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fix inpainting models in txt2img creating black pictures

This commit is contained in:
AUTOMATIC1111 2023-08-30 19:08:04 +03:00
parent ae0b2cc196
commit 6adf2b71c2
1 changed files with 2 additions and 2 deletions
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4
modules/processing.py
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@ -91,8 +91,8 @@ def create_binary_mask(image):
def txt2img_image_conditioning(sd_model, x, width, height): def txt2img_image_conditioning(sd_model, x, width, height):
if sd_model.model.conditioning_key in {'hybrid', 'concat'}: # Inpainting models if sd_model.model.conditioning_key in {'hybrid', 'concat'}: # Inpainting models
# The "masked-image" in this case will just be all zeros 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.zeros(x.shape[0], 3, height, width, device=x.device) image_conditioning = torch.ones(x.shape[0], 3, height, width, device=x.device) * 0.5
image_conditioning = images_tensor_to_samples(image_conditioning, approximation_indexes.get(opts.sd_vae_encode_method)) image_conditioning = images_tensor_to_samples(image_conditioning, approximation_indexes.get(opts.sd_vae_encode_method))
# Add the fake full 1s mask to the first dimension. # Add the fake full 1s mask to the first dimension.