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
53 lines
2.2 KiB
Python
53 lines
2.2 KiB
Python
from fastvideo import VideoGenerator
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OUTPUT_PATH = "video_samples"
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def main():
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# FastVideo will automatically use the optimal default arguments for the
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# model.
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# If a local path is provided, FastVideo will make a best effort
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# attempt to identify the optimal arguments.
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generator = VideoGenerator.from_pretrained(
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"Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
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# FastVideo will automatically handle distributed setup
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num_gpus=1,
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use_fsdp_inference=False, # set to True if GPU is out of memory
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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, # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
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# image_encoder_cpu_offload=False,
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)
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# Generate videos with the same simple API, regardless of GPU count
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prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
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"wide with interest. The playful yet serene atmosphere is complemented by soft "
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"natural light filtering through the petals. Mid-shot, warm and cheerful tones.")
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video = generator.generate({
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"prompt": prompt,
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"output": {"output_path": OUTPUT_PATH, "save_video": True},
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})
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# video = generator.generate({
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# "prompt": prompt,
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# "inputs": {"image_path": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg"},
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# "sampling": {"num_frames": 45},
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# "output": {"output_path": "wan_t2v_videos/"},
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# })
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# Generate another video with a different prompt, without reloading the
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# model!
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prompt2 = ("A majestic lion strides across the golden savanna, its powerful frame "
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"glistening under the warm afternoon sun. The tall grass ripples gently in "
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"the breeze, enhancing the lion's commanding presence. The tone is vibrant, "
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"embodying the raw energy of the wild. Low angle, steady tracking shot, "
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"cinematic.")
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video2 = generator.generate({
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"prompt": prompt2,
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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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