Instructions to use blurgy/CoMPaSS-FLUX.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use blurgy/CoMPaSS-FLUX.1 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("blurgy/CoMPaSS-FLUX.1") prompt = "a photo of a laptop above a dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b17708f676f16c692237452df2a29090f8dae9837d96f3d1b0809d0ea4b49dcc
- Size of remote file:
- 52.7 MB
- SHA256:
- e3c24b97a7264155ce2c1d016dedefd75ad6b2d4d4ce67ba7fbe3cfed8562095
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