Instructions to use xinsir/controlnet-union-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xinsir/controlnet-union-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", 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 Settings
- Draw Things
- DiffusionBee
GPU support for SD3
#26
by VoxLVX - opened
Thank you for the incredible work you have provided to the entire worldwide community of developers.
What kind of GPU hardware and supporting storage are you needing to update your models? Could you give me specifics in order to see if we could not assist?
A100 or H100 is enough, can you give me a email address so I can discuss it in detail with you.
I think perhaps the community could give money if you start a kickstarter/fundraiser somehow. I surely would.
A100 or H100 is enough, can you give me a email address so I can discuss it in detail with you.
If you want to send me a message I may be able to help email: tristan22mc@gmail.com
Get it!