Instructions to use igorriti/flux-360 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorriti/flux-360 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("igorriti/flux-360") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d4658f963b310394e7d66c2ac93672c03fd26c71d131422757c79a7a5738252d
- Size of remote file:
- 7.09 MB
- SHA256:
- b8d69abc8c408a9cc7f716f6da0416158e8aa6d561aa8c727eba9ac90f0ebb21
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