[refactor]: migrate examples/scripts to typed VideoGenerator API; rename api/compat.py to api/translation.py
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.
This commit is contained in:
@@ -22,6 +22,10 @@ sharing, or run on a smaller-resolution generation.
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import torch
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from fastvideo import VideoGenerator
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from fastvideo.api import (
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EngineConfig, GenerationRequest, GeneratorConfig, OutputConfig,
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SamplingConfig,
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)
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from fastvideo.eval import Evaluator
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from fastvideo.eval.io import build_eval_kwargs
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@@ -58,19 +62,20 @@ METRICS = [
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def main() -> None:
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# ----- generation (matches examples/inference/basic/basic_ltx2.py) -----
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generator = VideoGenerator.from_pretrained(
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"Davids048/LTX2-Base-Diffusers",
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num_gpus=1,
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generator = VideoGenerator.from_config(
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GeneratorConfig(
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model_path="Davids048/LTX2-Base-Diffusers",
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engine=EngineConfig(num_gpus=1),
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)
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)
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output_path = "outputs_video/ltx2_basic/output_ltx2_base_t2v_1088_1920_1.1.mp4"
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generator.generate_video(
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prompt=PROMPT,
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output_path=output_path,
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save_video=True,
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num_frames=121,
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height=1088,
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width=1920,
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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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sampling=SamplingConfig(num_frames=121, height=1088, width=1920),
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)
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)
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generator.shutdown()
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# Free residual CUDA memory the generator left behind so the
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