Upload 2 files
Browse files- app.py +6 -6
- externalmod.py +5 -1
app.py
CHANGED
@@ -236,11 +236,11 @@ def make_me():
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with gr.Accordion("Advanced", open=False, visible=True):
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neg_input = gr.Textbox(label='Negative prompt:', lines=1)
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with gr.Row():
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width = gr.
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height = gr.
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with gr.Row():
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steps = gr.
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cfg = gr.
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seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
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#gen_button = gr.Button('Generate images', width=150, height=30)
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#stop_button = gr.Button('Stop', variant='secondary', interactive=False, width=150, height=30)
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@@ -311,5 +311,5 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", fill_width=True, css="div.float.svelte
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# https://www.gradio.app/guides/setting-up-a-demo-for-maximum-performance
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#demo.queue(concurrency_count=999) # concurrency_count is deprecated in 4.x
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demo.queue()
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demo.launch()
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with gr.Accordion("Advanced", open=False, visible=True):
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neg_input = gr.Textbox(label='Negative prompt:', lines=1)
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with gr.Row():
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width = gr.Slider(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
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height = gr.Slider(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
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with gr.Row():
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steps = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
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cfg = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
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seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
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#gen_button = gr.Button('Generate images', width=150, height=30)
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#stop_button = gr.Button('Stop', variant='secondary', interactive=False, width=150, height=30)
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# https://www.gradio.app/guides/setting-up-a-demo-for-maximum-performance
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#demo.queue(concurrency_count=999) # concurrency_count is deprecated in 4.x
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demo.queue(default_concurrency_limit=200, max_size=200)
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demo.launch(max_threads=400)
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externalmod.py
CHANGED
@@ -531,7 +531,11 @@ def gr_Interface_load(
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alias: str | None = None,
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**kwargs,
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) -> Blocks:
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def list_uniq(l):
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alias: str | None = None,
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**kwargs,
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) -> Blocks:
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try:
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return load_blocks_from_repo(name, src, hf_token, alias)
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except Exception as e:
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print(e)
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return gradio.Interface(lambda: None, ['text'], ['image'])
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def list_uniq(l):
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