Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use JaspervanLeuven/controlnet_rect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JaspervanLeuven/controlnet_rect with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("JaspervanLeuven/controlnet_rect") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5b7a3cd5d6b170a49138f6d8cce82d044728a6d5e0daf3a86bb9fa2a2972d95a
- Size of remote file:
- 1.45 GB
- SHA256:
- 5b64d85e40bcbe8b65254a4faf09a5645fea88e6d0fd629dd5b95714b13ba3fb
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