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:
- c25b71cca96d62364eda314f5bbd4fd18d1931b49708f0801eff13c000d9966d
- Size of remote file:
- 2.46 MB
- SHA256:
- 74472b5c5a4635f6c5933e63d213df011fc49bde3c078166227945ba204a1359
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