[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.
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@@ -1,4 +1,6 @@
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from fastvideo import VideoGenerator
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from fastvideo.api import (EngineConfig, GenerationRequest, GeneratorConfig, InputConfig, OffloadConfig, OutputConfig,
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SamplingConfig)
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from fastvideo.models.dits.hyworld.resolution_utils import get_resolution_from_image
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# Default prompt from HY-WorldPlay run.sh
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@@ -31,33 +33,45 @@ def main():
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# Initialize generator
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print("\nInitializing VideoGenerator for HYWorld...")
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generator = VideoGenerator.from_pretrained(
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"FastVideo/HY-WorldPlay-Bidirectional-Diffusers",
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num_gpus=1,
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use_fsdp_inference=True,
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dit_cpu_offload=True,
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vae_cpu_offload=True,
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text_encoder_cpu_offload=True,
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pin_cpu_memory=True,
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image_encoder_cpu_offload=True,
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)
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generator = VideoGenerator.from_config(
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GeneratorConfig(
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model_path="FastVideo/HY-WorldPlay-Bidirectional-Diffusers",
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engine=EngineConfig(
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num_gpus=1,
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use_fsdp_inference=True,
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offload=OffloadConfig(
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dit=True,
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vae=True,
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text_encoder=True,
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pin_cpu_memory=True,
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image_encoder=True,
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),
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),
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))
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# Generate video
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# The pose string is automatically converted to camera matrices by the pipeline
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print("\nGenerating video...")
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generator.generate_video(
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prompt=args.prompt,
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image_path=args.image,
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pose=args.pose, # Camera trajectory control
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output_path=args.output_path,
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save_video=True,
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negative_prompt="",
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num_frames=args.num_frames,
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fps=24,
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height=HEIGHT,
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width=WIDTH,
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seed=args.seed,
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)
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generator.generate(
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GenerationRequest(
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prompt=args.prompt,
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negative_prompt="",
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inputs=InputConfig(
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image_path=args.image,
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pose=args.pose, # Camera trajectory control
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),
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sampling=SamplingConfig(
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num_frames=args.num_frames,
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fps=24,
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height=HEIGHT,
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width=WIDTH,
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seed=args.seed,
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),
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output=OutputConfig(
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output_path=args.output_path,
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save_video=True,
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),
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))
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print(f"\nVideo saved to: {args.output_path}")
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