Instructions to use joyfox/Wan2.1-BulletTime-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joyfox/Wan2.1-BulletTime-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("joyfox/Wan2.1-BulletTime-LoRA") prompt = "rw360xz, 人物定在空中,相机视角围绕人物向一个方向旋转" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- bd373dc6f86363c0a0fd29f5563f90c98c950ef4e966834cf6340d102cf56a73
- Size of remote file:
- 726 kB
- SHA256:
- 9d07dde2dca398c237b961d9066bce10990d8d89604c2a5abfd4c4b2230c9cc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.