Instructions to use Bellaaazzzzz/model_wireframe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bellaaazzzzz/model_wireframe with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Bellaaazzzzz/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:
- 57030500a283537dbb4a7c73715d1b58194bcda03cc18a149b3f9644212f16c8
- Size of remote file:
- 1.45 GB
- SHA256:
- 69ea4e97d40be4c6111fec9e1f8754fe7962554906c614cf3d3ea9c1213f8e18
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