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.
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
from fastvideo import VideoGenerator
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from fastvideo.api import EngineConfig, GenerationRequest, GeneratorConfig, OutputConfig
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PROMPT = (
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"A warm sunny backyard. The camera starts in a tight cinematic close-up "
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"of a woman and a man in their 30s, facing each other with serious "
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"expressions. The woman, emotional and dramatic, says softly, \"That's "
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"it... Dad's lost it. And we've lost Dad.\" The man exhales, slightly "
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"annoyed: \"Stop being so dramatic, Jess.\" A beat. He glances aside, "
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"then mutters defensively, \"He's just having fun.\" The camera slowly "
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"pans right, revealing the grandfather in the garden wearing enormous "
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"butterfly wings, waving his arms in the air like he's trying to take "
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"off. He shouts, \"Wheeeew!\" as he flaps his wings with full commitment. "
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"The woman covers her face, on the verge of tears. The tone is deadpan, "
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"absurd, and quietly tragic."
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)
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import os
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os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "FLASH_ATTN"
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def main() -> None:
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generator = VideoGenerator.from_config(
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GeneratorConfig(
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model_path="FastVideo/LTX2-Distilled-Diffusers",
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engine=EngineConfig(num_gpus=4),
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)
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)
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output_path = "outputs_video/ltx2_basic/output_ltx2_distilled_t2v.mp4"
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generator.generate(
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GenerationRequest(
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prompt=PROMPT,
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output=OutputConfig(output_path=output_path, save_video=True),
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)
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)
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generator.shutdown()
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if __name__ == "__main__":
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main()
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