Instructions to use joyfox/Wan2.1-Mecha-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joyfox/Wan2.1-Mecha-LoRA 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-720P,Wan-AI/Wan2.1-I2V-14B-720P-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("joyfox/Wan2.1-Mecha-LoRA") prompt = "gangtiexia,背景保持不变,这个人开始变身白色机甲,变身过程中出现机甲面罩遮住脸部,变身完成之后这个人向前走" 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
- Draw Things
- Xet hash:
- 3db4987a3d9ce078f4678a75060274b3cdb97d66d7bb9071b0bcc2f5ee6bea24
- Size of remote file:
- 4.53 MB
- SHA256:
- 637445ed56aa8121b507bc19a87d306f7d4f14ed20d2907279a59858de595c4b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.