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Merge pull request #5521 from AndrewRyanChama/ryan/img2imglatentscale

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Add latent upscale option to img2img
This commit is contained in:
AUTOMATIC1111
2022-12-24 11:10:35 +03:00
committed by GitHub
parent 34bc3616ec 358a8628f6
commit b2dbd4d698
2 changed files with 6 additions and 2 deletions
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6
modules/processing.py
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@@ -837,7 +837,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
for img in self.init_images:
image = images.flatten(img, opts.img2img_background_color)
if crop_region is None:
if crop_region is None and self.resize_mode != 3:
image = images.resize_image(self.resize_mode, image, self.width, self.height)
if image_mask is not None:
@@ -846,6 +846,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
self.overlay_images.append(image_masked.convert('RGBA'))
# crop_region is not none iif we are doing inpaint full res
if crop_region is not None:
image = image.crop(crop_region)
image = images.resize_image(2, image, self.width, self.height)
@@ -882,6 +883,9 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
self.init_latent = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(image))
if self.resize_mode == 3:
self.init_latent = torch.nn.functional.interpolate(self.init_latent, size=(self.height // opt_f, self.width // opt_f), mode="bilinear")
if image_mask is not None:
init_mask = latent_mask
latmask = init_mask.convert('RGB').resize((self.init_latent.shape[3], self.init_latent.shape[2]))