| import torch | |
| import numpy as np | |
| from diffusers import WanPipeline, AutoencoderKLWan, WanTransformer3DModel, UniPCMultistepScheduler | |
| from diffusers.utils import export_to_video, load_image | |
| dtype = torch.bfloat16 | |
| device = "cuda" | |
| model_id = "/mnt/bn/yufan-dev-my/ysh/Ckpts/Wan-AI/Wan2.2-TI2V-5B-Diffusers" | |
| vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32) | |
| pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=dtype) | |
| pipe.to(device) | |
| height = 704 | |
| width = 1280 | |
| num_frames = 121 | |
| num_inference_steps = 50 | |
| guidance_scale = 5.0 | |
| prompt = "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage." | |
| negative_prompt = "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走" | |
| output = pipe( | |
| prompt=prompt, | |
| negative_prompt=negative_prompt, | |
| height=height, | |
| width=width, | |
| num_frames=num_frames, | |
| guidance_scale=guidance_scale, | |
| num_inference_steps=num_inference_steps, | |
| ).frames[0] | |
| export_to_video(output, "5bit2v_output.mp4", fps=24) | |