from fastvideo import VideoGenerator from fastvideo.api import ( EngineConfig, GenerationRequest, GeneratorConfig, OffloadConfig, OutputConfig, SamplingConfig, ) import json OUTPUT_PATH = "video_samples_hy15" 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="hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v", # 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, vae=True, text_encoder=True, pin_cpu_memory=True, # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument" # image_encoder=False, ), ), )) prompt = ( "A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes " "wide with interest. The playful yet serene atmosphere is complemented by soft " "natural light filtering through the petals. Mid-shot, warm and cheerful tones." ) generator.generate(GenerationRequest( prompt=prompt, negative_prompt="", sampling=SamplingConfig(num_frames=81, fps=16), output=OutputConfig(output_path=OUTPUT_PATH, save_video=True), )) prompt2 = ( "A majestic lion strides across the golden savanna, its powerful frame " "glistening under the warm afternoon sun. The tall grass ripples gently in " "the breeze, enhancing the lion's commanding presence. The tone is vibrant, " "embodying the raw energy of the wild. Low angle, steady tracking shot, " "cinematic.") generator.generate(GenerationRequest( prompt=prompt2, negative_prompt="", sampling=SamplingConfig(num_frames=81, fps=16), output=OutputConfig(output_path=OUTPUT_PATH, save_video=True), )) if __name__ == "__main__": main()