Instructions to use Muapi/fluffyfluxxy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fluffyfluxxy 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/fluffyfluxxy") 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:
- bae33e641a5d99a251df566fc20547f743540738bf8f95c3a3d53771b4866753
- Size of remote file:
- 454 kB
- SHA256:
- 6764c47cf45bb2b9125e650c8893c9007a492b9c42c25873d71512866bc97583
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