Instructions to use VecToRoTceV/model_wireframe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VecToRoTceV/model_wireframe with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("VecToRoTceV/model_wireframe") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7ff8e1d5b1fb0f706c6ca113595d4121f4a24480621ed950c671a5e1e30bfde1
- Size of remote file:
- 2.89 GB
- SHA256:
- aade77405658e2dfa27f4daa0198abb8d4d30042a61f64cd9f0952a55ba5a16e
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