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The diffusion guidance works by computing DP = (P-B)*g + B where DP is the diffused latent image, P is the diffused positive prompt, B is the diffused blank prompt, and g is the guidance scale. Adding a negative prompt could be as simple as DN = (N-B)*ng + B, D = 0.5(DP - DN) where D is the desired diffused latent image.
It shouldn't be too difficult so give it a try if you are interested. Otherwise I'll probably get around to it after I implement the refiner model.
I can not figure out how to add negative prompts.
I would be excited to learn how to send a PR for that if you like.
Can you suggest some reading to help me learn about what's going on here?
I have worked in Rust a bit.
I need to understand the torch part.
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