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https://github.com/lllyasviel/Fooocus.git
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feat: extract inpaint_ctrls attributes
debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate
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+20
-12
@@ -162,6 +162,14 @@ def worker():
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freeu_b2 = args.pop()
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freeu_s1 = args.pop()
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freeu_s2 = args.pop()
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debugging_inpaint_preprocessor = args.pop()
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inpaint_disable_initial_latent = args.pop()
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inpaint_engine = args.pop()
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inpaint_strength = args.pop()
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inpaint_respective_field = args.pop()
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inpaint_mask_upload_checkbox = args.pop()
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invert_mask_checkbox = args.pop()
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inpaint_erode_or_dilate = args.pop()
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cn_tasks = {x: [] for x in flags.ip_list}
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for _ in range(4):
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@@ -246,7 +254,7 @@ def worker():
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skip_prompt_processing = False
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inpaint_worker.current_task = None
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inpaint_parameterized = advanced_parameters.inpaint_engine != 'None'
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inpaint_parameterized = inpaint_engine != 'None'
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inpaint_image = None
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inpaint_mask = None
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inpaint_head_model_path = None
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@@ -294,7 +302,7 @@ def worker():
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inpaint_image = inpaint_input_image['image']
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inpaint_mask = inpaint_input_image['mask'][:, :, 0]
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if advanced_parameters.inpaint_mask_upload_checkbox:
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if inpaint_mask_upload_checkbox:
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if isinstance(inpaint_mask_image_upload, np.ndarray):
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if inpaint_mask_image_upload.ndim == 3:
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H, W, C = inpaint_image.shape
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@@ -303,10 +311,10 @@ def worker():
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inpaint_mask_image_upload = (inpaint_mask_image_upload > 127).astype(np.uint8) * 255
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inpaint_mask = np.maximum(inpaint_mask, inpaint_mask_image_upload)
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if int(advanced_parameters.inpaint_erode_or_dilate) != 0:
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inpaint_mask = erode_or_dilate(inpaint_mask, advanced_parameters.inpaint_erode_or_dilate)
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if int(inpaint_erode_or_dilate) != 0:
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inpaint_mask = erode_or_dilate(inpaint_mask, inpaint_erode_or_dilate)
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if advanced_parameters.invert_mask_checkbox:
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if invert_mask_checkbox:
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inpaint_mask = 255 - inpaint_mask
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inpaint_image = HWC3(inpaint_image)
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@@ -317,7 +325,7 @@ def worker():
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if inpaint_parameterized:
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progressbar(async_task, 1, 'Downloading inpainter ...')
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inpaint_head_model_path, inpaint_patch_model_path = modules.config.downloading_inpaint_models(
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advanced_parameters.inpaint_engine)
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inpaint_engine)
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base_model_additional_loras += [(inpaint_patch_model_path, 1.0)]
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print(f'[Inpaint] Current inpaint model is {inpaint_patch_model_path}')
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if refiner_model_name == 'None':
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@@ -581,19 +589,19 @@ def worker():
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inpaint_image = np.ascontiguousarray(inpaint_image.copy())
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inpaint_mask = np.ascontiguousarray(inpaint_mask.copy())
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advanced_parameters.inpaint_strength = 1.0
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advanced_parameters.inpaint_respective_field = 1.0
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inpaint_strength = 1.0
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inpaint_respective_field = 1.0
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denoising_strength = advanced_parameters.inpaint_strength
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denoising_strength = inpaint_strength
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inpaint_worker.current_task = inpaint_worker.InpaintWorker(
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image=inpaint_image,
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mask=inpaint_mask,
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use_fill=denoising_strength > 0.99,
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k=advanced_parameters.inpaint_respective_field
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k=inpaint_respective_field
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)
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if advanced_parameters.debugging_inpaint_preprocessor:
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if debugging_inpaint_preprocessor:
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yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(),
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do_not_show_finished_images=True)
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return
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@@ -639,7 +647,7 @@ def worker():
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model=pipeline.final_unet
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)
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if not advanced_parameters.inpaint_disable_initial_latent:
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if not inpaint_disable_initial_latent:
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initial_latent = {'samples': latent_fill}
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B, C, H, W = latent_fill.shape
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