Merge pull request #15334 from Gourieff/extras--allow-png-rgba--dev

Allow PNG-RGBA for Extras Tab
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AUTOMATIC1111 2024-03-21 07:21:15 +03:00 committed by GitHub
commit b80b1cf92c
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4 changed files with 4 additions and 4 deletions

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@ -66,7 +66,7 @@ def run_postprocessing(extras_mode, image, image_folder, input_dir, output_dir,
if parameters: if parameters:
existing_pnginfo["parameters"] = parameters existing_pnginfo["parameters"] = parameters
initial_pp = scripts_postprocessing.PostprocessedImage(image_data.convert("RGB")) initial_pp = scripts_postprocessing.PostprocessedImage(image_data.convert("RGBA")) if image_data.mode == "RGBA" else scripts_postprocessing.PostprocessedImage(image_data.convert("RGB"))
scripts.scripts_postproc.run(initial_pp, args) scripts.scripts_postproc.run(initial_pp, args)

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@ -12,7 +12,7 @@ def create_ui():
with gr.Column(variant='compact'): with gr.Column(variant='compact'):
with gr.Tabs(elem_id="mode_extras"): with gr.Tabs(elem_id="mode_extras"):
with gr.TabItem('Single Image', id="single_image", elem_id="extras_single_tab") as tab_single: with gr.TabItem('Single Image', id="single_image", elem_id="extras_single_tab") as tab_single:
extras_image = gr.Image(label="Source", source="upload", interactive=True, type="pil", elem_id="extras_image") extras_image = gr.Image(label="Source", source="upload", interactive=True, type="pil", elem_id="extras_image", image_mode="RGBA")
with gr.TabItem('Batch Process', id="batch_process", elem_id="extras_batch_process_tab") as tab_batch: with gr.TabItem('Batch Process', id="batch_process", elem_id="extras_batch_process_tab") as tab_batch:
image_batch = gr.Files(label="Batch Process", interactive=True, elem_id="extras_image_batch") 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
if codeformer_visibility == 0 or not enable: if codeformer_visibility == 0 or not enable:
return return
restored_img = codeformer_model.codeformer.restore(np.array(pp.image, dtype=np.uint8), w=codeformer_weight) restored_img = codeformer_model.codeformer.restore(np.array(pp.image.convert("RGB"), dtype=np.uint8), w=codeformer_weight)
res = Image.fromarray(restored_img) res = Image.fromarray(restored_img)
if codeformer_visibility < 1.0: if codeformer_visibility < 1.0:

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@ -22,7 +22,7 @@ class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing):
if gfpgan_visibility == 0 or not enable: if gfpgan_visibility == 0 or not enable:
return return
restored_img = gfpgan_model.gfpgan_fix_faces(np.array(pp.image, dtype=np.uint8)) restored_img = gfpgan_model.gfpgan_fix_faces(np.array(pp.image.convert("RGB"), dtype=np.uint8))
res = Image.fromarray(restored_img) res = Image.fromarray(restored_img)
if gfpgan_visibility < 1.0: if gfpgan_visibility < 1.0: