from fastvideo import VideoGenerator 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, { "engine": { "num_gpus": 1, "use_fsdp_inference": False, # set True if GPU is out of memory "offload": { "dit": False, "vae": False, "text_encoder": True, "pin_cpu_memory": True, }, }, }, ) 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({ "prompt": prompt, "output": {"output_path": "outputs_video/cosmos2_5_t2w.mp4", "save_video": True}, }) generator.shutdown() if __name__ == "__main__": main()