Instructions to use XLabs-AI/flux-controlnet-collections with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-controlnet-collections with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-controlnet-collections", 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
Lineart ControlNet in the collection?
#16
by zouzoumaki - opened
Hello XLabs-AI team,
First, I want to thank you for your excellent work on the flux-controlnet-collections project. It's been incredibly useful for the community!
There are any plans to include a Lineart ControlNet model in your roadmap for flux-controlnet-collections?
Such a model would significantly enhance the capabilities of the collection and provide better results for users who need to maintain the integrity of their line drawings during generation