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Create a tutorial of a conditioned diffusion model (or latent diffusion model) that includes classifier free guidance. The tutorial should use the MONAI transformations to drop the conditioning during training 10~20% of the time. During inference, it should show example of conditioned sample and possibly a sampling process including negative prompt (https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Negative-prompt).
The text was updated successfully, but these errors were encountered:
Create a tutorial of a conditioned diffusion model (or latent diffusion model) that includes classifier free guidance. The tutorial should use the MONAI transformations to drop the conditioning during training 10~20% of the time. During inference, it should show example of conditioned sample and possibly a sampling process including negative prompt (https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Negative-prompt).
The text was updated successfully, but these errors were encountered: