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Fix flag check for SD15

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huchenlei 2024-05-15 16:54:26 -04:00
parent 9eb2f78631
commit 6a48476502
1 changed files with 2 additions and 2 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) return x.new_zeros(x.shape[0], 2*sd_model.noise_augmentor.time_embed.dim, dtype=x.dtype, device=x.device)
else: else:
if sd_model.model.is_sdxl_inpaint: if getattr(sd_model.model, "is_sdxl_inpaint", False):
# The "masked-image" in this case will just be all 0.5 since the entire image is masked. # 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 = torch.ones(x.shape[0], 3, height, width, device=x.device) * 0.5
image_conditioning = images_tensor_to_samples(image_conditioning, image_conditioning = images_tensor_to_samples(image_conditioning,
@ -387,7 +387,7 @@ class StableDiffusionProcessing:
if self.sampler.conditioning_key == "crossattn-adm": if self.sampler.conditioning_key == "crossattn-adm":
return self.unclip_image_conditioning(source_image) return self.unclip_image_conditioning(source_image)
if self.sampler.model_wrap.inner_model.model.is_sdxl_inpaint: if getattr(self.sampler.model_wrap.inner_model.model, "is_sdxl_inpaint", False):
return self.inpainting_image_conditioning(source_image, latent_image, image_mask=image_mask) 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. # Dummy zero conditioning if we're not using inpainting or depth model.