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:
- cfd19668dcda991e7789473115fe060deea70781fb02054f94ecd5eced3dee10
- Size of remote file:
- 2.89 GB
- SHA256:
- 22e4a5ad6c061fbf8e9ae9077aa2b6f22c07115f998664407f955bd58e7dab46
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