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Runtime error
update composable adapter
#10
by
Liangbin
- opened
app.py
CHANGED
@@ -21,7 +21,7 @@ from ldm.modules.extra_condition.api import (ExtraCondition, get_adapter_feature
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torch.set_grad_enabled(False)
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supported_cond = ['style', 'color', '
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# download the checkpoints
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urls = {
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@@ -276,8 +276,8 @@ with gr.Blocks(css='style.css') as demo:
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neg_prompt = gr.Textbox(label="Negative Prompt", value=DEFAULT_NEGATIVE_PROMPT)
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scale = gr.Slider(
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label="Guidance Scale (Classifier free guidance)", value=7.5, minimum=1, maximum=20, step=0.1)
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n_samples = gr.Slider(label="Num samples", value=1, minimum=1, maximum=
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seed = gr.Slider(label="Seed", value=42, minimum=0, maximum=10000, step=1)
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steps = gr.Slider(label="Steps", value=50, minimum=10, maximum=100, step=1)
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resize_short_edge = gr.Slider(label="Image resolution", value=512, minimum=320, maximum=1024, step=1)
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cond_tau = gr.Slider(
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torch.set_grad_enabled(False)
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supported_cond = ['style', 'color', 'sketch', 'openpose', 'depth', 'canny']
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# download the checkpoints
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urls = {
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neg_prompt = gr.Textbox(label="Negative Prompt", value=DEFAULT_NEGATIVE_PROMPT)
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scale = gr.Slider(
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label="Guidance Scale (Classifier free guidance)", value=7.5, minimum=1, maximum=20, step=0.1)
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n_samples = gr.Slider(label="Num samples", value=1, minimum=1, maximum=1, step=1)
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seed = gr.Slider(label="Seed", value=42, minimum=0, maximum=10000, step=1, randomize=True)
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steps = gr.Slider(label="Steps", value=50, minimum=10, maximum=100, step=1)
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resize_short_edge = gr.Slider(label="Image resolution", value=512, minimum=320, maximum=1024, step=1)
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cond_tau = gr.Slider(
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