Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
Instructions to use jbeomlee93/controlnet-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jbeomlee93/controlnet-model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jbeomlee93/controlnet-model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "diffusers/stable-diffusion-xl-1.0-inpainting-0.1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: openrail++ | |
| base_model: diffusers/stable-diffusion-xl-1.0-inpainting-0.1 | |
| tags: | |
| - stable-diffusion-xl | |
| - stable-diffusion-xl-diffusers | |
| - text-to-image | |
| - diffusers | |
| - controlnet | |
| inference: true | |
| # controlnet-jbeomlee93/controlnet-model | |
| These are controlnet weights trained on diffusers/stable-diffusion-xl-1.0-inpainting-0.1 with new type of conditioning. | |