import os import time from fastvideo import VideoGenerator from fastvideo.configs.sample import SamplingParam OUTPUT_PATH = "video_samples_dmd2" def main(): os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "VIDEO_SPARSE_ATTN" load_start_time = time.perf_counter() model_name = "FastVideo/FastWan2.1-T2V-1.3B-Diffusers" generator = VideoGenerator.from_pretrained( model_name, # FastVideo will automatically handle distributed setup num_gpus=1, use_fsdp_inference=True, # Adjust these offload parameters if you have < 32GB of VRAM text_encoder_cpu_offload=False, dit_cpu_offload=False, vae_cpu_offload=False, VSA_sparsity=0.8, ) load_end_time = time.perf_counter() load_time = load_end_time - load_start_time sampling_param = SamplingParam.from_pretrained(model_name) 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." ) start_time = time.perf_counter() video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, sampling_param=sampling_param) end_time = time.perf_counter() gen_time = end_time - start_time # Generate another video with a different prompt, without reloading the # model! 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.") start_time = time.perf_counter() video2 = generator.generate_video(prompt2, output_path=OUTPUT_PATH, save_video=True) end_time = time.perf_counter() gen_time2 = end_time - start_time print(f"Time taken to load model: {load_time} seconds") print(f"Time taken to generate video: {gen_time} seconds") print(f"Time taken to generate video2: {gen_time2} seconds") if __name__ == "__main__": main()