⁠⁠⁠ | Better Support: ⁠⁠⁠⁠⁠https://bettersupport.io⁠⁠⁠⁠⁠ (Referral fee for anyone who can bring in new BPO clients!) | Britana: ⁠⁠⁠⁠⁠https://britanaerp.com⁠⁠⁠⁠⁠ | Wunderbrand: ⁠⁠⁠⁠⁠https://wunderbrand.com⁠⁠⁠⁠⁠ | Fail Coach: ⁠⁠⁠⁠⁠https://fail.coach⁠⁠⁠⁠⁠ | Drive Manila: ⁠⁠⁠⁠⁠https://facebook.com/drivemanilaph⁠⁠⁠⁠⁠ | EastPoint Business Outsourcing Services: ⁠⁠⁠⁠⁠https://facebook.com/eastpointoutsourcing⁠⁠⁠⁠⁠ | Doon: ⁠⁠⁠⁠⁠https://doon.ph⁠⁠⁠⁠⁠ | Hier Business Solutions: ⁠⁠⁠⁠⁠https://hierpayroll.com⁠⁠⁠⁠⁠ | DVCode Technologies: ⁠⁠⁠⁠⁠https://dvcode.tech |⁠⁠⁠⁠⁠ Mata Technologies: ⁠⁠⁠⁠⁠https://mata.ph⁠⁠⁠⁠⁠ | LookingFour Buy & Sell Online: ⁠⁠⁠⁠⁠https://lookingfour.com⁠⁠⁠⁠⁠ | NutriCoach: ⁠⁠⁠⁠⁠https://nutricoach.com⁠⁠⁠⁠⁠ | Uplift Code Camp: ⁠⁠⁠⁠⁠https://upliftcodecamp.com⁠⁠⁠⁠⁠ (5% discount on bootcamps and courses! Code: UPLIFTSTARTUPPH) | Digest PH: ⁠⁠⁠⁠⁠https://digest.ph⁠⁠⁠⁠⁠ (10% discount on legal services! Code: DIGESTXSUP)START UP PODCAST PH | YouTube: ⁠⁠⁠⁠⁠https://youtube.com/startuppodcastph⁠⁠⁠⁠⁠ | Spotify: ⁠⁠⁠⁠⁠https://open.spotify.com/show/6BObuPvMfoZzdlJeb1XXVa⁠⁠⁠⁠⁠ | Apple Podcasts: ⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/start-up-podcast/id1576462394⁠⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠⁠https://facebook.com/startuppodcastph⁠⁠⁠⁠⁠ | Patreon: ⁠⁠⁠⁠⁠https://patreon.com/StartUpPodcastPH⁠⁠⁠⁠⁠ | Website: ⁠⁠⁠⁠⁠https://phstartup.online⁠⁠⁠⁠⁠Edited by the team at: ⁠⁠⁠⁠⁠https://tasharivera.com

On this episode, Ted and Patrick take a look at how to rebuild Tottenham. Should Ange Postecoglu remain, who should replace him, and what positions do they need to improve? The guys look at what their rebuilding strategy should be, which players they should target, and how Tottenham can increase their skill floor. Enjoy! Tottenham Rebuild Part 1: https://www.thetransferflow.com/p/the-tottenham-hotspur-rebuild-part-1 Tottenham Rebuild Part 2: https://www.thetransferflow.com/p/the-tottenham-hotspur-rebuild-part-2-9652 Subscribe to our FREE newsletter: https://www.thetransferflow.com/subscribe Join Variance Betting: https://www.thetransferflow.com/upgrade Follow us on our Socials: YouTube: https://www.youtube.com/channel/UCe1WTKOt7byrELQcGRSzu1Q X: https://x.com/TheTransferFlow Bluesky: https://bsky.app/profile/thetransferflow.bsky.social Instagram: https://www.instagram.com/thetransferflow/ TikTok: https://www.tiktok.com/@transferflowpodcast Timestamps: 00:00 - Intro 00:35 - Getting in trouble early 02:00 - Mochi and Paratici 03:45 - Where Spurs are in the table 04:34 - Finishing below Everton and Wolves 05:11 - Ange Postecoglu this season 06:06 - Champions League still a possibility 07:21 - Tottenham's style and comparison to Arsenal 09:12 - Would you want to sit in the press room like Ange this season? 10:45 - Would you fire Ange regardless of the Europa result? 12:00 - How the rebuild looks with Ange gone 12:55 - Obvious profiles missing from the squad 13:51 - The team should be better regardless of who's in charge 14:19 - Names for the coaching job 15:19 - The timeline for this rebuild 16:06 - Archie Grey and Lucas Bergvall 17:13 - They need to raise the squad floor 18:09 - Being open to selling anyone 19:38 - Brennan Johnson is singularly focused 20:51 - Pep at Bayern + player education levels 21:44 - Midfield = Spurs biggest area of need? 22:40 - Signing Mathys Tel? 23:36 - Soungoutou Magassa and Lamine Camara 25:37 - Taking guys from the Dutch or Portuguese league? 26:40 - Pepelu? 27:39 - Don't overpay + Looking at France? 28:11 - Will Still a good option? 29:15 - Hugo Sotelo an underrated option? 29:46 - The BEST 3 leagues for Tottenham to buy from? 31:11 - Lucien Agoumé from Sevilla? 32:40 - Spurs don't have the ability to pay the top prices - so diversify risk 33:45 - Make Tel permanent.. But for a lower price? 35:13 - Nico Paz from Como/Real Madrid? 36:02 - Madrid may not have room for him currently 37:07 - Paz' skillset 37:32 - Son Heung-min is aging out 38:59 - Spurs should go for Rayan Cherki 41:31 - For ~30M he's worth the risk 42:00 - A frontline with too little pace? + Ted's storytime from Brentford 43:36 - Ted's favourite player for them that isn't actually possible: Ansgar Knauff 44:30 - Romano Schmid? 45:19 - Tottenham don't need home runs, they need doubles and to keep costs low 45:48 - They spent WAY too much last summer 46:54 - Trevor Chaloba as a CB option? 48:22 - Hunt for the best players on relegated teams 49:38 - Would should Spurs choose as manager? 49:56 - Pat thinks Thomas Frank 50:37 - Will Palace let Oliver Glasner go? 51:06 - Would Francesco Farioli fit in? Or Will Still? 53:01 - We want to hear from YOU 43:34 - Check out our track record 54:00 - B-Roll (Meeting Celebrities, Benedict Cumberbatch, and Patrick's love for Tilda Swinton) 55:42 - C-roll (Tottenham talk, teams Americans are fans of, and Jozy Altidore (Albacore)) #tottenham #thfc #premierleague #coys #epl #heungminson #sonheungmin #solanke #angepostecoglou #postecoglou #soccer #football #europaleague #championsleague #ucl #fyp #foryou

Come sono andate le serie del secondo turno e perché, l'esito della Lottery, la preview delle Finali di Conference

http://www.UnderThePuppet.com -  Adrian Rose Leonard is a puppeteer, builder and director who has worked in many forms of puppetry.  She's puppeteered on TV shows like Waffles & Mochi's Restaurant, Crank Yankers and Mr. Neighbor's House as well as movies such as If It Bleeds and The Butthole Surfers Movie.  She's also directed several projects including short films and music videos.  I talk to Adrian Rose Leonard about all this and more on this episode of Under The Puppet. Plus, hear more of my conversation with Adrian Rose Leonard by becoming a Saturday Morning Media Patreon Patron.  Visit www.patreon.com/saturdaymorningmedia for info and to help create more episodes like this. Connect with Adrian Rose Leonard: Website - https://www.yoadrianrose.com Instagram - https://www.instagram.com/adrianroseleonard IMDB - https://www.imdb.com/name/nm6452467/ Discussed on the show: Crank Yankers - https://www.imdb.com/name/nm6452467/ Mr. Neighbor's House - https://www.imdb.com/name/nm6452467/ Waffles & Mochi's Restaurant - https://www.netflix.com/title/81609457 The Butthole Surfers Movie - https://www.imdb.com/title/tt16304140/ Yamasong: March of the Hollows - https://www.imdb.com/title/tt4191486/ Crank Yankers - https://www.imdb.com/title/tt0318959/ LA Guild of Puppetry - https://www.laguildofpuppetry.org Connect with the Show: http://www.instagram.com/underthepuppet https://www.facebook.com/underthepuppet http://www.twitter.com/underthepuppet Connect with Grant: http://www.MrGrant.comhttp://www.twitter.com/toasterboy https://instagram.com/throwingtoasters/ Art by Parker Jacobs Music by Dan Ring Edited by Stephen Staver ©2025 Saturday Morning Media - http://www.saturdaymorningmedia.com  

On this episode of Japan Station, we're talking about one of Japan's most iconic foods: mochi. Learn all about the history, lore and consumption practices of this important Japanese food!

Derek Rux is the founder of Herb Garden Co., a CBD brand dedicated to natural wellness. Derek's main role in life is being a dedicated dad to his two young daughters and their dog, Mochi, and he created Herb Garden Co. to spend more time with them. As a longtime hemp enthusiast, he was inspired to start the company when he couldn't find edibles that were clean, free from artificial ingredients, and truly effective. Today, we'll dive into his journey, his mission for natural wellness, and the passion behind his products. In this podcast you will learn: - How CBD helped a former alcohol user recover and discover a healthier, plant-based lifestyle. - The personal story behind Herb Garden Co., a CBD brand built around natural wellness and fatherhood. - What the 2018 Farm Bill really changed for the cannabis and CBD industry — and why it matters. - The science-backed ingredients used in sleep and energy gummies, including THC, CBN, CBG, terpenes, and medicinal mushrooms. - Why most consumers care more about transformation than ingredients — and how that impacts product marketing. - Real-life success stories from people using Derek's products, including a college student and a cancer survivor. - What makes CBD products truly child-safe and eco-friendly, from packaging to responsible sourcing. Connect with Derek here: https://herbgardenco.com/ https://www.facebook.com/profile.php?id=100066752701076 https://www.instagram.com/herbgarden_co/

Mochi: glutinous rice gently transformed into a sticky, chewy tradition that's lasted over a thousand years—perfect for bedtime stories, sleepy facts, and those who enjoy their history slow and mildly sweet. Want More? Request a topic: https://www.icantsleeppodcast.com/request-a-topic Listen ad-free & support: https://icantsleep.supportingcast.fm/ Shop sleep-friendly products: https://www.icantsleeppodcast.com/sponsors This content is derived from the Wikipedia article on Mochi, available under the Creative Commons Attribution-ShareAlike (CC BY-SA) license. Read the full article: Wikipedia – Mochi. Learn more about your ad choices. Visit megaphone.fm/adchoices

We asked listeners to tell us about the one song they couldn't stop listening to because of how it made them feel. On this episode we share some of their picks and the stories behind them.Note: This episode originally aired in Dec. 2024Weekly reset: Mochi street vendor, JapanEnjoy the show? Share it with a friend and leave us a review on Apple or wherever you listen to podcasts. Questions, comments, suggestions or feedback of any kind always welcome: allsongs@npr.org Hear new songs from past episodes in the All Songs Considered playlists in Apple Music and Spotify.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

There are a lot of data sensitivities when it comes to marketing in the healthcare and wellness space. This week on Apptivate, we speak with Kevin Bell, the Performance Marketing Lead at Mochi Health, about navigating Facebook's recent changes to events for advertisers in these industries. Kevin gives you the background on the platform's changes, and how his team adapted their marketing strategy to meet Facebook's new criteria under HIPAA compliance. You'll also learn about the limitations of marketing creatives and how they're leveraging AI to optimize their campaign performance and grow.Questions Kevin answered in this episode:Can you share what Mochi Health does and the value it provides to its consumers?What are some of the challenges you face in your role as Director of Performance Marketing for a platform in the healthcare space?Can you give us a sense of your media mix?What's happening with the change of Facebook events for health and wellness businesses?How much of a heads-up did Facebook give you?How did you adapt your marketing strategy?What's the impact of this change on the performance of your campaigns?Can you tell us a little about the limitations of creatives for your platform and how you optimize them for a platform like Facebook?What predictions do you have for this upcoming year at Mochi Health?Timestamp:0:56 What does Mochi Health do?2:19 Challenges in healthcare marketing4:08 Facebook's event changes for health and wellness industry advertisers6:19 How to adapt your marketing strategy for Facebook events7:57 How has this impacted campaign performance?8:43 Constraints on creatives in the healthcare space9:55 Optimizing creatives with an internal AI tool13:08 What's coming up for Mochi HealthQuotes:(4:34-4:58) “Facebook reached out to a number of companies that were in the health and wellness space and basically told them that we were no longer able to optimize our campaigns off of any type of purchase event, add-to-cart event, customer registration – basically any event that wasn't a ‘page view'. And obviously, that's quite concerning because for all advertisers, if you ever run money on Facebook, you know that optimizing for anything that's not your goal is not going to get you anywhere.”(6:49-6:58) “The idea is you want to make sure that you're not sending Facebook any details towards who is a person that has actually made a purchase because by doing so, you're walking into potential HIPAA compliance issues.”Mentioned in this episode:Kevin Bell's LinkedInMochi Health

Brandie Miller brings a wealth of food industry experience, blending expertise in startups, retail buying, and e-commerce with a passion for food accessibility. She began her career launching a small ice cream brand, driving it from food service into retail through strategic sales and marketing. She then transitioned to the buying side as a category manager for Grocery Outlet, a 400-store chain, where she championed Natural & Organic (NOSH) products, growing it into the company's largest category. Her efforts contributed to Grocery Outlet's 2019 IPO.Her dedication to making healthy, high-quality food more accessible deepened at Misfits Market, where she served as Senior Director of Grocery. There, she and her team expanded affordable grocery options nationwide, launched an upcycled food initiative, and introduced thousands of new SKUs in just three years—all while scaling operations across four warehouses.Brandie's impact has been widely recognized, earning her industry accolades such as:• Supermarket News' 2016 Disruptor• Progressive Grocer's 2019 Top Women in Grocery – Rising Star• Natural Foods Merchandiser's May/June 2019 Cover Feature• NEXTY Judge at Expo East 2022In 2024, Brandie and Will Miller combined their vastly different experiences to create something completely new—Mochi Love. Driven by a shared passion for innovation, delicious food, and bringing joy to everyday moments, they set out to expand mochi beyond the freezer aisle and introduce it to more categories across grocery stores.Mochi Love is upbeat, delicious, and simply irresistible—a modern take on a time-honored ingredient. Elevate Your Brand is the #1 marketing podcast for entrepreneurs and “wantrepreneurs” looking for insider tips and secrets from the most exciting new and growing brands in Los Angeles and the US at large. Each week, entrepreneurial special guests join Laurel Mintz, founder and CEO of award-winning marketing agency Elevate My Brand, to discuss the marketing failures and successes that have brought their brands to the next level. Learn from real-life experiences and be inspired by leaders in your industry about how smart digital and experiential marketing can elevate your brand.Contact us: https://www.elevatemybrand.com/contact Stay connected & DM us feedback on the podcast:Instagram: https://www.instagram.com/elevatemybrandla/ LinkedIn: https://www.linkedin.com/company/elevatemybrandla/ TikTok: https://www.tiktok.com/@elevatemybrand

Our special guests on ep. 290, are the powerhouse filmmaking duo of Ally Musmeci & Ginnie House, who are on a mission to shake up the industry with fresh, dynamic storytelling that fills the creative void audiences have been craving. Ally and Ginnie dive into how their collaborative journey began, the moment they knew they wanted to tell stories together, and how their passion for bold narratives led to the creation of their short film trilogy — Lottie, Tsundoku, and Mochi.They open up about the creative process behind the trilogy, the unique themes each film explores, and what drives their work as artists and storytellers. Plus, they share exciting insight into the future of their company, Be Fucking Nice Productions — including their ambition to expand beyond producing their own work and to become a launchpad for emerging artists who are redefining how stories are told.If you're a fan of indie film, original voices, and the next wave of storytelling talent, you won't want to miss this inspiring conversation.Listen now on all major podcast platforms and join the movement to bring bold storytelling back to the screen!Follow Ginnie and Ally Here:Ginnie:Instagram: https://www.instagram.com/ginonthehouse?igsh=MWNvYnV4MGlkNTRhNw==Ally:Instagram: https://www.instagram.com/allysonsthebomb?igsh=ZnNhNWR6bmR4amRoBe Fucking Nice Productions:Instagram: https://www.instagram.com/beeniceproductions?igsh=ajltOXZmOG5ranYzFollow Us Here:Website: https://crazyantmedia.comMerchandise: https://crazyantmedia.com/crazy-ant-merchandiseOur first film, Deadlines: https://crazyantmedia.com/deadlinesPodcasts:ITCAFpodcast:Apple Podcast: https://podcasts.apple.com/us/podcast/itcafpodcast/id1644145531Spotify: https://open.spotify.com/show/1tf6L0e7vO9xnVtWaip67s?si=tYPrIVr_R36qpYns4qeZ8gEverything's Okay Podcast:Apple Podcast: https://podcasts.apple.com/us/podcast/everythings-okay/id1664547993Spotify: https://open.spotify.com/show/0uMm80MW4K50f8uURgVUYp?si=9mF7mwf_Qe-ZDqKBhEovMgSocial Media:ITCAFpodcastTwitter: https://twitter.com/itcafpodcast?s=21&t=q0HdFq3CPkXBzVYHYdJW6wInstagram: https://instagram.com/itcafpodcast?igshid=YmMyMTA2M2Y=Tiktok: https://www.tiktok.com/t/ZTRLQ7hHn/Everything's OkayTwitter: https://twitter.com/everythingsokp?s=21&t=ckQqBvyxz3lYqKHLrI6peAInstagram: https://instagram.com/everythingsokp?igshid=YmMyMTA2M2Y=Crazy Ant MediaTwitter: https://twitter.com/crazyantmedia?s=21&t=q0HdFq3CPkXBzVYHYdJW6wInstagram: https://instagram.com/crazyantmedia?igshid=YmMyMTA2M2Y=Tiktok: https://www.tiktok.com/t/ZTRLQP1c1/Logan (Left)Twitter: https://twitter.com/jloganaustin?s=21&t=ckQqBvyxz3lYqKHLrI6peAInstagram: https://instagram.com/jloganaustin?igshid=YmMyMTA2M2Y=Tiktok: https://www.tiktok.com/@j.loganaustin?_t=8ZMB9Hp1yxf&_r=1Dustin (Right)Twitter: https://twitter.com/crazyantceo?s=21&t=ckQqBvyxz3lYqKHLrI6peAInstagram: https://instagram.com/crazyantceo?igshid=YmMyMTA2M2Y=Tiktok: https://www.tiktok.com/@crazyantceo?_t=8ZMB84k7BUM&_r=1

Mochi Ice Cream & Macarons ASMR Chat & EatingAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Welcome to The Amazing Watch Podcast! 6% of people think they could take a bear in a fight. Those people Watch along with Season 37 of The Amazing Race on Amazon Prime Video, CBS. fuboTV, Spectrum On Demand, Paramount Plus, DIRECTV, or buy it as download on Google Play Movies, Vudu, Amazon Video, FandangoNOW, or Microsoft Store. Follow us on social media! Email: amazingwatchpod@gmail.com Facebook: The Amazing Watch Podcast Twitter: @amazingwatchpod Instagram @amazingwatchpod Don't forget to tag #AmazingWatchPod This podcast is hosted by ZenCast.fm

In this episode of The Business of Wellness, Jaclyn London, RD breaks down everything from Expo West 2025—the biggest trade show in natural and functional foods. From the latest wellness trends (dragon fruit, GLP-1 marketing, and caffeine + protein combos) to behind-the-scenes industry buzz (the influence of MAHA, the show's winners and losers) and updates to the FDA's proposed Front-of-Pack Nutrition Label (FOPNL), I'm giving you behind-the-scenes intel on the nutrition news you need to know about, the brands to keep an eye on, and the influencers and policy changes that are shaping the food industry today.What You'll Learn in This Episode:The top 13 trends shaping food and beverage in 2025The truth about front-of-pack nutrition labeling and why it's (likely to be) a waste of time & resources Regenerative Agriculture Certified and the status of sustainability claimsHow brands are marketing to GLP-1 users—and why some of it is just hypeThe rise of dates, pulses, electrolytes, tropical fruit, protein everything, and more prebiotic sparkling watersWhy single-serve snacks and aluminum cans are taking over grocery aislesThe wildest moments from the Make America Healthy Again (MAHA) panel and what it means for the future of food policyTimestamps00:00 Introduction to the Business of Wellness01:48 Expo West 2025 overview03:00 Front-of-Pack Nutrition Labeling panel & proposed policy12:51 Trends from Expo West 2025 - 13 trends to watch in wellness, CPG food & beverage; dietary supplements & personal care.21:52 Emerging ingredients and innovations29:43 The future of food marketing30:13 The nutritional value of dates33:03 Mochi mania: The new snack trend36:07 Mood and morality themes in food & beverage branding39:40 The rise of pulses and legumes42:46 Raw honey: A functional food rebrand44:30 Plant-based vs. animal-based products47:28 The Gell-Mann Amnesia Effect in nutrition media49:00 MAHA Updates: The MAHA panel, behind-the-scenes insights, updates in the RFK Jr. Agenda & the food industry's response thus far59:26 Expo West recap and closing thoughtsConnect with Jaclyn London, RDSubscribe to The Business of Wellness with Jaclyn London, RD on Apple Podcasts, Spotify, and YouTubeFollow @jaclynlondonrd on

This week, some great news about the Disneyland Railroad and a returning tour, Sip & Savor pass tips, perks, and more, Food and Wine merchandise, D23 Gold member monthly streams, we talk to Alex about his first experience at Disneyland, and more! Please support the show if you can by going to https://www.dlweekly.net/support/. Check out all of our current partners and exclusive discounts at https://www.dlweekly.net/promos. News: The Sip & Savor pass is back this year for the Food & Wine Festival, so how can you get the best value? This year, you can't lose! To get the most out of the pass, which is $63, or $58 for Key Holders, you need each item to be over $7.75 (or $7.25 for Key Holders). Most of the items are above this threshold. Some of the non-alcoholic drinks and desserts are closer to the break even point, so look out for those. Another tip – order at one booth and take the receipt to the other booths for redemption. – https://www.micechat.com/381303-make-the-most-of-your-sip-savor-pass-at-california-adventure-food-wine-festival/ Sip & Savor pass purchasers should be sure to get the free picnic plate that comes with the pass. The plate is blue, and shaped like Mickey, with park icons printed on it. When we got our pass, this was not available, but it was the next day. – https://www.micechat.com/410123-disneyland-update-crowd-crush-festival-feasts-disneyland-delays/ This year there is a lot of good Food and Wine Fest merchandise! From a Mickey Ear headband, to kitchenware, to toys and bags, there is something for everyone. – https://wdwnt.com/2025/02/new-2025-disney-california-adventure-food-wine-festival-merchandise-includes-mickey-ear-headband-spirit-jersey-and-more/ Railroad fans should be very happy about this story – the Disneyland Railroad Tour is returning. Starting March 21st, guests will be able to take this tour again, which is 90 minutes, and includes a ride inside the Lilly Belle. The Lilly Belle is the last train car from Disneyland's opening day and was decorated by Lillian Disney herself. The tour also includes a treat, a tour of the roundhouse back stage, a meet and greet with a train engineer, and a special keepsake. The tour is $145 per person, with reservations open now. – https://www.disneyfoodblog.com/2025/02/28/a-fan-favorite-tour-is-returning-soon-at-disneyland-resort/ The signaling building that caught fire back in 2022 at the New Orleans Square station has finally been removed. There are still walls up around the former location, but the building is gone. In other train news, the trains have been cycling around the replaced track and should be opening any time now. – https://www.micechat.com/410123-disneyland-update-crowd-crush-festival-feasts-disneyland-delays/ Indiana Jones just had it's 30th anniversary, and Club 33 is celebrating! For Weeklyteers lucky enough to have access to Club 33, there is an Indiana Jones Ceramic Tiki Mug that features snakes, skulls, and temple emblems. It looks straight out of the temple itself! The mug is $85 and comes with a “Why did it have to be snakes?” cocktail. – https://wdwnt.com/2025/03/disneyland-club-33-celebrating-indiana-jones-adventure-anniversary-with-new-ceramic-mug/ Fans of the character headbands that have popped up around the resort in the last few months will be excited to hear about some additional characters! Baymax and Mochi (the cat from Big Hero 6) are now available to adorn your headband. – https://wdwnt.com/2025/02/baymax-and-mochi-plush-added-to-custom-character-headband-experience-at-disneyland-resort/ D23 Gold members have a cool, monthly opportunity to view an exclusive presentation. The D23 Gold Theater is accessible at the link in our show notes for D23 Gold Members. Each month, a different behind-the-scenes presentation will be streamed. February's topic was 70 Years of Disneyland with Don Hahn and Christopher Merritt. Next month is The Walt Disney Archives Presents Weird Disney on March 27th. – https://d23.com/events/goldtheater/ SnackChat: Food and Wine Festival Discussion Topic: Alex's first time at Disneyland

Almost nice. This week, the boys take a look at a KyoAni darling anime: Tamako Market. Does it hold up to the reputation the studio has with the anime community?Also, the boys rate snacks (including mochi), our listeners are once again presented with a fantastic choice, and more!Support AniPro:Patreon:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/AniProPodSend us a Mailbag: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://anipropod.com/mailbagUse code "ANIPRO" for $5 off your first #TokyoTreat box through our link: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tokyotreat.com/?rfsn=7695251.3317fFollow AniPro:⁠⁠⁠⁠⁠⁠⁠⁠X :⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/AniProPodInstagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/anipropod⁠⁠⁠Discord: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://discord.gg/dV5tMCWvM7Next Reviews:Anime: Umamusume: Pretty Derby → Kids on the SlopeManga: Love BulletTracks:Opening Theme: "Shibuya"Bumper Track: "moonstruck girl", leon changMusic licensed by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ slip.stream⁠⁠Timestamps00:00:00 - AniProPod #169 I ntro00:07:38 - Little Ceasars Pizza00:12:03 - Canadian Hockey Win00:18:45 - Mochi & Doritos00:25:04 - Oreos & Pringles00:33:28 - Reese's & Goldfish00:39:23 - M&M's & Gummy Bears00:44:33 - Listeners' Choice Nominations00:54:39 - Mailbag: AniPro Band00:57:05 - Tamako Market Review Intro01:00:34 - Recommendations & Fave Characters01:06:20 - Dere & The Community01:11:58 - Kyoani Characters01:17:12 - OP, ED, & Our Expectations01:26:52 - To Binge or Not To Binge?01:32:32 - Enough Plot & Comedy Thoughts01:39:24 - Character Designs & Romance01:44:26 - Final Thoughts & Ratings01:51:56 - Wrap-Up

Send us a textSupport the showBreakfast With Tiffany Show Official Facebook Page ~ https://www.facebook.com/breakfastwithtiffanyshow Tiffany's Instagram Account ~ https://www.instagram.com/tiffanyrossdaleofficial/ Breakfast With Tiffany Show Youtube Channel ~ https://bit.ly/3vIVzhE Breakfast With Tiffany Show Official Page ~ https://www.tiffanyrossdale.com/podcast For questions, requests, collaborations and comments, feel free to reach us via our e-mail ~ breakfastwithtiffanyshow@outlook.com SUBSCRIBE and SUPPORT us here ~ https://www.buzzsprout.com/1187534/supporters/new

Winter 2025 is well underway, and the boys have been watching (mostly) everything the current season of anime has to offer. What's good? What's bad? What's mid? Stay tuned and find out!Also, do titles ruin stories, Pokémon lives rent-free in the minds (and hearts) of many, the boys contemplate the inner, psychological complexities of 50% robot, 50% cop, and more!Support AniPro:Patreon:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/AniProPodSend us a Mailbag: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://anipropod.com/mailbagUse code "ANIPRO" for $5 off your first #TokyoTreat box through our link: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tokyotreat.com/?rfsn=7695251.3317fFollow AniPro:⁠⁠⁠⁠⁠⁠⁠⁠Twitter:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/AniProPodInstagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/anipropod⁠⁠⁠Discord: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://discord.gg/dV5tMCWvM7Next Reviews:Anime: Tamako Market → Umamusume: Pretty Derby → Kids on the SlopeManga: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠20th Century Boys → Love BulletTracks:Opening Theme: "Shibuya"Bumper Track: "MOCHI", bear bear & friendsMusic licensed by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠slip.stream⁠⁠Timestamps00:00:00 - AniProPod 167 Intro00:05:59 - Do Titles Affect Our Viewing?00:13:15 - Of Prunes & Pokemon00:20:52 - Cole's Robocop Game00:24:42 - Solo Leveling Season 200:29:20 - Apothecary Diaries Season 200:31:53 - Dr.Stone: Science Future00:36:07 - 100 GF's Season 200:38:46 - My Happy Marriage S200:41:16 - Bang Dream: Ave Mujica00:44:24 - Re;Zero Season 300:46:14 - Link Click Bridon Arc00:51:32 - Austin Powers00:54:13 - Sakamoto Days01:00:55 - Getting Married To A Girl I Hate In My Class01:03:31 - Zenshu01:08:45 - Guild Receptionist01:13:18 - Honey Lemon Soda01:16:05 - Medaka Kuroiwa Is Impervious..01:20:16 - I Have A Crush At Work01:23:06 - Ameku M.D.: Doctor Detective01:25:59 - Welcome To Japan Ms.Elf01:28:04 - Ubel Blatt01:31:43 - Medalist01:35:54 - Otaku Neet Kunoichi01:39:01 - Okitsura: Fell In Love With An Okinawan Girl01:41:33 - Flower & Asura01:43:45 - Red Ranger Becomes an Adventurer01:47:08 - Momentary Lily01:51:26 - Sorairo Utility / Tasokare Hotel

Mochi wish ya girlfriend was HOT LIKE ME? After Chris' extensive travels, later than scheduled *plays train sound effect* the Abroad In Japan Podcast will return this Monday 3rd of Feb! Hosted on Acast. See acast.com/privacy for more information.

We’re diving into Coconut Prawns! // Chef Edouardo Jordan, founder of Food with Roots, joins us to talk about the Soul of Seattle Fundraiser on February 8th // It’s National Soup Month, and we’re exploring the ultimate comfort food: Chicken Soup // Fred Ness from Dahlia Bakery stops by to chat about Mochi Donuts and Seasonal Pastries // Grab your skewers—it’s Fondue Party season! // Back by popular demand, Rachel Belle shares her culinary escapades for the New Year // And of course, we wrap up with Rub with Love Food for Thought Tasty Trivia!

Your Vegas is Showing. Sausage Talk. A me AND a knee problem. I Don't Like Burpeeeeeees! Suitcase lady. I have the loneliness gene. Spared no boob expense. Popcorn Shrimp Without the Popcorn. Las Vegas, Those Aren't Real. Dominant in the word cloud. Very Distinguishable. Goonbots. Crotonana- De Vil. Baby shrimps doo doo doo doo do doo. In the fridge with Travis and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.

Your Vegas is Showing. Sausage Talk. A me AND a knee problem. I Don't Like Burpeeeeeees! Suitcase lady. I have the loneliness gene. Spared no boob expense. Popcorn Shrimp Without the Popcorn. Las Vegas, Those Aren't Real. Dominant in the word cloud. Very Distinguishable. Goonbots. Crotonana- De Vil. Baby shrimps doo doo doo doo do doo. In the fridge with Travis and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.

Zack Davisson is an award-winning translator, writer, and folklorist. He is the author of The Ultimate Guide to Japanese Yokai, Kaibyo The Supernatural Cats of Japan, Yurei the Japanese Ghost, The Art of Star Wars Visions, and Manga: A Visual Guide. He co-writes Ultimate X-Men with Peach Momoko for Marvel Comics. His works have been translated into multiple languages. Zack has translated globally renowned manga such as Go Nagai's Devilman and Cutie Honey, Leiji Matsumoto's Space Battleship Yamato and Captain Harlock, and Satoshi Kon's Opus. He translates Shigeru Mizuki's work such as Kitaro and Showa: A History of Japan, and currently translates Gou Tanabe's Lovecraft adaptations and Nadatani Wataru's Cat + Gamer. Zack lectured on manga, folklore, and translation at Duke University, Annapolis Naval Academy, Università Ca' Foscari Venezia, UCLA, and the University of Washington and contributed to exhibitions at the Museum of International Folkart, Wereldmuseum Rotterdan, Världskulturmuseerna Stockholm, and the Art Gallery of New South Wales. Zack lives in Seattle, WA with his wife Miyuki, dog Mochi, cat Shere Khan, and several ghosts. Bluesky: https://bsky.app/profile/zackdavisson.com Website www.zackdavisson.com

We found a box of stuff someone sent us! Carter made some bad gluten balls. The new microwave is way hotter than the last. The relics in the comedy club. Carter and Tay rapping in the car, and LOTS more! Including some really great texts and emails this week! Hosted on Acast. See acast.com/privacy for more information.

We found a box of stuff someone sent us! Carter made some bad gluten balls. The new microwave is way hotter than the last. The relics in the comedy club. Carter and Tay rapping in the car, and LOTS more! Including some really great texts and emails this week! Hosted on Acast. See acast.com/privacy for more information.

Applications for the NYC AI Engineer Summit, focused on Agents at Work, are open!When we first started Latent Space, in the lightning round we'd always ask guests: “What's your favorite AI product?”. The majority would say Midjourney. The simple UI of prompt → very aesthetic image turned it into a $300M+ ARR bootstrapped business as it rode the first wave of AI image generation.In open source land, StableDiffusion was congregating around AUTOMATIC1111 as the de-facto web UI. Unlike Midjourney, which offered some flags but was mostly prompt-driven, A1111 let users play with a lot more parameters, supported additional modalities like img2img, and allowed users to load in custom models. If you're interested in some of the SD history, you can look at our episodes with Lexica, Replicate, and Playground.One of the people involved with that community was comfyanonymous, who was also part of the Stability team in 2023, decided to build an alternative called ComfyUI, now one of the fastest growing open source projects in generative images, and is now the preferred partner for folks like Black Forest Labs's Flux Tools on Day 1. The idea behind it was simple: “Everyone is trying to make easy to use interfaces. Let me try to make a powerful interface that's not easy to use.”Unlike its predecessors, ComfyUI does not have an input text box. Everything is based around the idea of a node: there's a text input node, a CLIP node, a checkpoint loader node, a KSampler node, a VAE node, etc. While daunting for simple image generation, the tool is amazing for more complex workflows since you can break down every step of the process, and then chain many of them together rather than manually switching between tools. You can also re-start execution halfway instead of from the beginning, which can save a lot of time when using larger models.To give you an idea of some of the new use cases that this type of UI enables:* Sketch something → Generate an image with SD from sketch → feed it into SD Video to animate* Generate an image of an object → Turn into a 3D asset → Feed into interactive experiences* Input audio → Generate audio-reactive videosTheir Examples page also includes some of the more common use cases like AnimateDiff, etc. They recently launched the Comfy Registry, an online library of different nodes that users can pull from rather than having to build everything from scratch. The project has >60,000 Github stars, and as the community grows, some of the projects that people build have gotten quite complex:The most interesting thing about Comfy is that it's not a UI, it's a runtime. You can build full applications on top of image models simply by using Comfy. You can expose Comfy workflows as an endpoint and chain them together just like you chain a single node. We're seeing the rise of AI Engineering applied to art.Major Tom's ComfyUI Resources from the Latent Space DiscordMajor shoutouts to Major Tom on the LS Discord who is a image generation expert, who offered these pointers:* “best thing about comfy is the fact it supports almost immediately every new thing that comes out - unlike A1111 or forge, which still don't support flux cnet for instance. It will be perfect tool when conflicting nodes will be resolved”* AP Workflows from Alessandro Perili are a nice example of an all-in-one train-evaluate-generate system built atop Comfy* ComfyUI YouTubers to learn from:* @sebastiankamph* @NerdyRodent* @OlivioSarikas* @sedetweiler* @pixaroma* ComfyUI Nodes to check out:* https://github.com/kijai/ComfyUI-IC-Light* https://github.com/MrForExample/ComfyUI-3D-Pack* https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait* https://github.com/pydn/ComfyUI-to-Python-Extension* https://github.com/THtianhao/ComfyUI-Portrait-Maker* https://github.com/ssitu/ComfyUI_NestedNodeBuilder* https://github.com/longgui0318/comfyui-magic-clothing* https://github.com/atmaranto/ComfyUI-SaveAsScript* https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID* https://github.com/AIFSH/ComfyUI-FishSpeech* https://github.com/coolzilj/ComfyUI-Photopea* https://github.com/lks-ai/anynode* Sarav: https://www.youtube.com/@mickmumpitz/videos ( applied stuff )* Sarav: https://www.youtube.com/@latentvision (technical, but infrequent)* look for comfyui node for https://github.com/magic-quill/MagicQuill* “Comfy for Video” resources* Kijai (https://github.com/kijai) pushing out support for Mochi, CogVideoX, AnimateDif, LivePortrait etc* Comfyui node support like LTX https://github.com/Lightricks/ComfyUI-LTXVideo , and HunyuanVideo* FloraFauna AI* Communities: https://www.reddit.com/r/StableDiffusion/, https://www.reddit.com/r/comfyui/Full YouTube EpisodeAs usual, you can find the full video episode on our YouTube (and don't forget to like and subscribe!)Timestamps* 00:00:04 Introduction of hosts and anonymous guest* 00:00:35 Origins of Comfy UI and early Stable Diffusion landscape* 00:02:58 Comfy's background and development of high-res fix* 00:05:37 Area conditioning and compositing in image generation* 00:07:20 Discussion on different AI image models (SD, Flux, etc.)* 00:11:10 Closed source model APIs and community discussions on SD versions* 00:14:41 LoRAs and textual inversion in image generation* 00:18:43 Evaluation methods in the Comfy community* 00:20:05 CLIP models and text encoders in image generation* 00:23:05 Prompt weighting and negative prompting* 00:26:22 Comfy UI's unique features and design choices* 00:31:00 Memory management in Comfy UI* 00:33:50 GPU market share and compatibility issues* 00:35:40 Node design and parameter settings in Comfy UI* 00:38:44 Custom nodes and community contributions* 00:41:40 Video generation models and capabilities* 00:44:47 Comfy UI's development timeline and rise to popularity* 00:48:13 Current state of Comfy UI team and future plans* 00:50:11 Discussion on other Comfy startups and potential text generation supportTranscriptAlessio [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Small AI.swyx [00:00:12]: Hey everyone, we are in the Chroma Studio again, but with our first ever anonymous guest, Comfy Anonymous, welcome.Comfy [00:00:19]: Hello.swyx [00:00:21]: I feel like that's your full name, you just go by Comfy, right?Comfy [00:00:24]: Yeah, well, a lot of people just call me Comfy, even when they know my real name. Hey, Comfy.Alessio [00:00:32]: Swyx is the same. You know, not a lot of people call you Shawn.swyx [00:00:35]: Yeah, you have a professional name, right, that people know you by, and then you have a legal name. Yeah, it's fine. How do I phrase this? I think people who are in the know, know that Comfy is like the tool for image generation and now other multimodality stuff. I would say that when I first got started with Stable Diffusion, the star of the show was Automatic 111, right? And I actually looked back at my notes from 2022-ish, like Comfy was already getting started back then, but it was kind of like the up and comer, and your main feature was the flowchart. Can you just kind of rewind to that moment, that year and like, you know, how you looked at the landscape there and decided to start Comfy?Comfy [00:01:10]: Yeah, I discovered Stable Diffusion in 2022, in October 2022. And, well, I kind of started playing around with it. Yes, I, and back then I was using Automatic, which was what everyone was using back then. And so I started with that because I had, it was when I started, I had no idea like how Diffusion works. I didn't know how Diffusion models work, how any of this works, so.swyx [00:01:36]: Oh, yeah. What was your prior background as an engineer?Comfy [00:01:39]: Just a software engineer. Yeah. Boring software engineer.swyx [00:01:44]: But like any, any image stuff, any orchestration, distributed systems, GPUs?Comfy [00:01:49]: No, I was doing basically nothing interesting. Crud, web development? Yeah, a lot of web development, just, yeah, some basic, maybe some basic like automation stuff. Okay. Just. Yeah, no, like, no big companies or anything.swyx [00:02:08]: Yeah, but like already some interest in automations, probably a lot of Python.Comfy [00:02:12]: Yeah, yeah, of course, Python. But I wasn't actually used to like the Node graph interface before I started Comfy UI. It was just, I just thought it was like, oh, like, what's the best way to represent the Diffusion process in the user interface? And then like, oh, well. Well, like, naturally, oh, this is the best way I've found. And this was like with the Node interface. So how I got started was, yeah, so basic October 2022, just like I hadn't written a line of PyTorch before that. So it's completely new. What happened was I kind of got addicted to generating images.Alessio [00:02:58]: As we all did. Yeah.Comfy [00:03:00]: And then I started. I started experimenting with like the high-res fixed in auto, which was for those that don't know, the high-res fix is just since the Diffusion models back then could only generate that low-resolution. So what you would do, you would generate low-resolution image, then upscale, then refine it again. And that was kind of the hack to generate high-resolution images. I really liked generating. Like higher resolution images. So I was experimenting with that. And so I modified the code a bit. Okay. What happens if I, if I use different samplers on the second pass, I was edited the code of auto. So what happens if I use a different sampler? What happens if I use a different, like a different settings, different number of steps? And because back then the. The high-res fix was very basic, just, so. Yeah.swyx [00:04:05]: Now there's a whole library of just, uh, the upsamplers.Comfy [00:04:08]: I think, I think they added a bunch of, uh, of options to the high-res fix since, uh, since, since then. But before that was just so basic. So I wanted to go further. I wanted to try it. What happens if I use a different model for the second, the second pass? And then, well, then the auto code base was, wasn't good enough for. Like, it would have been, uh, harder to implement that in the auto interface than to create my own interface. So that's when I decided to create my own. And you were doing that mostly on your own when you started, or did you already have kind of like a subgroup of people? No, I was, uh, on my own because, because it was just me experimenting with stuff. So yeah, that was it. Then, so I started writing the code January one. 2023, and then I released the first version on GitHub, January 16th, 2023. That's how things got started.Alessio [00:05:11]: And what's, what's the name? Comfy UI right away or? Yeah.Comfy [00:05:14]: Comfy UI. The reason the name, my name is Comfy is people thought my pictures were comfy, so I just, uh, just named it, uh, uh, it's my Comfy UI. So yeah, that's, uh,swyx [00:05:27]: Is there a particular segment of the community that you targeted as users? Like more intensive workflow artists, you know, compared to the automatic crowd or, you know,Comfy [00:05:37]: This was my way of like experimenting with, uh, with new things, like the high risk fixed thing I mentioned, which was like in Comfy, the first thing you could easily do was just chain different models together. And then one of the first things, I think the first times it got a bit of popularity was when I started experimenting with the different, like applying. Prompts to different areas of the image. Yeah. I called it area conditioning, posted it on Reddit and it got a bunch of upvotes. So I think that's when, like, when people first learned of Comfy UI.swyx [00:06:17]: Is that mostly like fixing hands?Comfy [00:06:19]: Uh, no, no, no. That was just, uh, like, let's say, well, it was very, well, it still is kind of difficult to like, let's say you want a mountain, you have an image and then, okay. I'm like, okay. I want the mountain here and I want the, like a, a Fox here.swyx [00:06:37]: Yeah. So compositing the image. Yeah.Comfy [00:06:40]: My way was very easy. It was just like, oh, when you run the diffusion process, you kind of generate, okay. You do pass one pass through the diffusion, every step you do one pass. Okay. This place of the image with this brand, this space, place of the image with the other prop. And then. The entire image with another prop and then just average everything together, every step, and that was, uh, area composition, which I call it. And then, then a month later, there was a paper that came out called multi diffusion, which was the same thing, but yeah, that's, uh,Alessio [00:07:20]: could you do area composition with different models or because you're averaging out, you kind of need the same model.Comfy [00:07:26]: Could do it with, but yeah, I hadn't implemented it. For different models, but, uh, you, you can do it with, uh, with different models if you want, as long as the models share the same latent space, like we, we're supposed to ring a bell every time someone says, yeah, like, for example, you couldn't use like Excel and SD 1.5, because those have a different latent space, but like, uh, yeah, like SD 1.5 models, different ones. You could, you could do that.swyx [00:07:59]: There's some models that try to work in pixel space, right?Comfy [00:08:03]: Yeah. They're very slow. Of course. That's the problem. That that's the, the reason why stable diffusion actually became like popular, like, cause was because of the latent space.swyx [00:08:14]: Small and yeah. Because it used to be latent diffusion models and then they trained it up.Comfy [00:08:19]: Yeah. Cause a pixel pixel diffusion models are just too slow. So. Yeah.swyx [00:08:25]: Have you ever tried to talk to like, like stability, the latent diffusion guys, like, you know, Robin Rombach, that, that crew. Yeah.Comfy [00:08:32]: Well, I used to work at stability.swyx [00:08:34]: Oh, I actually didn't know. Yeah.Comfy [00:08:35]: I used to work at stability. I got, uh, I got hired, uh, in June, 2023.swyx [00:08:42]: Ah, that's the part of the story I didn't know about. Okay. Yeah.Comfy [00:08:46]: So the, the reason I was hired is because they were doing, uh, SDXL at the time and they were basically SDXL. I don't know if you remember it was a base model and then a refiner model. Basically they wanted to experiment, like chaining them together. And then, uh, they saw, oh, right. Oh, this, we can use this to do that. Well, let's hire that guy.swyx [00:09:10]: But they didn't, they didn't pursue it for like SD3. What do you mean? Like the SDXL approach. Yeah.Comfy [00:09:16]: The reason for that approach was because basically they had two models and then they wanted to publish both of them. So they, they trained one on. Lower time steps, which was the refiner model. And then they, the first one was trained normally. And then they went during their test, they realized, oh, like if we string these models together are like quality increases. So let's publish that. It worked. Yeah. But like right now, I don't think many people actually use the refiner anymore, even though it is actually a full diffusion model. Like you can use it on its own. And it's going to generate images. I don't think anyone, people have mostly forgotten about it. But, uh.Alessio [00:10:05]: Can we talk about models a little bit? So stable diffusion, obviously is the most known. I know flux has gotten a lot of traction. Are there any underrated models that people should use more or what's the state of the union?Comfy [00:10:17]: Well, the, the latest, uh, state of the art, at least, yeah, for images there's, uh, yeah, there's flux. There's also SD3.5. SD3.5 is two models. There's a, there's a small one, 2.5B and there's the bigger one, 8B. So it's, it's smaller than flux. So, and it's more, uh, creative in a way, but flux, yeah, flux is the best. People should give SD3.5 a try cause it's, uh, it's different. I won't say it's better. Well, it's better for some like specific use cases. Right. If you want some to make something more like creative, maybe SD3.5. If you want to make something more consistent and flux is probably better.swyx [00:11:06]: Do you ever consider supporting the closed source model APIs?Comfy [00:11:10]: Uh, well, they, we do support them as custom nodes. We actually have some, uh, official custom nodes from, uh, different. Ideogram.swyx [00:11:20]: Yeah. I guess DALI would have one. Yeah.Comfy [00:11:23]: That's, uh, it's just not, I'm not the person that handles that. Sure.swyx [00:11:28]: Sure. Quick question on, on SD. There's a lot of community discussion about the transition from SD1.5 to SD2 and then SD2 to SD3. People still like, you know, very loyal to the previous generations of SDs?Comfy [00:11:41]: Uh, yeah. SD1.5 then still has a lot of, a lot of users.swyx [00:11:46]: The last based model.Comfy [00:11:49]: Yeah. Then SD2 was mostly ignored. It wasn't, uh, it wasn't a big enough improvement over the previous one. Okay.swyx [00:11:58]: So SD1.5, SD3, flux and whatever else. SDXL. SDXL.Comfy [00:12:03]: That's the main one. Stable cascade. Stable cascade. That was a good model. But, uh, that's, uh, the problem with that one is, uh, it got, uh, like SD3 was announced one week after. Yeah.swyx [00:12:16]: It was like a weird release. Uh, what was it like inside of stability actually? I mean, statute of limitations. Yeah. The statute of limitations expired. You know, management has moved. So it's easier to talk about now. Yeah.Comfy [00:12:27]: And inside stability, actually that model was ready, uh, like three months before, but it got, uh, stuck in, uh, red teaming. So basically the product, if that model had released or was supposed to be released by the authors, then it would probably have gotten very popular since it's a, it's a step up from SDXL. But it got all of its momentum stolen. It got stolen by the SD3 announcement. So people kind of didn't develop anything on top of it, even though it's, uh, yeah. It was a good model, at least, uh, completely mostly ignored for some reason. Likeswyx [00:13:07]: I think the naming as well matters. It seemed like a branch off of the main, main tree of development. Yeah.Comfy [00:13:15]: Well, it was different researchers that did it. Yeah. Yeah. Very like, uh, good model. Like it's the Worcestershire authors. I don't know if I'm pronouncing it correctly. Yeah. Yeah. Yeah.swyx [00:13:28]: I actually met them in Vienna. Yeah.Comfy [00:13:30]: They worked at stability for a bit and they left right after the Cascade release.swyx [00:13:35]: This is Dustin, right? No. Uh, Dustin's SD3. Yeah.Comfy [00:13:38]: Dustin is a SD3 SDXL. That's, uh, Pablo and Dome. I think I'm pronouncing his name correctly. Yeah. Yeah. Yeah. Yeah. That's very good.swyx [00:13:51]: It seems like the community is very, they move very quickly. Yeah. Like when there's a new model out, they just drop whatever the current one is. And they just all move wholesale over. Like they don't really stay to explore the full capabilities. Like if, if the stable cascade was that good, they would have AB tested a bit more. Instead they're like, okay, SD3 is out. Let's go. You know?Comfy [00:14:11]: Well, I find the opposite actually. The community doesn't like, they only jump on a new model when there's a significant improvement. Like if there's a, only like a incremental improvement, which is what, uh, most of these models are going to have, especially if you, cause, uh, stay the same parameter count. Yeah. Like you're not going to get a massive improvement, uh, into like, unless there's something big that, that changes. So, uh. Yeah.swyx [00:14:41]: And how are they evaluating these improvements? Like, um, because there's, it's a whole chain of, you know, comfy workflows. Yeah. How does, how does one part of the chain actually affect the whole process?Comfy [00:14:52]: Are you talking on the model side specific?swyx [00:14:54]: Model specific, right? But like once you have your whole workflow based on a model, it's very hard to move.Comfy [00:15:01]: Uh, not, well, not really. Well, it depends on your, uh, depends on their specific kind of the workflow. Yeah.swyx [00:15:09]: So I do a lot of like text and image. Yeah.Comfy [00:15:12]: When you do change, like most workflows are kind of going to be complete. Yeah. It's just like, you might have to completely change your prompt completely change. Okay.swyx [00:15:24]: Well, I mean, then maybe the question is really about evals. Like what does the comfy community do for evals? Just, you know,Comfy [00:15:31]: Well, that they don't really do that. It's more like, oh, I think this image is nice. So that's, uh,swyx [00:15:38]: They just subscribe to Fofr AI and just see like, you know, what Fofr is doing. Yeah.Comfy [00:15:43]: Well, they just, they just generate like it. Like, I don't see anyone really doing it. Like, uh, at least on the comfy side, comfy users, they, it's more like, oh, generate images and see, oh, this one's nice. It's like, yeah, it's not, uh, like the, the more, uh, like, uh, scientific, uh, like, uh, like checking that's more on specifically on like model side. If, uh, yeah, but there is a lot of, uh, vibes also, cause it is a like, uh, artistic, uh, you can create a very good model that doesn't generate nice images. Cause most images on the internet are ugly. So if you, if that's like, if you just, oh, I have the best model at 10th giant, it's super smart. I created on all the, like I've trained on just all the images on the internet. The images are not going to look good. So yeah.Alessio [00:16:42]: Yeah.Comfy [00:16:43]: They're going to be very consistent. But yeah. People like, it's not going to be like the, the look that people are going to be expecting from, uh, from a model. So. Yeah.swyx [00:16:54]: Can we talk about LoRa's? Cause we thought we talked about models then like the next step is probably LoRa's. Before, I actually, I'm kind of curious how LoRa's entered the tool set of the image community because the LoRa paper was 2021. And then like, there was like other methods like textual inversion that was popular at the early SD stage. Yeah.Comfy [00:17:13]: I can't even explain the difference between that. Yeah. Textual inversions. That's basically what you're doing is you're, you're training a, cause well, yeah. Stable diffusion. You have the diffusion model, you have text encoder. So basically what you're doing is training a vector that you're going to pass to the text encoder. It's basically you're training a new word. Yeah.swyx [00:17:37]: It's a little bit like representation engineering now. Yeah.Comfy [00:17:40]: Yeah. Basically. Yeah. You're just, so yeah, if you know how like the text encoder works, basically you have, you take your, your words of your product, you convert those into tokens with the tokenizer and those are converted into vectors. Basically. Yeah. Each token represents a different vector. So each word presents a vector. And those, depending on your words, that's the list of vectors that get passed to the text encoder, which is just. Yeah. Yeah. I'm just a stack of, of attention. Like basically it's a very close to LLM architecture. Yeah. Yeah. So basically what you're doing is just training a new vector. We're saying, well, I have all these images and I want to know which word does that represent? And it's going to get like, you train this vector and then, and then when you use this vector, it hopefully generates. Like something similar to your images. Yeah.swyx [00:18:43]: I would say it's like surprisingly sample efficient in picking up the concept that you're trying to train it on. Yeah.Comfy [00:18:48]: Well, people have kind of stopped doing that even though back as like when I was at Stability, we, we actually did train internally some like textual versions on like T5 XXL actually worked pretty well. But for some reason, yeah, people don't use them. And also they might also work like, like, yeah, this is something and probably have to test, but maybe if you train a textual version, like on T5 XXL, it might also work with all the other models that use T5 XXL because same thing with like, like the textual inversions that, that were trained for SD 1.5, they also kind of work on SDXL because SDXL has the, has two text encoders. And one of them is the same as the, as the SD 1.5 CLIP-L. So those, they actually would, they don't work as strongly because they're only applied to one of the text encoders. But, and the same thing for SD3. SD3 has three text encoders. So it works. It's still, you can still use your textual version SD 1.5 on SD3, but it's just a lot weaker because now there's three text encoders. So it gets even more diluted. Yeah.swyx [00:20:05]: Do people experiment a lot on, just on the CLIP side, there's like Siglip, there's Blip, like do people experiment a lot on those?Comfy [00:20:12]: You can't really replace. Yeah.swyx [00:20:14]: Because they're trained together, right? Yeah.Comfy [00:20:15]: They're trained together. So you can't like, well, what I've seen people experimenting with is a long CLIP. So basically someone fine tuned the CLIP model to accept longer prompts.swyx [00:20:27]: Oh, it's kind of like long context fine tuning. Yeah.Comfy [00:20:31]: So, so like it's, it's actually supported in Core Comfy.swyx [00:20:35]: How long is long?Comfy [00:20:36]: Regular CLIP is 77 tokens. Yeah. Long CLIP is 256. Okay. So, but the hack that like you've, if you use stable diffusion 1.5, you've probably noticed, oh, it still works if I, if I use long prompts, prompts longer than 77 words. Well, that's because the hack is to just, well, you split, you split it up in chugs of 77, your whole big prompt. Let's say you, you give it like the massive text, like the Bible or something, and it would split it up in chugs of 77 and then just pass each one through the CLIP and then just cut anything together at the end. It's not ideal, but it actually works.swyx [00:21:26]: Like the positioning of the words really, really matters then, right? Like this is why order matters in prompts. Yeah.Comfy [00:21:33]: Yeah. Like it, it works, but it's, it's not ideal, but it's what people expect. Like if, if someone gives a huge prompt, they expect at least some of the concepts at the end to be like present in the image. But usually when they give long prompts, they, they don't, they like, they don't expect like detail, I think. So that's why it works very well.swyx [00:21:58]: And while we're on this topic, prompts waiting, negative comments. Negative prompting all, all sort of similar part of this layer of the stack. Yeah.Comfy [00:22:05]: The, the hack for that, which works on CLIP, like it, basically it's just for SD 1.5, well, for SD 1.5, the prompt waiting works well because CLIP L is a, is not a very deep model. So you have a very high correlation between, you have the input token, the index of the input token vector. And the output token, they're very, the concepts are very close, closely linked. So that means if you interpolate the vector from what, well, the, the way Comfy UI does it is it has, okay, you have the vector, you have an empty prompt. So you have a, a chunk, like a CLIP output for the empty prompt, and then you have the one for your prompt. And then it interpolates from that, depending on your prompt. Yeah.Comfy [00:23:07]: So that's how it, how it does prompt waiting. But this stops working the deeper your text encoder is. So on T5X itself, it doesn't work at all. So. Wow.swyx [00:23:20]: Is that a problem for people? I mean, cause I'm used to just move, moving up numbers. Probably not. Yeah.Comfy [00:23:25]: Well.swyx [00:23:26]: So you just use words to describe, right? Cause it's a bigger language model. Yeah.Comfy [00:23:30]: Yeah. So. Yeah. So honestly it might be good, but I haven't seen many complaints on Flux that it's not working. So, cause I guess people can sort of get around it with, with language. So. Yeah.swyx [00:23:46]: Yeah. And then coming back to LoRa's, now the, the popular way to, to customize models is LoRa's. And I saw you also support Locon and LoHa, which I've never heard of before.Comfy [00:23:56]: There's a bunch of, cause what, what the LoRa is essentially is. Instead of like, okay, you have your, your model and then you want to fine tune it. So instead of like, what you could do is you could fine tune the entire thing, but that's a bit heavy. So to speed things up and make things less heavy, what you can do is just fine tune some smaller weights, like basically two, two matrices that when you multiply like two low rank matrices and when you multiply them together, gives a, represents a difference between trained weights and your base weights. So by training those two smaller matrices, that's a lot less heavy. Yeah.Alessio [00:24:45]: And they're portable. So you're going to share them. Yeah. It's like easier. And also smaller.Comfy [00:24:49]: Yeah. That's the, how LoRa's work. So basically, so when, when inferencing you, you get an inference with them pretty efficiently, like how ComputeWrite does it. It just, when you use a LoRa, it just applies it straight on the weights so that there's only a small delay at the base, like before the sampling to when it applies the weights and then it just same speed as, as before. So for, for inference, it's, it's not that bad, but, and then you have, so basically all the LoRa types like LoHa, LoCon, everything, that's just different ways of representing that like. Basically, you can call it kind of like compression, even though it's not really compression, it's just different ways of represented, like just, okay, I want to train a different on the difference on the weights. What's the best way to represent that difference? There's the basic LoRa, which is just, oh, let's multiply these two matrices together. And then there's all the other ones, which are all different algorithms. So. Yeah.Alessio [00:25:57]: So let's talk about LoRa. Let's talk about what comfy UI actually is. I think most people have heard of it. Some people might've seen screenshots. I think fewer people have built very complex workflows. So when you started, automatic was like the super simple way. What were some of the choices that you made? So the node workflow, is there anything else that stands out as like, this was like a unique take on how to do image generation workflows?Comfy [00:26:22]: Well, I feel like, yeah, back then everyone was trying to make like easy to use interface. Yeah. So I'm like, well, everyone's trying to make an easy to use interface.swyx [00:26:32]: Let's make a hard to use interface.Comfy [00:26:37]: Like, so like, I like, I don't need to do that, everyone else doing it. So let me try something like, let me try to make a powerful interface that's not easy to use. So.swyx [00:26:52]: So like, yeah, there's a sort of node execution engine. Yeah. Yeah. And it actually lists, it has this really good list of features of things you prioritize, right? Like let me see, like sort of re-executing from, from any parts of the workflow that was changed, asynchronous queue system, smart memory management, like all this seems like a lot of engineering that. Yeah.Comfy [00:27:12]: There's a lot of engineering in the back end to make things, cause I was always focused on making things work locally very well. Cause that's cause I was using it locally. So everything. So there's a lot of, a lot of thought and working by getting everything to run as well as possible. So yeah. ConfUI is actually more of a back end, at least, well, not all the front ends getting a lot more development, but, but before, before it was, I was pretty much only focused on the backend. Yeah.swyx [00:27:50]: So v0.1 was only August this year. Yeah.Comfy [00:27:54]: With the new front end. Before there was no versioning. So yeah. Yeah. Yeah.swyx [00:27:57]: And so what was the big rewrite for the 0.1 and then the 1.0?Comfy [00:28:02]: Well, that's more on the front end side. That's cause before that it was just like the UI, what, cause when I first wrote it, I just, I said, okay, how can I make, like, I can do web development, but I don't like doing it. Like what's the easiest way I can slap a node interface on this. And then I found this library. Yeah. Like JavaScript library.swyx [00:28:26]: Live graph?Comfy [00:28:27]: Live graph.swyx [00:28:28]: Usually people will go for like react flow for like a flow builder. Yeah.Comfy [00:28:31]: But that seems like too complicated. So I didn't really want to spend time like developing the front end. So I'm like, well, oh, light graph. This has the whole node interface. So, okay. Let me just plug that into, to my backend.swyx [00:28:49]: I feel like if Streamlit or Gradio offered something that you would have used Streamlit or Gradio cause it's Python. Yeah.Comfy [00:28:54]: Yeah. Yeah. Yeah.Comfy [00:29:00]: Yeah.Comfy [00:29:14]: Yeah. logic and your backend logic and just sticks them together.swyx [00:29:20]: It's supposed to be easy for you guys. If you're a Python main, you know, I'm a JS main, right? Okay. If you're a Python main, it's supposed to be easy.Comfy [00:29:26]: Yeah, it's easy, but it makes your whole software a huge mess.swyx [00:29:30]: I see, I see. So you're mixing concerns instead of separating concerns?Comfy [00:29:34]: Well, it's because... Like frontend and backend. Frontend and backend should be well separated with a defined API. Like that's how you're supposed to do it. Smart people disagree. It just sticks everything together. It makes it easy to like a huge mess. And also it's, there's a lot of issues with Gradio. Like it's very good if all you want to do is just get like slap a quick interface on your, like to show off your ML project. Like that's what it's made for. Yeah. Like there's no problem using it. Like, oh, I have my, I have my code. I just wanted a quick interface on it. That's perfect. Like use Gradio. But if you want to make something that's like a real, like real software that will last a long time and will be easy to maintain, then I would avoid it. Yeah.swyx [00:30:32]: So your criticism is Streamlit and Gradio are the same. I mean, those are the same criticisms.Comfy [00:30:37]: Yeah, Streamlit I haven't used as much. Yeah, I just looked a bit.swyx [00:30:43]: Similar philosophy.Comfy [00:30:44]: Yeah, it's similar. It's just, it just seems to me like, okay, for quick, like AI demos, it's perfect.swyx [00:30:51]: Yeah. Going back to like the core tech, like asynchronous queues, slow re-execution, smart memory management, you know, anything that you were very proud of or was very hard to figure out?Comfy [00:31:00]: Yeah. The thing that's the biggest pain in the ass is probably the memory management. Yeah.swyx [00:31:05]: Were you just paging models in and out or? Yeah.Comfy [00:31:08]: Before it was just, okay, load the model, completely unload it. Then, okay, that, that works well when you, your model are small, but if your models are big and it takes sort of like, let's say someone has a, like a, a 4090, and the model size is 10 gigabytes, that can take a few seconds to like load and load, load and load, so you want to try to keep things like in memory, in the GPU memory as much as possible. What Comfy UI does right now is it. It tries to like estimate, okay, like, okay, you're going to sample this model, it's going to take probably this amount of memory, let's remove the models, like this amount of memory that's been loaded on the GPU and then just execute it. But so there's a fine line between just because try to remove the least amount of models that are already loaded. Because as fans, like Windows drivers, and one other problem is the NVIDIA driver on Windows by default, because there's a way to, there's an option to disable that feature, but by default it, like, if you start loading, you can overflow your GPU memory and then it's, the driver's going to automatically start paging to RAM. But the problem with that is it's, it makes everything extremely slow. So when you see people complaining, oh, this model, it works, but oh, s**t, it starts slowing down a lot, that's probably what's happening. So it's basically you have to just try to get, use as much memory as possible, but not too much, or else things start slowing down, or people get out of memory, and then just find, try to find that line where, oh, like the driver on Windows starts paging and stuff. Yeah. And the problem with PyTorch is it's, it's high levels, don't have that much fine-grained control over, like, specific memory stuff, so kind of have to leave, like, the memory freeing to, to Python and PyTorch, which is, can be annoying sometimes.swyx [00:33:32]: So, you know, I think one thing is, as a maintainer of this project, like, you're designing for a very wide surface area of compute, like, you even support CPUs.Comfy [00:33:42]: Yeah, well, that's... That's just, for PyTorch, PyTorch supports CPUs, so, yeah, it's just, that's not, that's not hard to support.swyx [00:33:50]: First of all, is there a market share estimate, like, is it, like, 70% NVIDIA, like, 30% AMD, and then, like, miscellaneous on Apple, Silicon, or whatever?Comfy [00:33:59]: For Comfy? Yeah. Yeah, and, yeah, I don't know the market share.swyx [00:34:03]: Can you guess?Comfy [00:34:04]: I think it's mostly NVIDIA. Right. Because, because AMD, the problem, like, AMD works horribly on Windows. Like, on Linux, it works fine. It's, it's lower than the price equivalent NVIDIA GPU, but it works, like, you can use it, you generate images, everything works. On Linux, on Windows, you might have a hard time, so, that's the problem, and most people, I think most people who bought AMD probably use Windows. They probably aren't going to switch to Linux, so... Yeah. So, until AMD actually, like, ports their, like, raw cam to, to Windows properly, and then there's actually PyTorch, I think they're, they're doing that, they're in the process of doing that, but, until they get it, they get a good, like, PyTorch raw cam build that works on Windows, it's, like, they're going to have a hard time. Yeah.Alessio [00:35:06]: We got to get George on it. Yeah. Well, he's trying to get Lisa Su to do it, but... Let's talk a bit about, like, the node design. So, unlike all the other text-to-image, you have a very, like, deep, so you have, like, a separate node for, like, clip and code, you have a separate node for, like, the case sampler, you have, like, all these nodes. Going back to, like, the making it easy versus making it hard, but, like, how much do people actually play with all the settings, you know? Kind of, like, how do you guide people to, like, hey, this is actually going to be very impactful versus this is maybe, like, less impactful, but we still want to expose it to you?Comfy [00:35:40]: Well, I try to... I try to expose, like, I try to expose everything or, but, yeah, at least for the, but for things, like, for example, for the samplers, like, there's, like, yeah, four different sampler nodes, which go in easiest to most advanced. So, yeah, if you go, like, the easy node, the regular sampler node, that's, you have just the basic settings. But if you use, like, the sampler advanced... If you use, like, the custom advanced node, that, that one you can actually, you'll see you have, like, different nodes.Alessio [00:36:19]: I'm looking it up now. Yeah. What are, like, the most impactful parameters that you use? So, it's, like, you know, you can have more, but, like, which ones, like, really make a difference?Comfy [00:36:30]: Yeah, they all do. They all have their own, like, they all, like, for example, yeah, steps. Usually you want steps, you want them to be as low as possible. But you want, if you're optimizing your workflow, you want to, you lower the steps until, like, the images start deteriorating too much. Because that, yeah, that's the number of steps you're running the diffusion process. So, if you want things to be faster, lower is better. But, yeah, CFG, that's more, you can kind of see that as the contrast of the image. Like, if your image looks too bursty. Then you can lower the CFG. So, yeah, CFG, that's how, yeah, that's how strongly the, like, the negative versus positive prompt. Because when you sample a diffusion model, it's basically a negative prompt. It's just, yeah, positive prediction minus negative prediction.swyx [00:37:32]: Contrastive loss. Yeah.Comfy [00:37:34]: It's positive minus negative, and the CFG does the multiplier. Yeah. Yeah. Yeah, so.Alessio [00:37:41]: What are, like, good resources to understand what the parameters do? I think most people start with automatic, and then they move over, and it's, like, snap, CFG, sampler, name, scheduler, denoise. Read it.Comfy [00:37:53]: But, honestly, well, it's more, it's something you should, like, try out yourself. I don't know, you don't necessarily need to know how it works to, like, what it does. Because even if you know, like, CFGO, it's, like, positive minus negative prompt. Yeah. So the only thing you know at CFG is if it's 1.0, then that means the negative prompt isn't applied. It also means sampling is two times faster. But, yeah. But other than that, it's more, like, you should really just see what it does to the images yourself, and you'll probably get a more intuitive understanding of what these things do.Alessio [00:38:34]: Any other nodes or things you want to shout out? Like, I know the animate diff IP adapter. Those are, like, some of the most popular ones. Yeah. What else comes to mind?Comfy [00:38:44]: Not nodes, but there's, like, what I like is when some people, sometimes they make things that use ComfyUI as their backend. Like, there's a plugin for Krita that uses ComfyUI as its backend. So you can use, like, all the models that work in Comfy in Krita. And I think I've tried it once. But I know a lot of people use it, and it's probably really nice, so.Alessio [00:39:15]: What's the craziest node that people have built, like, the most complicated?Comfy [00:39:21]: Craziest node? Like, yeah. I know some people have made, like, video games in Comfy with, like, stuff like that. So, like, someone, like, I remember, like, yeah, last, I think it was last year, someone made, like, a, like, Wolfenstein 3D in Comfy. Of course. And then one of the inputs was, oh, you can generate a texture, and then it changes the texture in the game. So you can plug it to, like, the workflow. And there's a lot of, if you look there, there's a lot of crazy things people do, so. Yeah.Alessio [00:39:59]: And now there's, like, a node register that people can use to, like, download nodes. Yeah.Comfy [00:40:04]: Like, well, there's always been the, like, the ComfyUI manager. Yeah. But we're trying to make this more, like, I don't know, official, like, with, yeah, with the node registry. Because before the node registry, the, like, okay, how did your custom node get into ComfyUI manager? That's the guy running it who, like, every day he searched GitHub for new custom nodes and added dev annually to his custom node manager. So we're trying to make it less effortless. So we're trying to make it less effortless for him, basically. Yeah.Alessio [00:40:40]: Yeah. But I was looking, I mean, there's, like, a YouTube download node. There's, like, this is almost like, you know, a data pipeline more than, like, an image generation thing at this point. It's, like, you can get data in, you can, like, apply filters to it, you can generate data out.Comfy [00:40:54]: Yeah. You can do a lot of different things. Yeah. So I'm thinking, I think what I did is I made it easy to make custom nodes. So I think that helped a lot. I think that helped a lot for, like, the ecosystem because it is very easy to just make a node. So, yeah, a bit too easy sometimes. Then we have the issue where there's a lot of custom node packs which share similar nodes. But, well, that's, yeah, something we're trying to solve by maybe bringing some of the functionality into the core. Yeah. Yeah. Yeah.Alessio [00:41:36]: And then there's, like, video. People can do video generation. Yeah.Comfy [00:41:40]: Video, that's, well, the first video model was, like, stable video diffusion, which was last, yeah, exactly last year, I think. Like, one year ago. But that wasn't a true video model. So it was...swyx [00:41:55]: It was, like, moving images? Yeah.Comfy [00:41:57]: I generated video. What I mean by that is it's, like, it's still 2D Latents. It's basically what I'm trying to do. So what they did is they took SD2, and then they added some temporal attention to it, and then trained it on videos and all. So it's kind of, like, animated, like, same idea, basically. Why I say it's not a true video model is that you still have, like, the 2D Latents. Like, a true video model, like Mochi, for example, would have 3D Latents. Mm-hmm.Alessio [00:42:32]: Which means you can, like, move through the space, basically. It's the difference. You're not just kind of, like, reorienting. Yeah.Comfy [00:42:39]: And it's also, well, it's also because you have a temporal VAE. Mm-hmm. Also, like, Mochi has a temporal VAE that compresses on, like, the temporal direction, also. So that's something you don't have with, like, yeah, animated diff and stable video diffusion. They only, like, compress spatially, not temporally. Mm-hmm. Right. So, yeah. That's why I call that, like, true video models. There's, yeah, there's actually a few of them, but the one I've implemented in comfy is Mochi, because that seems to be the best one so far. Yeah.swyx [00:43:15]: We had AJ come and speak at the stable diffusion meetup. The other open one I think I've seen is COG video. Yeah.Comfy [00:43:21]: COG video. Yeah. That one's, yeah, it also seems decent, but, yeah. Chinese, so we don't use it. No, it's fine. It's just, yeah, I could. Yeah. It's just that there's a, it's not the only one. There's also a few others, which I.swyx [00:43:36]: The rest are, like, closed source, right? Like, Cling. Yeah.Comfy [00:43:39]: Closed source, there's a bunch of them. But I mean, open. I've seen a few of them. Like, I can't remember their names, but there's COG videos, the big, the big one. Then there's also a few of them that released at the same time. There's one that released at the same time as SSD 3.5, same day, which is why I don't remember the name.swyx [00:44:02]: We should have a release schedule so we don't conflict on each of these things. Yeah.Comfy [00:44:06]: I think SD 3.5 and Mochi released on the same day. So everything else was kind of drowned, completely drowned out. So for some reason, lots of people picked that day to release their stuff.Comfy [00:44:21]: Yeah. Which is, well, shame for those. And I think Omnijet also released the same day, which also seems interesting. Yeah. Yeah.Alessio [00:44:30]: What's Comfy? So you are Comfy. And then there's like, comfy.org. I know we do a lot of things for, like, news research and those guys also have kind of like a more open source thing going on. How do you work? Like you mentioned, you mostly work on like, the core piece of it. And then what...Comfy [00:44:47]: Maybe I should fade it in because I, yeah, I feel like maybe, yeah, I only explain part of the story. Right. Yeah. Maybe I should explain the rest. So yeah. So yeah. Basically, January, that's when the first January 2023, January 16, 2023, that's when Amphi was first released to the public. Then, yeah, did a Reddit post about the area composition thing somewhere in, I don't remember exactly, maybe end of January, beginning of February. And then someone, a YouTuber, made a video about it, like Olivio, he made a video about Amphi in March 2023. I think that's when it was a real burst of attention. And by that time, I was continuing to develop it and it was getting, people were starting to use it more, which unfortunately meant that I had first written it to do like experiments, but then my time to do experiments went down. It started going down, because people were actually starting to use it then. Like, I had to, and I said, well, yeah, time to add all these features and stuff. Yeah, and then I got hired by Stability June, 2023. Then I made, basically, yeah, they hired me because they wanted the SD-XL. So I got the SD-XL working very well withітhe UI, because they were experimenting withámphi.house.com. Actually, the SDX, how the SDXL released worked is they released, for some reason, like they released the code first, but they didn't release the model checkpoint. So they released the code. And then, well, since the research was related to code, I released the code in Compute 2. And then the checkpoints were basically early access. People had to sign up and they only allowed a lot of people from edu emails. Like if you had an edu email, like they gave you access basically to the SDXL 0.9. And, well, that leaked. Right. Of course, because of course it's going to leak if you do that. Well, the only way people could easily use it was with Comfy. So, yeah, people started using. And then I fixed a few of the issues people had. So then the big 1.0 release happened. And, well, Comfy UI was the only way a lot of people could actually run it on their computers. Because it just like automatic was so like inefficient and bad that most people couldn't actually, like it just wouldn't work. Like because he did a quick implementation. So people were forced. To use Comfy UI, and that's how it became popular because people had no choice.swyx [00:47:55]: The growth hack.Comfy [00:47:56]: Yeah.swyx [00:47:56]: Yeah.Comfy [00:47:57]: Like everywhere, like people who didn't have the 4090, they had like, who had just regular GPUs, they didn't have a choice.Alessio [00:48:05]: So yeah, I got a 4070. So think of me. And so today, what's, is there like a core Comfy team or?Comfy [00:48:13]: Uh, yeah, well, right now, um, yeah, we are hiring. Okay. Actually, so right now core, like, um, the core core itself, it's, it's me. Uh, but because, uh, the reason where folks like all the focus has been mostly on the front end right now, because that's the thing that's been neglected for a long time. So, uh, so most of the focus right now is, uh, all on the front end, but we are, uh, yeah, we will soon get, uh, more people to like help me with the actual backend stuff. Yeah. So, no, I'm not going to say a hundred percent because that's why once the, once we have our V one release, which is because it'd be the package, come fee-wise with the nice interface and easy to install on windows and hopefully Mac. Uh, yeah. Yeah. Once we have that, uh, we're going to have to, lots of stuff to do on the backend side and also the front end side, but, uh.Alessio [00:49:14]: What's the release that I'm on the wait list. What's the timing?Comfy [00:49:18]: Uh, soon. Uh, soon. Yeah, I don't want to promise a release date. We do have a release date we're targeting, but I'm not sure if it's public. Yeah, and we're still going to continue doing the open source, making MPUI the best way to run stable infusion models. At least the open source side, it's going to be the best way to run models locally. But we will have a few things to make money from it, like cloud inference or that type of thing. And maybe some things for some enterprises.swyx [00:50:08]: I mean, a few questions on that. How do you feel about the other comfy startups?Comfy [00:50:11]: I mean, I think it's great. They're using your name. Yeah, well, it's better they use comfy than they use something else. Yeah, that's true. It's fine. We're going to try not to... We don't want to... We want people to use comfy. Like I said, it's better that people use comfy than something else. So as long as they use comfy, I think it helps the ecosystem. Because more people, even if they don't contribute directly, the fact that they are using comfy means that people are more likely to join the ecosystem. So, yeah.swyx [00:50:57]: And then would you ever do text?Comfy [00:50:59]: Yeah, well, you can already do text with some custom nodes. So, yeah, it's something we like. Yeah, it's something I've wanted to eventually add to core, but it's more like not a very... It's a very high priority. But because a lot of people use text for prompt enhancement and other things like that. So, yeah, it's just that my focus has always been on diffusion models. Yeah, unless some text diffusion model comes out.swyx [00:51:30]: Yeah, David Holtz is investing a lot in text diffusion.Comfy [00:51:34]: Yeah, well, if a good one comes out, then we'll probably implement it since it fits with the whole...swyx [00:51:39]: Yeah, I mean, I imagine it's going to be a close source to Midjourney. Yeah.Comfy [00:51:43]: Well, if an open one comes out, then I'll probably implement it.Alessio [00:51:54]: Cool, comfy. Thanks so much for coming on. This was fun. Bye. Get full access to Latent Space at www.latent.space/subscribe

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Ever wondered why those two-tiered rice cakes with a tiny orange on top are everywhere in Japan during the New Year? Meet Kagami Mochi! In this episode, we unwrap the symbolism, history, and spiritual significance of this unique tradition—from Shinto rituals to hopes for family prosperity. Plus, we'll tell you why you shouldn't point a knife at it on January 11th! 日本のお正月に、なぜあの小さな橙が乗った二段重ねの鏡餅がどこにでもあるのか、不思議に思ったことはありませんか？今回は「鏡餅」について徹底解説します！このユニークな伝統の象徴や歴史、そして神道の儀式や家族繁栄への願いなど、そのスピリチュアルな意味に迫ります。そして、1月11日に鏡餅を包丁で切ってはいけない理由（硬くて切れない説‼笑）もお話しします！ Support the showhttps://linktr.ee/Sojapanese

SBS Japanese visited Sydney's Fukuoka prefecture association's annual mochi event. Freshly pounded mochi was served with sweet red bean paste, coated in kinako or prepared as Fukuoka-style ozoni soup. - シドニー福岡県人会の毎年恒例、餅つき大会にお邪魔しました。つきたてのお餅はあんこを入れたり、きな粉をかけたり、福岡のお雑煮として振る舞われました。

Tis the season for Sugar Plum Faries, dancing swans and, of course, Nutcrackers. But did you know the Nutcracker isn't just decorative wooden man, but actually a kind of CORVID? Well it is! And this week we learn all about the Nutcracker bird as we continue our Corvid Compendium. Plus, we have a very fun Ready Pet Go from Altaay and Mochi!

Recorded on November 28, 2024 Book talk starts at 29:40   Our 2024 Fall Sweater KAL is continuing.  You have until January 15, 2025 to complete an adult sweater and post a photo in our FOs thread.  It must have some type of sleeves - short sleeves are fine!  Check out our bundles of patterns for inspiration and join the discussion on our Sweater KAL Chatter thread!   Our Zoom group is continuing.  Please join us on Saturdays, 12 noon Pacific time.  All the info you need is in our Ravelry group!   EVENTS We will be at the New Years Fiber Retreat at the St Francis Retreat Center in San Juan Bautista, CA in January. Dates for NoCKRs will be April 10-13, 2025, and registration info letters have been sent out. If you haven't received one and are interested in going to the retreat, please contact Tracie.     KNITTING Barb has finished: Yume by Isabel Kraemer, using Indigodragonfly R.O.U. Sport in the Is She all Green and Fuzzy and Mossy colorway   Tracie has finished: Scraps Chaps by Barbara Prime #6 -“Chihuahua” in Encore Worsted …a hint of summer by Isabel Kraemer in Fyberspates Scrumptious Lace in Jen S. Green and JuniperMon Fibers Findley in Curacao Knit Hat with added earflaps and pompom by Kathy Green in Berocco Vintage in the Mochi colorway Baby/Kids Earflap Hat by Julie Hentz in Berocco Vintage in the Mochi colorway Barb is still working on: Granito by Joji Locatelli, using Serendipidye Dyeworks 24 Carrot Fingering MCN in the Peppermint Julip colorway Two by Two beanie by Anne Gagnon using a mystery worsted yarn in a Heather gray colorway The Market Bag by Davina Choy, using a DK white cotton pima and a DK blue cotton pima   Tracie has Cast On: Koko Bean hat by Judithmarieknits in Lisa Souza Blue Face Leicester Worsted in Styx Gno Fun Like Gnome Fun - 6 Gnaomis in Plymouth Select Worsted for class at Rumpelstilskin LYS Alignment sweater by Katrine Birkenwasser in Seattle Sky Dyeworks Mismated Rhododendron   Tracie is still working on: Davis #5 by Pam Allen in Western Sky Knits Merino 17 Worsted- Nightfall colony Socks for Ryan in Marinated Yarns Practicality 75/25 in Melted Box of Crayons colorway   BOOKS Barb has read: Everyone is Watching by Heather Gedenkauf - 2.5 stars Here One Moment by Liane Moriarty - 5 stars   Barb Did Not Finish: The Boys from Biloxi by John Grisham   Tracie read: Murder Your Employer by Rupert Holmes - 4 stars Reread - Razor Girl by Carl Hiaason - 4 stars The Hive by Gregg Olsen - 3 stars None of this is True by Lisa Jewell - 5 stars Saint Xby Alexis Schaitkin - 4 stars This episode ends with our usual Thanksgiving Thumbs Up/ Thumbs Down from our whole family! 

Is social media still the Wild West of marketing, or has it grown into a strategic powerhouse? In this episode, Whitney Lee sits down with Amy Dang-Stojanovic, managing partner of Mochi, to explore the ever-changing world of social media and PR. They pull back the curtain on: The rise of authentic content and the shift away from polished perfection. Why smaller, nimble teams can outshine big-name agencies. The critical balance between engagement and calls to action in successful campaigns. How content creators and influencers play different but vital roles in modern marketing. Amy also shares her thoughts on navigating client expectations, staying profitable as a social media agency, and crafting innovative content strategies that keep brands ahead of the curve. Whether you're in the trenches of PR or just curious about the inner workings of this fast-paced industry, this conversation is packed with real talk and actionable takeaways.

On this first ever episode of Lobotomy Hour Alex gives a summary of how the rebrand has gone, getting her first ever dog Mochi, doing a podcast swap with Skinny Confidential, and testifying at the FREAKING SENATE! Thank you to our sponsors! Wise Traditions | Use code “ALEX” for $25 OFF at wisetraditions.org MASA | Use code "REALALEXCLARK" for 20% OFF at ⁠⁠masachips.com⁠ Garnuu | Use code “ALEX” for 10% OFF garnuu.com Good Ranchers | Use code “CLARK” for $25 OFF at goodranchers.com YRefy | Call (888) 502-2612 or visit ⁠⁠yrefy.com⁠ Alex Clark Instagram | ⁠⁠⁠@realalexclark⁠⁠⁠ Instagram | ⁠⁠⁠@cultureapothecary⁠⁠⁠ Facebook | ⁠⁠⁠⁠@realalexclark⁠⁠⁠⁠ X | ⁠⁠⁠⁠@yoalexrapz⁠⁠⁠⁠ YouTube | ⁠⁠⁠⁠@RealAlexClark⁠⁠⁠⁠ Spotify | ⁠⁠⁠⁠Culture Apothecary with Alex Clark ⁠⁠⁠⁠ Apple Podcast | ⁠⁠⁠⁠Culture Apothecary with Alex Clark⁠⁠ New 'Culture Apothecary' Merch OUT NOW! Glass tumblers, weekly wellness planners, hats, crewnecks and more. Use code "Alex Clark" for 10% OFF at ⁠⁠⁠⁠tpusamerch.com⁠⁠ Join the Cuteservatives Facebook group to connect with likeminded friends who love America and all things health and wellness! ⁠⁠⁠⁠⁠⁠Join the CUTEservative Facebook Group!⁠⁠⁠⁠⁠ Subscribe to ‘Culture Apothecary' on ⁠⁠Apple Podcasts⁠⁠ and ⁠⁠Spotify⁠⁠. New episodes drop 6pm PST/ 9pm EST every Monday and Thursday. This show is made possible with generous donations from listeners who believe in our mission to heal a sick culture. You can support our show by leaving a tax deductible donation, or by subscribing to ⁠⁠⁠@RealAlexClark⁠⁠⁠ YouTube for FREE! ⁠⁠⁠donate.tpusa.com⁠⁠ #cultureapothecary #alexclark #podcast #health #women