Instructions to use minpeter/FLUX-juaner-ghibli-v2-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minpeter/FLUX-juaner-ghibli-v2-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("minpeter/FLUX-juaner-ghibli-v2-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "a elephant." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- b580b623058742352daf9fedc0568b7c4b98a15965525f536704b315f260c49a
- Size of remote file:
- 1.43 MB
- SHA256:
- dcf8920c090a84795d3c13f807e0e51f574dbcad4632dfec5b7b5c211325ff26
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.