Instructions to use AllenQ/model_wireframe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AllenQ/model_wireframe with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("AllenQ/model_wireframe") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3fdce65f73a49c454ce1f7a11b10bc6e75d4e9cbf4c0fb09cf86d2480083b278
- Size of remote file:
- 1.45 GB
- SHA256:
- 27816fd8211845f17689fd71c8d33cf9ef9c492a338e43fe3f88cbc9f2246dcb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.