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Runtime error
Runtime error
heheyas
commited on
Commit
•
20fbe27
1
Parent(s):
0d421c9
add seed
Browse files
app.py
CHANGED
@@ -40,9 +40,11 @@ def do_sample(
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border_ratio,
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ignore_alpha,
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output_folder,
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):
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# if image.mode == "RGBA":
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# image = image.convert("RGB")
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image = Image.fromarray(image)
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w, h = image.size
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@@ -213,6 +215,7 @@ with gr.Blocks(title="V3D", theme=gr.themes.Monochrome()) as demo:
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maximum=0.5,
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step=0.05,
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)
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decoding_t_slider = gr.Slider(
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value=1,
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label="Number of Decoding frames",
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@@ -224,14 +227,14 @@ with gr.Blocks(title="V3D", theme=gr.themes.Monochrome()) as demo:
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value=3.5,
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label="Min CFG Value",
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minimum=0.05,
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-
maximum=
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step=0.05,
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)
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max_guidance_slider = gr.Slider(
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value=3.5,
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label="Max CFG Value",
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minimum=0.05,
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-
maximum=
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step=0.05,
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)
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run_button = gr.Button(value="Run V3D")
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@@ -246,10 +249,11 @@ with gr.Blocks(title="V3D", theme=gr.themes.Monochrome()) as demo:
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min_guidance_slider,
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max_guidance_slider,
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decoding_t_slider,
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],
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outputs=[output_video],
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)
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-
def _(image, border_ratio, min_guidance, max_guidance, decoding_t):
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model.sampler.guider.max_scale = max_guidance
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model.sampler.guider.min_scale = min_guidance
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return do_sample(
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@@ -260,6 +264,7 @@ with gr.Blocks(title="V3D", theme=gr.themes.Monochrome()) as demo:
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border_ratio,
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False,
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output_folder,
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)
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border_ratio,
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ignore_alpha,
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output_folder,
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+
seed,
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):
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# if image.mode == "RGBA":
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# image = image.convert("RGB")
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+
torch.manual_seed(seed)
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image = Image.fromarray(image)
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w, h = image.size
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maximum=0.5,
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step=0.05,
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)
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+
seed_input = gr.Number(value=42)
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decoding_t_slider = gr.Slider(
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value=1,
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label="Number of Decoding frames",
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value=3.5,
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label="Min CFG Value",
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minimum=0.05,
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+
maximum=5,
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step=0.05,
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)
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max_guidance_slider = gr.Slider(
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value=3.5,
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label="Max CFG Value",
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minimum=0.05,
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+
maximum=5,
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step=0.05,
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)
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run_button = gr.Button(value="Run V3D")
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min_guidance_slider,
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max_guidance_slider,
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decoding_t_slider,
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+
seed_input,
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],
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outputs=[output_video],
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)
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+
def _(image, border_ratio, min_guidance, max_guidance, decoding_t, seed):
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model.sampler.guider.max_scale = max_guidance
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model.sampler.guider.min_scale = min_guidance
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return do_sample(
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border_ratio,
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False,
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output_folder,
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+
seed,
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)
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