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
57 lines
2.5 KiB
Python
57 lines
2.5 KiB
Python
from fastvideo import VideoGenerator
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import argparse
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OUTPUT_PATH = "video_samples_wan2_2_5B_ti2v"
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def main(text_encoder_path: str):
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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 = "Wan-AI/Wan2.2-TI2V-5B-Diffusers"
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generator = VideoGenerator.from_config({
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"model_path": model_name,
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"engine": {
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# FastVideo will automatically handle distributed setup
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"num_gpus": 1,
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"use_fsdp_inference": True,
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"offload": {
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"dit": True,
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"vae": False,
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"text_encoder": False,
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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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},
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# AbsMaxFP8 is the quantization method used by ComfyUI;
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# check fastvideo/layers/quantization/* for more quantization methods
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"quantization": {"text_encoder_quant": "AbsMaxFP8"},
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},
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"pipeline": {
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"components": {
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# for Wan 2.2, this is the path to "umt5_xxl_fp8_e4m3fn_scaled.safetensors"
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"text_encoder_weights": text_encoder_path,
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},
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},
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})
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# I2V is triggered just by passing in an image_path argument
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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": {"image_path": image_path},
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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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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--text_encoder_path",
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type=str,
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required=True,
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help="Path to the quantized text encoder safetensors file.",
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)
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args = parser.parse_args()
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main(args.text_encoder_path)
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