SolitaryThinker
bbbb7ab021
Move all examples/inference and scripts off the legacy
VideoGenerator.from_pretrained(model, **kwargs) +
generate_video(prompt, **kwargs) surface onto the typed
from_config(GeneratorConfig(...)) + generate(GenerationRequest(...))
convention, including the Kandinsky-5 and DreamX-World examples added
on main after the original migration. git-mv api/compat.py to
api/translation.py ('compat' implied a temporary shim; the forward
translation is its honest permanent role) and repoint all importers,
tests, and doc links.
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
from fastvideo import VideoGenerator
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from fastvideo.api import (EngineConfig, GenerationRequest, GeneratorConfig,
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InputConfig, OffloadConfig, OutputConfig,
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SamplingConfig)
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OUTPUT_PATH = "video_samples_kandinsky5_i2v"
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IMAGE_PATH = "assets/girl.png"
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def main():
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generator = VideoGenerator.from_config(
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GeneratorConfig(
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model_path="kandinskylab/Kandinsky-5.0-I2V-Pro-distilled-5s-Diffusers",
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# "kandinskylab/Kandinsky-5.0-I2V-Pro-sft-5s-Diffusers"
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# "kandinskylab/Kandinsky-5.0-I2V-Lite-5s-Diffusers"
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engine=EngineConfig(
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num_gpus=1,
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use_fsdp_inference=False,
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offload=OffloadConfig(
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dit=False,
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vae=False,
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text_encoder=True,
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pin_cpu_memory=True,
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# image_encoder=False,
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),
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),
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))
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prompt = (
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"A woman stands up and walks away"
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)
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_ = generator.generate(
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GenerationRequest(
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prompt=prompt,
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inputs=InputConfig(image_path=IMAGE_PATH),
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sampling=SamplingConfig(height=1024, width=1024, num_frames=121),
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output=OutputConfig(output_path=OUTPUT_PATH, save_video=True),
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))
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if __name__ == "__main__":
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main()
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