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Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
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@@ -63,6 +63,9 @@ def infer(
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system_prompt=default_system_prompt,
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cfg_normalization=True,
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cfg_trunc_ratio=1.0,
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progress=gr.Progress(track_tqdm=True),
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):
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if randomize_seed:
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@@ -70,6 +73,11 @@ def infer(
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generator = torch.Generator().manual_seed(seed)
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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@@ -79,8 +87,9 @@ def infer(
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height=height,
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generator=generator,
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system_prompt=system_prompt,
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cfg_normalization=cfg_normalization,
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cfg_trunc_ratio=cfg_trunc_ratio
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).images[0]
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return image, seed
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@@ -104,6 +113,7 @@ with gr.Blocks(css=css) as demo:
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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max_lines=4,
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placeholder="Enter your prompt",
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container=False,
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@@ -117,12 +127,14 @@ with gr.Blocks(css=css) as demo:
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with gr.Row():
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system_prompt = gr.Text(
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label="System Prompt",
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max_lines=4,
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value=default_system_prompt
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)
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negative_prompt = gr.Text(
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label="Negative prompt",
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max_lines=4,
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placeholder="Enter a negative prompt",
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)
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@@ -172,6 +184,14 @@ with gr.Blocks(css=css) as demo:
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value=30,
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)
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with gr.Row():
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cfg_normalization = gr.Checkbox(
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label="CFG Normalization",
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@@ -185,6 +205,21 @@ with gr.Blocks(css=css) as demo:
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value=1.0
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)
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gr.Examples(examples=examples, inputs=[prompt], outputs=[result, seed], fn=infer, cache_examples=True, cache_mode="lazy")
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gr.on(
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@@ -202,6 +237,9 @@ with gr.Blocks(css=css) as demo:
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system_prompt,
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cfg_normalization,
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cfg_trunc_ratio,
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],
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outputs=[result, seed],
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)
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system_prompt=default_system_prompt,
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cfg_normalization=True,
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cfg_trunc_ratio=1.0,
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max_sequence_length=256,
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dynamic_shifting=True,
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sigmas="Default",
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progress=gr.Progress(track_tqdm=True),
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):
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if randomize_seed:
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generator = torch.Generator().manual_seed(seed)
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pipe.scheduler.config.use_dynamic_shifting = dynamic_shifting
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pipe.scheduler.config.use_karras_sigmas = sigmas == "Karras"
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pipe.scheduler.config.use_exponential_sigmas = sigmas == "Exponential"
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pipe.scheduler.config.use_beta_sigmas = sigmas == "Beta"
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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height=height,
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generator=generator,
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system_prompt=system_prompt,
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max_sequence_length=max_sequence_length,
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cfg_normalization=cfg_normalization,
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cfg_trunc_ratio=cfg_trunc_ratio,
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).images[0]
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return image, seed
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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lines=2,
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max_lines=4,
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placeholder="Enter your prompt",
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container=False,
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with gr.Row():
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system_prompt = gr.Text(
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label="System Prompt",
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lines=2,
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max_lines=4,
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value=default_system_prompt
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)
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negative_prompt = gr.Text(
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label="Negative prompt",
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lines=2,
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max_lines=4,
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placeholder="Enter a negative prompt",
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)
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value=30,
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)
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max_sequence_length = gr.Slider(
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label="Max Sequence Length",
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minimum=16,
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maximum=512,
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value=256,
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step=8
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)
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with gr.Row():
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cfg_normalization = gr.Checkbox(
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label="CFG Normalization",
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value=1.0
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)
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with gr.Row():
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dynamic_shifting = gr.Checkbox(
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label="Use Dynamic Shifting",
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value=True
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)
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sigmas = gr.Dropdown(
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choices=[
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"Default",
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"Karras",
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"Exponential",
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"Beta"
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],
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value="Default"
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)
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gr.Examples(examples=examples, inputs=[prompt], outputs=[result, seed], fn=infer, cache_examples=True, cache_mode="lazy")
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gr.on(
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system_prompt,
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cfg_normalization,
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cfg_trunc_ratio,
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max_sequence_length,
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dynamic_shifting,
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sigmas
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],
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outputs=[result, seed],
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)
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