Instructions to use Muapi/fluxbokeh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fluxbokeh 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/fluxbokeh") 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:
- cb4ea9bbbc8dca5a837547c478c54d5ad64eb766cf7d8b7973efee87b37d44be
- Size of remote file:
- 165 kB
- SHA256:
- aea93c595d9aaec53de3f941786b549229c5d25fe9a9d5728c030fd20d0a7150
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