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hao-ai-lab-FastVideo/examples/inference/basic/basic_matrixgame3.py
T
SolitaryThinker bbbb7ab021 [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.
2026-07-11 03:26:24 -07:00

49 lines
1.4 KiB
Python

from fastvideo import VideoGenerator
from fastvideo.api import (
EngineConfig, GenerationRequest, GeneratorConfig, InputConfig, OffloadConfig, OutputConfig, SamplingConfig,
)
MODEL_PATH = "FastVideo/Matrix-Game-3.0-Base-Distilled-Diffusers"
IMAGE_URL = "https://raw.githubusercontent.com/SkyworkAI/Matrix-Game/main/Matrix-Game-3/demo_images/001/image.png"
PROMPT = "A colorful, animated cityscape with a gas station and various buildings."
OUTPUT_PATH = "video_samples_matrixgame3"
def main():
generator = VideoGenerator.from_config(
GeneratorConfig(
model_path=MODEL_PATH,
engine=EngineConfig(
num_gpus=1,
use_fsdp_inference=False,
offload=OffloadConfig(
dit=False,
vae=False,
text_encoder=True,
pin_cpu_memory=True,
),
),
))
generator.generate(
GenerationRequest(
prompt=PROMPT,
inputs=InputConfig(image_path=IMAGE_URL),
sampling=SamplingConfig(
height=720,
width=1280,
num_frames=57,
num_inference_steps=3,
guidance_scale=1.0,
seed=42,
),
output=OutputConfig(
output_path=OUTPUT_PATH,
save_video=True,
),
))
if __name__ == "__main__":
main()