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Nice, left a comment -- will also need flag for precision (f16 is only viable path for current GPU optimizations)
| if hf_model_name == "stabilityai/stable-diffusion-2-1-base": | ||
| encoder_hidden_states_sizes = (2, 77, 1024) | ||
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| sample = (batch_size, unet_model.unet.config.in_channels, height // 8, width // 8) |
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Do we not use the scaling as such for controlled unet? Can this be made conditional?
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do we not need this anymore? |
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we definitely need it, though controlnet is lower priority until we have base sd/sdxl inference (+ img2img) locked down |
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The preprocessors (except canny) need some more work, so they'll go in a separate PR.