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
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import os
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import time
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from fastvideo import VideoGenerator
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OUTPUT_PATH = "video_samples_causal"
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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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model_name = "wlsaidhi/SFWan2.1-T2V-1.3B-Diffusers"
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generator = VideoGenerator.from_pretrained(
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model_name,
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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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text_encoder_cpu_offload=False,
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dit_cpu_offload=False,
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)
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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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if __name__ == "__main__":
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main()
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