Instructions to use gianrp6/androflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gianrp6/androflux 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("gianrp6/androflux") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 4c17d265efede8b192ce8dda780771f78bc796743211395e56d17d8cfd458cdd
- Size of remote file:
- 716 kB
- SHA256:
- 036e5bb969757056479a17567afa2ad75ea85a031515696a20a226b2f3fda0c2
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