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I think right now we could setup the AI's to do the prompts. You type in a vague description - "gorilla in a suit" and that is passed to GPT-3's API with instructions to provide a detailed and vivid description of the input in X style where X is one of several different styles. GPT-3 generates multiple prompts, the prompts passed to Stable Diffusion, the user gets back a grid of different images and styles. Selecting an image on the results grid prompts for variation, possibly of the prompt and the images.


Stable Diffusion already includes a GPT-type language model - that's what's understanding your text prompt.


Sure it's a similar architecture but c'mon, 307 million learnable params for ViT-L vs 175 billion for GPT-3...




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