From 80873b1538e6ca0c7ebe558f8ce4213b06fd8307 Mon Sep 17 00:00:00 2001 From: AUTOMATIC1111 <16777216c@gmail.com> Date: Tue, 2 Jan 2024 07:05:05 +0300 Subject: fix #14497 --- modules/processing.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 045c7d79..84e7b1b4 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -1530,6 +1530,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): if self.inpainting_mask_invert: image_mask = ImageOps.invert(image_mask) + self.extra_generation_params["Mask mode"] = "Inpaint not masked" if self.mask_blur_x > 0: np_mask = np.array(image_mask) @@ -1543,6 +1544,9 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): np_mask = cv2.GaussianBlur(np_mask, (1, kernel_size), self.mask_blur_y) image_mask = Image.fromarray(np_mask) + if self.mask_blur_x > 0 or self.mask_blur_y > 0: + self.extra_generation_params["Mask blur"] = self.mask_blur + if self.inpaint_full_res: self.mask_for_overlay = image_mask mask = image_mask.convert('L') @@ -1553,6 +1557,9 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): mask = mask.crop(crop_region) image_mask = images.resize_image(2, mask, self.width, self.height) self.paste_to = (x1, y1, x2-x1, y2-y1) + + self.extra_generation_params["Inpaint area"] = "Only masked" + self.extra_generation_params["Masked area padding"] = self.inpaint_full_res_padding else: image_mask = images.resize_image(self.resize_mode, image_mask, self.width, self.height) np_mask = np.array(image_mask) @@ -1594,6 +1601,9 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): if self.inpainting_fill != 1: image = masking.fill(image, latent_mask) + if self.inpainting_fill == 0: + self.extra_generation_params["Masked content"] = 'fill' + if add_color_corrections: self.color_corrections.append(setup_color_correction(image)) @@ -1643,8 +1653,11 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): # this needs to be fixed to be done in sample() using actual seeds for batches if self.inpainting_fill == 2: self.init_latent = self.init_latent * self.mask + create_random_tensors(self.init_latent.shape[1:], all_seeds[0:self.init_latent.shape[0]]) * self.nmask + self.extra_generation_params["Masked content"] = 'latent noise' + elif self.inpainting_fill == 3: self.init_latent = self.init_latent * self.mask + self.extra_generation_params["Masked content"] = 'latent nothing' self.image_conditioning = self.img2img_image_conditioning(image * 2 - 1, self.init_latent, image_mask, self.mask_round) -- cgit v1.2.3