from fastvideo import VideoGenerator from fastvideo.api.sampling_param import SamplingParam def main(): # Point this to your local diffusers model dir (or replace with a HF model ID). model_path = "KyleShao/Cosmos-Predict2.5-2B-Diffusers" generator = VideoGenerator.from_pretrained( model_path, num_gpus=1, use_fsdp_inference=False, # set True if GPU is out of memory dit_cpu_offload=False, vae_cpu_offload=False, text_encoder_cpu_offload=True, pin_cpu_memory=True, ) # Load default sampling parameters (negative_prompt, resolution, steps, etc.) sampling_param = SamplingParam.from_pretrained(model_path) prompt = ( "A high-definition video captures the precision of robotic welding in an industrial setting. " "The first frame showcases a robotic arm, equipped with a welding torch, positioned over a large metal structure. " "The welding process is in full swing, with bright sparks and intense light illuminating the scene, " "creating a vivid display of blue and white hues. " "A significant amount of smoke billows around the welding area, partially obscuring the view but emphasizing the heat and activity. " "The background reveals parts of the workshop environment, including a ventilation system and various pieces of machinery, " "indicating a busy and functional industrial workspace. " "As the video progresses, the robotic arm maintains its steady position, continuing the welding process and moving to its left. " "The welding torch consistently emits sparks and light, and the smoke continues to rise, diffusing slightly as it moves upward. " "The metal surface beneath the torch shows ongoing signs of heating and melting. " "The scene retains its industrial ambiance, with the welding sparks and smoke dominating the visual field, " "underscoring the ongoing nature of the welding operation.") generator.generate_video( prompt, sampling_param=sampling_param, output_path="outputs_video/cosmos2_5_t2w.mp4", save_video=True, ) generator.shutdown() if __name__ == "__main__": main()