Instructions to use B4100/finger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/finger with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/finger") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d2c2c776259da0ade24604eeef23cac0f4b4d0fe8248647b30286231a41504c8
- Size of remote file:
- 307 MB
- SHA256:
- a9578c2125ce5b5cb5008e067da54fc6fae1fd2e9f14dccff7428d23935caa11
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