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", 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:
- 198907d4cd3062d5ec74856d81e7b5f26aedfc5d72b0fe34ddc6dfd1eaf841dd
- Size of remote file:
- 359 MB
- SHA256:
- 62b08da970d427899ca322ccf20c82092aa7d92a41b67be13161a2b05f064f69
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