Instructions to use Muapi/fluxrimlight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fluxrimlight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/fluxrimlight") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 8c3757d8120ef92284aed4b0e781c9e58f3ae6b59444666b7d34ec5e6b9e097c
- Size of remote file:
- 456 kB
- SHA256:
- 6f23e0ad313c564a2fc47efc44803ba9affc5ebf03b4a767167b9eabc20243fb
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