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Fix sdxl inpaint

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huchenlei
2024-06-08 22:11:11 -04:00
parent 547778b10f
commit d875cda565
2 changed files with 14 additions and 9 deletions
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4
modules/processing.py
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@@ -115,7 +115,7 @@ def txt2img_image_conditioning(sd_model, x, width, height):
return x.new_zeros(x.shape[0], 2*sd_model.noise_augmentor.time_embed.dim, dtype=x.dtype, device=x.device)
else:
if getattr(sd_model.model, "is_sdxl_inpaint", False):
if sd_model.is_sdxl_inpaint:
# The "masked-image" in this case will just be all 0.5 since the entire image is masked.
image_conditioning = torch.ones(x.shape[0], 3, height, width, device=x.device) * 0.5
image_conditioning = images_tensor_to_samples(image_conditioning,
@@ -389,7 +389,7 @@ class StableDiffusionProcessing:
if self.sampler.conditioning_key == "crossattn-adm":
return self.unclip_image_conditioning(source_image)
if getattr(self.sampler.model_wrap.inner_model.model, "is_sdxl_inpaint", False):
if self.sampler.model_wrap.inner_model.is_sdxl_inpaint:
return self.inpainting_image_conditioning(source_image, latent_image, image_mask=image_mask)
# Dummy zero conditioning if we're not using inpainting or depth model.