Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use jise/controlnet-wireframe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jise/controlnet-wireframe with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jise/controlnet-wireframe") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-6500/optimizer.bin from jise/controlnet-wireframe: direct link, hf CLI and curl.
- Browser
- Download file 725 MB
-
https://huggingface.co/jise/controlnet-wireframe/resolve/main/checkpoint-6500/optimizer.bin
- Command line
-
hf download hf://jise/controlnet-wireframe/checkpoint-6500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jise/controlnet-wireframe/resolve/main/checkpoint-6500/optimizer.bin
725 MB
- Xet hash:
- a5f3191e89ae16b31e6681a8d11157a663ea9e725e79c026bed36189e0dfa61a
- Size of remote file:
- 725 MB
- SHA256:
- 1a2682d23d3dba3194f0ecbe09b340bfeff9fa6a5fa0f94407fc9c66bae4e5dd
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