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:
- b5fde7b00228c87a3bd0973b4ed34455fed6624bb2b6e096d5449ffc480672a6
- Size of remote file:
- 1.45 GB
- SHA256:
- f59e79ef05e055a612f97bdff10d7984a0beac52e905882a16e7b1fb89e6f000
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