Instructions to use valknar/graffiti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use valknar/graffiti with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("valknar/graffiti") pipe = StableDiffusionControlNetPipeline.from_pretrained( "Lykon/DreamShaper", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cece9a1dc4c7551a386f84a4000e89092c4ced52b02727474f93233c033583d8
- Size of remote file:
- 1.45 GB
- SHA256:
- 459d0fc6a823cc5a811d445944ce169e9bfbff8035af039bf22f010ccace6024
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