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.
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
import os
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import time
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from fastvideo import VideoGenerator
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from fastvideo.api import (
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EngineConfig,
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GenerationRequest,
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GeneratorConfig,
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OffloadConfig,
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OutputConfig,
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)
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OUTPUT_PATH = "video_samples_causal"
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def main():
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# FastVideo will automatically use the optimal default arguments for the
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# model.
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# If a local path is provided, FastVideo will make a best effort
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# attempt to identify the optimal arguments.
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model_name = "wlsaidhi/SFWan2.1-T2V-1.3B-Diffusers"
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generator_config = GeneratorConfig(
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model_path=model_name,
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# FastVideo will automatically handle distributed setup
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engine=EngineConfig(
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num_gpus=1,
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use_fsdp_inference=False, # set to True if GPU is out of memory
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offload=OffloadConfig(
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text_encoder=False,
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dit=False,
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),
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),
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)
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generator = VideoGenerator.from_config(generator_config)
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prompt = (
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"A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
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"wide with interest. The playful yet serene atmosphere is complemented by soft "
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"natural light filtering through the petals. Mid-shot, warm and cheerful tones."
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)
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request = GenerationRequest(
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prompt=prompt,
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output=OutputConfig(
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output_path=OUTPUT_PATH,
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save_video=True,
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),
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)
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video = generator.generate(request)
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if __name__ == "__main__":
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main()
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