Instructions to use lvfengchun/wan21_i2v_boiling_point with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lvfengchun/wan21_i2v_boiling_point with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lvfengchun/wan21_i2v_boiling_point") prompt = "p3n91,鼻孔和耳朵冒出白烟,人物皱眉" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
wan21_i2v_boiling_point

- Prompt
- p3n91,鼻孔和耳朵冒出白烟,人物皱眉
- 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

- Prompt
- p3n91,鼻孔和耳朵冒出白烟,人物皱眉
- 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

- Prompt
- p3n91,鼻孔和耳朵冒出白烟,人物皱眉
- 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
Trigger words
You should use p3n91 to trigger the image generation.
You should use 鼻孔和耳朵冒出白烟 to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for lvfengchun/wan21_i2v_boiling_point
Base model
Wan-AI/Wan2.1-I2V-14B-480P