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-1500/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-1500/scheduler.bin
- Command line
-
hf download hf://jise/controlnet-wireframe/checkpoint-1500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/jise/controlnet-wireframe/resolve/main/checkpoint-1500/scheduler.bin
1 kB
- Xet hash:
- 35dc119eb3ac9f048ff60c750501718e0b334488bbd48d7799ddfce70ad7b64e
- Size of remote file:
- 1 kB
- SHA256:
- dcdd883061f8f3514731c51041dc7231d10951713a9abbd57d4f968a9c567ce3
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