Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
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@@ -635,32 +635,44 @@ def on_highres_toggle(first_image, last_image, high_res):
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return gr.update(value=w), gr.update(value=h)
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def
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first_image,
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last_image,
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prompt: str,
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negative_prompt: str,
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duration: float,
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seed: int,
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randomize_seed: bool,
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height: int,
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width: int,
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enhance_prompt: bool,
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video_cfg_scale: float,
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video_stg_scale: float,
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video_rescale_scale: float,
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video_a2v_scale: float,
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audio_cfg_scale: float,
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audio_stg_scale: float,
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audio_rescale_scale: float,
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audio_v2a_scale: float,
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gpu_duration: float,
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progress=None,
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) -> int:
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return int(gpu_duration)
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@spaces.GPU(duration=
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@torch.inference_mode()
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def generate_video(
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first_image,
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@@ -668,19 +680,32 @@ def generate_video(
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prompt: str,
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negative_prompt: str,
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duration: float,
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video_cfg_scale: float,
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video_stg_scale: float,
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video_rescale_scale: float,
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video_a2v_scale: float,
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audio_cfg_scale: float,
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audio_stg_scale: float,
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audio_rescale_scale: float,
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audio_v2a_scale: float,
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progress=gr.Progress(track_tqdm=True),
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):
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try:
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return gr.update(value=w), gr.update(value=h)
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def get_gpu_duration(
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first_image,
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last_image,
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prompt: str,
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negative_prompt: str,
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duration: float,
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gpu_duration: float,
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enhance_prompt: bool = True,
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randomize_seed: bool = True,
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height: int = 1024,
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width: int = 1536,
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video_cfg_scale: float = 1.0,
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video_stg_scale: float = 0.0,
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video_rescale_scale: float = 0.45,
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video_a2v_scale: float = 3.0,
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audio_cfg_scale: float = 1.0,
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audio_stg_scale: float = 0.0,
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audio_rescale_scale: float = 1.0,
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audio_v2a_scale: float = 3.0,
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distilled_strength: float = 0.0,
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pose_strength: float = 0.0,
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general_strength: float = 0.0,
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motion_strength: float = 0.0,
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dreamlay_strength: float = 0.0,
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mself_strength: float = 0.0,
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dramatic_strength: float = 0.0,
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fluid_strength: float = 0.0,
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liquid_strength: float = 0.0,
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demopose_strength: float = 0.0,
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voice_strength: float = 0.0,
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realism_strength: float = 0.0,
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transition_strength: float = 0.0,
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progress=None,
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) -> int:
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return int(gpu_duration)
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@spaces.GPU(duration=get_gpu_duration)
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@torch.inference_mode()
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def generate_video(
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first_image,
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prompt: str,
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negative_prompt: str,
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duration: float,
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gpu_duration: float,
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enhance_prompt: bool = True,
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randomize_seed: bool = True,
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height: int = 1024,
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width: int = 1536,
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video_cfg_scale: float = 1.0,
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video_stg_scale: float = 0.0,
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video_rescale_scale: float = 0.45,
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video_a2v_scale: float = 3.0,
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audio_cfg_scale: float = 1.0,
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audio_stg_scale: float = 0.0,
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audio_rescale_scale: float = 1.0,
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audio_v2a_scale: float = 3.0,
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distilled_strength: float = 0.0,
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pose_strength: float = 0.0,
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general_strength: float = 0.0,
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motion_strength: float = 0.0,
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dreamlay_strength: float = 0.0,
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mself_strength: float = 0.0,
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dramatic_strength: float = 0.0,
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fluid_strength: float = 0.0,
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liquid_strength: float = 0.0,
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demopose_strength: float = 0.0,
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voice_strength: float = 0.0,
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realism_strength: float = 0.0,
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transition_strength: float = 0.0,
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progress=gr.Progress(track_tqdm=True),
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):
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try:
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