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/scheduler.bin from jise/controlnet-wireframe: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/jise/controlnet-wireframe/resolve/main/checkpoint-6500/scheduler.bin
- Command line
-
hf download hf://jise/controlnet-wireframe/checkpoint-6500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/jise/controlnet-wireframe/resolve/main/checkpoint-6500/scheduler.bin
1 kB
- Xet hash:
- 90a21e7cbd2d37f22620dd5d46dfa75b8827827799279292a8c1eb0b01f24de7
- Size of remote file:
- 1 kB
- SHA256:
- d229b0da4068c3fe48559d0cf4e98c2363ffbc34b55fa0c031894ec3002f1437
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