Spaces:
Running
on
Zero
Running
on
Zero
Update
Browse files- app.py +26 -25
- requirements.txt +7 -7
app.py
CHANGED
@@ -52,6 +52,7 @@ def generate(
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seed: int,
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num_frames: int,
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num_inference_steps: int,
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) -> str:
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generator = torch.Generator().manual_seed(seed)
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frames = pipe(
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@@ -78,7 +79,7 @@ with gr.Blocks(css="style.css") as demo:
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elem_id="duplicate-button",
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visible=os.getenv("SHOW_DUPLICATE_BUTTON") == "1",
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)
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with gr.
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with gr.Row():
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prompt = gr.Text(
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label="Prompt",
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@@ -89,30 +90,30 @@ with gr.Blocks(css="style.css") as demo:
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)
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run_button = gr.Button("Generate video", scale=0)
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result = gr.Video(label="Result", show_label=False)
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inputs = [
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prompt,
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seed: int,
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num_frames: int,
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num_inference_steps: int,
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progress=gr.Progress(track_tqdm=True),
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) -> str:
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generator = torch.Generator().manual_seed(seed)
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frames = pipe(
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elem_id="duplicate-button",
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visible=os.getenv("SHOW_DUPLICATE_BUTTON") == "1",
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)
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with gr.Group():
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with gr.Row():
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prompt = gr.Text(
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label="Prompt",
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)
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run_button = gr.Button("Generate video", scale=0)
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result = gr.Video(label="Result", show_label=False)
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with gr.Accordion("Advanced options", open=False):
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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num_frames = gr.Slider(
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label="Number of frames",
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minimum=24,
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maximum=MAX_NUM_FRAMES,
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step=1,
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value=24,
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info="Note that the content of the video also changes when you change the number of frames.",
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)
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num_inference_steps = gr.Slider(
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label="Number of inference steps",
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minimum=10,
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maximum=50,
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step=1,
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value=25,
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)
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inputs = [
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prompt,
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requirements.txt
CHANGED
@@ -1,9 +1,9 @@
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accelerate==0.
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diffusers==0.
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gradio==
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huggingface-hub==0.
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imageio[ffmpeg]==2.
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spaces==0.
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torch==2.0.0
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torchvision==0.15.1
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transformers==4.
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accelerate==0.25.0
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diffusers==0.24.0
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gradio==4.8.0
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huggingface-hub==0.19.4
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imageio[ffmpeg]==2.33.1
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spaces==0.18.0
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torch==2.0.0
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torchvision==0.15.1
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transformers==4.36.0
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