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An old book illustration of a to trigger the image generation.pip install git+https://github.com/huggingface/diffusers.git1import torch
2from diffusers.utils import export_to_video
3from diffusers import AutoencoderKLWan, WanPipeline
4from diffusers.schedulers.scheduling_unipc_multistep import UniPCMultistepScheduler
5
6model_id = "Wan-AI/Wan2.1-T2V-14B-Diffusers"
7vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
8pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
9pipe.scheduler = UniPCMultistepScheduler.from_config(
10 pipe.scheduler.config,
11 flow_shift=5.0
12)
13pipe.to("cuda")
14pipe.load_lora_weights("AdamLucek/Wan2.1-T2V-14B-OldBookIllustrations")
15pipe.enable_model_cpu_offload() # for low-vram environments
16
17prompt = "An old book illustration of a dog walking down a path"
18negative_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"
19output = pipe(
20 prompt=prompt,
21 negative_prompt=negative_prompt,
22 height=720,
23 width=1280,
24 num_frames=81,
25 guidance_scale=5.0,
26 num_inference_steps=32
27).frames[0]
28export_to_video(output, "output.mp4", fps=16)wget https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors
wget https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors
wget https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_bf16.safetensors