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:
- fec18bef6148a549976e229a2e72d35650fc5aa5dff09621401fdcc4e741e9b7
- Size of remote file:
- 1.45 GB
- SHA256:
- 354368802599fa7e00883fe98f1a202fc7e078530718f2ddbb60ebe859b8d9fe
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