Instructions to use Locolabs/Flux-SeriesX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Locolabs/Flux-SeriesX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Locolabs/Flux-SeriesX", 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
Fine-tuned based on the flux.dev model, the FP8 quantized version is more suitable for certain Asian-focused models, If the picture is not good, please add the guide words: MUCHEN+ARang
offering a film-like grain effect. Developed by Muchen and ARang. When using this model, please comply with the terms of Black Forest Labs. Special thanks to https://www.houdeyun.cn/ for providing GPU computing power support. Contact us:
Discord:https://discord.gg/YtmN6yWUpb EMAIL:ulook@vip.qq.com

- Downloads last month
- 10
Model tree for Locolabs/Flux-SeriesX
Base model
black-forest-labs/FLUX.1-dev