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
- Draw Things
- DiffusionBee
- Xet hash:
- 5441b24fdc8cf7fa9de57ff45e89c487cdb88a140943fc2a82e5b2b001c474a7
- Size of remote file:
- 2.89 GB
- SHA256:
- ee5e27065676bd54eb4ad58e0c284b75e2487b9ab62314e0e1b4a112633524c9
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