refactor: defaults
Browse files
app.py
CHANGED
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@@ -164,18 +164,18 @@ with gr.Blocks() as demo:
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with gr.Row():
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lycoris_id = gr.Textbox(
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-
label="
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-
value="
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)
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with gr.Row():
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lycoris_weight_name = gr.Textbox(
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-
label="
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value="
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info="Specify for repos with multiple .safetensors files, e.g.: adapter_model.safetensors, pytorch_lora_weights.safetensors, etc."
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)
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lycoris_scale = gr.Slider(
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label="
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minimum=0.0,
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maximum=2.0,
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value=1.00,
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@@ -241,7 +241,7 @@ with gr.Blocks() as demo:
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label="Inference Steps",
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minimum=10,
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maximum=100,
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-
value=
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step=1
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)
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@@ -285,11 +285,8 @@ with gr.Blocks() as demo:
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- For smaller resolution videos, try lower values of flow shift (2.0-5.0)
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- For larger resolution videos, try higher values of flow shift (7.0-12.0)
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- Number of frames should be of the form 4k+1 (e.g., 33, 81)
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- Stick to lower frame counts. Even at 480p, an 81 frame sequence at 30 steps will nearly time out the request in this space.
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## Using LyCORIS with multiple safetensors files:
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If you encounter an error stating "Could not download default adapter file", you need to specify the exact weight file name in the "LyCORIS Weight Name" field.
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You can find this by browsing the repository on Hugging Face and looking for the safetensors files (common names include: adapter_model.safetensors, pytorch_lora_weights.safetensors).
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""")
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demo.launch()
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with gr.Row():
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lycoris_id = gr.Textbox(
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+
label="Adapter Repo (e.g., markury/wan-st)",
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+
value="markury/wan-st"
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)
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with gr.Row():
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lycoris_weight_name = gr.Textbox(
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+
label="Adapter Path in Repo",
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value="pytorch_lora_weights.safetensors",
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info="Specify for repos with multiple .safetensors files, e.g.: adapter_model.safetensors, pytorch_lora_weights.safetensors, etc."
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)
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lycoris_scale = gr.Slider(
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+
label="Adapter Scale",
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minimum=0.0,
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maximum=2.0,
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value=1.00,
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label="Inference Steps",
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minimum=10,
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maximum=100,
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+
value=20,
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step=1
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)
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- For smaller resolution videos, try lower values of flow shift (2.0-5.0)
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| 286 |
- For larger resolution videos, try higher values of flow shift (7.0-12.0)
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| 287 |
- Number of frames should be of the form 4k+1 (e.g., 33, 81)
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+
- Stick to lower frame counts. Even at 480p, an 81 frame sequence at 30 steps will nearly time out the request in this ZeroGPU space.
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""")
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demo.launch()
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