Instructions to use jise/controlnet-X-ray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jise/controlnet-X-ray with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jise/controlnet-X-ray") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- ed5f6befe1ae5ac05883b25b9641567c8b47aa49fcc41272ef5a118456134d92
- Size of remote file:
- 1.45 GB
- SHA256:
- 5c97c9230a0f69e2b0c2eaf3afc509f45339deef8618c87daf02fd3c5f14dfed
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