How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
Por Computerphile · 4 oct 2022 · 17:50
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AI image generators are massive, but how are they creating such interesting images? Dr Mike Pound explains what's going on.
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Actualizado hace 2 díasAnalizado con IA sobre 100 comentarios.
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Mejores comentarios
“Glad to have finally found someone I can actually listen to about AI, someone that doesn't hype things up and isn't trying to sell me something.”
@InfinityDz · 1122 likeselogio técnico“Finally! Ever since Stable Diffusion was released I was looking for an explainer on how it worked that wasn't "Oh it generates images from noise" or something that went too deep into technicals that I didn't understand.”
@wlockuz4467 · 686 likeselogio técnico“Pounding that like button! You guys have inspired me to start an undergraduate degree in Cyber Security - thank you for all of your videos!”
@myce-liam · 178 likesmotivación
Comentarios más duros
“He explains the "add noise - estimate noise - substract noise - add most noise back - repeat" loop about four times, but then when it comes to how any of this relates to producing images of the actual prompts instead of random noise, it's just "oh GPT embedding", as if that's self-evident.”
@stevekeiretsu · 9 likescrítica dura“man Ive got zero idea after this of...where in the process any kind of affirmation in the training happens.”
@blazera · 2 likesconfusión
