Davids048andClaude Opus 5.5
f571621ae7
Every example calls VideoGenerator.generate with a nested request instead of generate_video keywords, and passes settings outside the from_pretrained convenience keywords through VideoGenerator.from_config at their typed paths. Each request and generator config equals what the keyword call built. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
from fastvideo import VideoGenerator
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MODEL_PATH = "FastVideo/Matrix-Game-3.0-Base-Distilled-Diffusers"
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IMAGE_URL = "https://raw.githubusercontent.com/SkyworkAI/Matrix-Game/main/Matrix-Game-3/demo_images/001/image.png"
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PROMPT = "A colorful, animated cityscape with a gas station and various buildings."
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OUTPUT_PATH = "video_samples_matrixgame3"
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def main():
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generator = VideoGenerator.from_pretrained(
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MODEL_PATH,
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num_gpus=1,
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use_fsdp_inference=False,
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dit_cpu_offload=False,
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vae_cpu_offload=False,
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text_encoder_cpu_offload=True,
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pin_cpu_memory=True,
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)
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generator.generate({
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"prompt": PROMPT,
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"inputs": {"image_path": IMAGE_URL},
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"sampling": {
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"height": 720,
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"width": 1280,
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"num_frames": 57,
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"num_inference_steps": 3,
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"guidance_scale": 1.0,
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"seed": 42,
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},
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"output": {"output_path": OUTPUT_PATH, "save_video": True},
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})
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if __name__ == "__main__":
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main()
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