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
48 lines
1.9 KiB
Python
48 lines
1.9 KiB
Python
from fastvideo import VideoGenerator
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# from fastvideo.api.sampling_param import SamplingParam
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OUTPUT_PATH = "video_samples_wan2_2_14B_i2v"
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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/Wan2.2-I2V-A14B-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=True, # DiT need to be offloaded for MoE
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vae_cpu_offload=False,
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text_encoder_cpu_offload=True,
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# Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
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pin_cpu_memory=True,
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# image_encoder_cpu_offload=False,
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)
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prompt = "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside."
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image_path = "https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG"
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video = generator.generate({
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"prompt": prompt,
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"inputs": {
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"image_path": image_path,
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},
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"sampling": {
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"height": 832,
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"width": 480,
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"num_frames": 81,
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},
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"output": {
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"output_path": OUTPUT_PATH,
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"save_video": True,
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},
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})
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if __name__ == "__main__":
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main()
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