update composable adapter

#10
by Liangbin - opened
Files changed (1) hide show
  1. app.py +3 -3
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', 'canny', 'sketch', 'openpose', 'depth']
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  # download the checkpoints
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  urls = {
@@ -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=8, step=1)
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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(