from fastvideo import VideoGenerator from fastvideo.api import ( EngineConfig, GenerationRequest, GeneratorConfig, InputConfig, OffloadConfig, OutputConfig, SamplingConfig, ) OUTPUT_PATH = "video_samples_wan2_2_14B_i2v" def main(): # FastVideo will automatically use the optimal default arguments for the # model. # If a local path is provided, FastVideo will make a best effort # attempt to identify the optimal arguments. generator = VideoGenerator.from_config( GeneratorConfig( model_path="Wan-AI/Wan2.2-I2V-A14B-Diffusers", # FastVideo will automatically handle distributed setup engine=EngineConfig( num_gpus=1, use_fsdp_inference=False, # set to True if GPU is out of memory offload=OffloadConfig( dit=True, # DiT need to be offloaded for MoE vae=False, text_encoder=True, # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer pin_cpu_memory=True, # image_encoder=False, ), ), ) ) 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." image_path = "https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG" video = generator.generate( GenerationRequest( prompt=prompt, inputs=InputConfig(image_path=image_path), sampling=SamplingConfig(height=832, width=480, num_frames=81), output=OutputConfig(output_path=OUTPUT_PATH, save_video=True), ) ) if __name__ == "__main__": main()