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We explain diffusion models and flow-matching models side by side to highlight the key differences between them. Flow-Matching Models are the new generation of AI image generators that are quickly replacing diffusion models — they take everything diffusion did well, but make it faster, smoother, and deterministic. AI Coffee Break Merch! 🛍️ https://aicoffeebreak.creator-spring.... Text to image diffusion models: • How does Stable Diffusion work? – Latent D... Useful deeper reading: • 🌊 Lipman et al., “Flow Matching for Generative Modeling” (2023) — https://arxiv.org/abs/2210.02747 • 🧮 Kingma and Gao, "Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation" (2022) — https://arxiv.org/abs/2210.02747 • ⚡ Esser et al, "Scaling Rectified Flow Transformers for High-Resolution Image Synthesis" (2024) — https://arxiv.org/abs/2403.03206 Thanks to our Patrons who support us in Tier 2, 3, 4: 🙏 Vignesh Valliappan, Ivan Janov, Sunny Dhiana, Andy Ma Outline: 00:00 Difference between Flow-matching and Diffusion 01:07 Training Diffusion Models 05:45 Inference for Diffusion Models 09:03 Training Flow-Matching 11:55 Inference with Flow-Matching 14:02 Side-by-Side Comparison ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🔥 Optionally, pay us a coffee to help with our Coffee Bean production! ☕ Patreon: / aicoffeebreak Ko-fi: https://ko-fi.com/aicoffeebreak Join this channel as a Bean Member to get access to perks: / @aicoffeebreak ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🔗 Links: AICoffeeBreakQuiz: / aicoffeebreak Twitter / X: / aicoffeebreak LinkedIn: / letitia-parcalabescu Threads: https://www.threads.net/@ai.coffee.break Bluesky: https://bsky.app/profile/aicoffeebrea... Reddit: / aicoffeebreak YouTube: / aicoffeebreak Substack: https://aicoffeebreakwl.substack.com/ Web: https://explanationmark.de/letitia https://aicoffeebreak.com #AICoffeeBreak #MsCoffeeBean #MachineLearning #AI #research Video editing: Nils Trost