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:
- 66244f268930f6dad9c4acc5622eec2adf7558b4aff0d95f78a7552bcbe4a9f0
- Size of remote file:
- 307 MB
- SHA256:
- 32949712cb6c22710a33d3e358eabbdceb5335080e2f87ba8ead5d810fe06ca4
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