Instructions to use B4100/fng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/fng with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/fng") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 7e8ea85ff95e63745075ffe374c1d1f71b21a4564901c7ac6ac8f716830aff64
- Size of remote file:
- 9.91 MB
- SHA256:
- d2f00748c776776373435fc526036d7455fc49cb9700c2e1981e97221f878903
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