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
Is it possible to use Canny and Depth simultaneously?
#11
by svetozarov - opened
There are many ways to use several ControlNet models in a single workflow in SDXL, either through separate nodes or by connecting conditions sequentially. Do you currently have only one model in a single workflow?
Multiple controlnet functions are urgently needed.
How to combine three controlnets to control a graph?
