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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-12-29 19:05:05 +08:00
FIX: Allow PNG-RGBA for Extras Tab
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bef51aed03
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@ -66,7 +66,7 @@ def run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir,
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if parameters:
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if parameters:
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existing_pnginfo["parameters"] = parameters
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existing_pnginfo["parameters"] = parameters
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initial_pp = scripts_postprocessing.PostprocessedImage(image_data.convert("RGB"))
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initial_pp = scripts_postprocessing.PostprocessedImage(image_data)
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scripts.scripts_postproc.run(initial_pp, args)
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scripts.scripts_postproc.run(initial_pp, args)
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@ -12,7 +12,7 @@ def create_ui():
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with gr.Column(variant='compact'):
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with gr.Column(variant='compact'):
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with gr.Tabs(elem_id="mode_extras"):
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with gr.Tabs(elem_id="mode_extras"):
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with gr.TabItem('Single Image', id="single_image", elem_id="extras_single_tab") as tab_single:
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with gr.TabItem('Single Image', id="single_image", elem_id="extras_single_tab") as tab_single:
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extras_image = gr.Image(label="Source", source="upload", interactive=True, type="pil", elem_id="extras_image")
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extras_image = gr.Image(label="Source", source="upload", interactive=True, type="pil", elem_id="extras_image", image_mode="RGBA")
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with gr.TabItem('Batch Process', id="batch_process", elem_id="extras_batch_process_tab") as tab_batch:
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with gr.TabItem('Batch Process', id="batch_process", elem_id="extras_batch_process_tab") as tab_batch:
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image_batch = gr.Files(label="Batch Process", interactive=True, elem_id="extras_image_batch")
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image_batch = gr.Files(label="Batch Process", interactive=True, elem_id="extras_image_batch")
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@ -25,7 +25,7 @@ class ScriptPostprocessingCodeFormer(scripts_postprocessing.ScriptPostprocessing
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if codeformer_visibility == 0 or not enable:
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if codeformer_visibility == 0 or not enable:
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return
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return
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restored_img = codeformer_model.codeformer.restore(np.array(pp.image, dtype=np.uint8), w=codeformer_weight)
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restored_img = codeformer_model.codeformer.restore(np.array(pp.image.convert("RGB"), dtype=np.uint8), w=codeformer_weight)
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res = Image.fromarray(restored_img)
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res = Image.fromarray(restored_img)
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if codeformer_visibility < 1.0:
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if codeformer_visibility < 1.0:
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@ -22,7 +22,7 @@ class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing):
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if gfpgan_visibility == 0 or not enable:
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if gfpgan_visibility == 0 or not enable:
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return
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return
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restored_img = gfpgan_model.gfpgan_fix_faces(np.array(pp.image, dtype=np.uint8))
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restored_img = gfpgan_model.gfpgan_fix_faces(np.array(pp.image.convert("RGB"), dtype=np.uint8))
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res = Image.fromarray(restored_img)
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res = Image.fromarray(restored_img)
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if gfpgan_visibility < 1.0:
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if gfpgan_visibility < 1.0:
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