Spaces:
Running
on
Zero
Running
on
Zero
zhiweili
commited on
Commit
•
3b23350
1
Parent(s):
01b766d
add lineart and canny scale
Browse files- app_haircolor.py +4 -3
app_haircolor.py
CHANGED
@@ -119,7 +119,7 @@ def create_demo() -> gr.Blocks:
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with gr.Column():
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edit_prompt = gr.Textbox(lines=1, label="Edit Prompt", value=DEFAULT_EDIT_PROMPT)
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generate_size = gr.Number(label="Generate Size", value=1024)
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-
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category = gr.Textbox(label="Category", value=DEFAULT_CATEGORY, visible=False)
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with gr.Column():
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num_steps = gr.Slider(minimum=1, maximum=100, value=30, step=1, label="Num Steps")
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@@ -127,7 +127,8 @@ def create_demo() -> gr.Blocks:
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mask_expansion = gr.Number(label="Mask Expansion", value=50, visible=True)
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with gr.Column():
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mask_dilation = gr.Slider(minimum=0, maximum=10, value=2, step=1, label="Mask Dilation")
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-
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g_btn = gr.Button("Edit Image")
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with gr.Row():
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@@ -146,7 +147,7 @@ def create_demo() -> gr.Blocks:
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outputs=[origin_area_image, croper],
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).success(
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fn=image_to_image,
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-
inputs=[origin_area_image, edit_prompt,seed, num_steps, guidance_scale, generate_size,
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outputs=[generated_image, generated_cost],
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).success(
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fn=restore_result,
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with gr.Column():
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edit_prompt = gr.Textbox(lines=1, label="Edit Prompt", value=DEFAULT_EDIT_PROMPT)
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generate_size = gr.Number(label="Generate Size", value=1024)
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+
seed = gr.Number(label="Seed", value=8)
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category = gr.Textbox(label="Category", value=DEFAULT_CATEGORY, visible=False)
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with gr.Column():
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num_steps = gr.Slider(minimum=1, maximum=100, value=30, step=1, label="Num Steps")
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mask_expansion = gr.Number(label="Mask Expansion", value=50, visible=True)
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with gr.Column():
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mask_dilation = gr.Slider(minimum=0, maximum=10, value=2, step=1, label="Mask Dilation")
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+
lineart_scale = gr.Slider(minimum=0, maximum=2, value=1, step=0.1, label="Lineart Scale")
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+
canny_scale = gr.Slider(minimum=0, maximum=2, value=0.5, step=0.1, label="Canny Scale")
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g_btn = gr.Button("Edit Image")
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with gr.Row():
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outputs=[origin_area_image, croper],
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).success(
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fn=image_to_image,
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+
inputs=[origin_area_image, edit_prompt,seed, num_steps, guidance_scale, generate_size, lineart_scale, canny_scale],
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outputs=[generated_image, generated_cost],
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).success(
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fn=restore_result,
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