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.
81 lines
3.7 KiB
Python
81 lines
3.7 KiB
Python
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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DEFAULT_PROMPT = 'A paved pathway leads towards a stone arch bridge spanning a calm body of water. Lush green trees and foliage line the path and the far bank of the water. A traditional-style pavilion with a tiered, reddish-brown roof sits on the far shore. The water reflects the surrounding greenery and the sky. The scene is bathed in soft, natural light, creating a tranquil and serene atmosphere. The pathway is composed of large, rectangular stones, and the bridge is constructed of light gray stone. The overall composition emphasizes the peaceful and harmonious nature of the landscape.'
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DEFAULT_IMAGE = 'https://raw.githubusercontent.com/Tencent-Hunyuan/HY-WorldPlay/main/assets/img/test.png'
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OUTPUT_PATH = "video_samples_hyworld"
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def main():
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import argparse
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# pose: (a, w, s, d) - (15, 31)
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# num_frames: (61, 125)
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parser = argparse.ArgumentParser(description="HYWorld video generation with FastVideo")
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parser.add_argument("--prompt", type=str, default=DEFAULT_PROMPT, help="Text prompt for video generation")
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parser.add_argument("--image", type=str, default=DEFAULT_IMAGE, help="Path or URL to input image")
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parser.add_argument("--pose", type=str, default='w-31', help="Pose string (e.g., 'a-31', 'w-31', 's-31', 'd-31')")
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parser.add_argument("--output_path", type=str, default=OUTPUT_PATH, help="Output video path")
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parser.add_argument("--num-frames", type=int, default=125, help="Number of frames")
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parser.add_argument("--seed", type=int, default=1, help="Random seed")
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parser.add_argument("--resolution", type=str, default="480p", help="Only support 480p for now")
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args = parser.parse_args()
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# Automatically determine resolution from input image
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HEIGHT, WIDTH = get_resolution_from_image(args.image, args.resolution)
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print(f"Image: {args.image}")
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print(f"Pose: {args.pose}")
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print(f"Resolution: {HEIGHT}x{WIDTH} (from {args.resolution} buckets)")
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print(f"Num frames: {args.num_frames}")
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print(f"Output path: {args.output_path}")
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# Initialize generator
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print("\nInitializing VideoGenerator for HYWorld...")
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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(
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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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if __name__ == "__main__":
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main()
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