Instructions to use X-GenGroup/PaCo-FLUX.1-dev-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use X-GenGroup/PaCo-FLUX.1-dev-Lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("X-GenGroup/PaCo-FLUX.1-dev-Lora", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Update README.md
Verified signature7839aa3 -
Update README.md
Verified signatureebf9547 -
Upload joker_posters.png
Verified signature1c684b3 -
Add model card with metadata and links (#1)
Verified signature- Add model card with metadata and links (68a39b1483baa38bf209d669077130449c74a6b6) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>d746118
-
Upload folder using huggingface_hub
Verified signatured6d9e0c -
Upload folder using huggingface_hub
Verified signature25c0353 -
initial commit
Verified signature53ffbea