Instructions to use jimmycarter/LibreFLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jimmycarter/LibreFLUX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jimmycarter/LibreFLUX", 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
- Draw Things
- DiffusionBee
will there be an FP8 version later?
#6
by ZealotTt - opened
This is a very good project, thank you for your efforts!
will there be a distilled FP8 version model in the later stage?
The model can be loaded in FP8 or int8 using quanto, as mentioned in the inference section of README.md. There is a Q5 quantized community model. I personally won't be doing GGUF versions, but if someone else wants to convert them I would welcome it.