Instructions to use B4100/sidea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/sidea with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diroverflo/FLux_Klein_9B_NSFW", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/sidea") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 779395cba0fa6b3bf1d246e9bf62393057e3c1721fb4920eafd15c008ba1b6c7
- Size of remote file:
- 166 MB
- SHA256:
- 985496f2cac79470769075a48b6a9bea89066c048ee327a0c31ad37a27c9adac
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