Instructions to use Bellaaazzzzz/model_archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bellaaazzzzz/model_archive with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Bellaaazzzzz/model_archive") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4f4906e16393705452e4b865404fdda10fdf719004ee32a4e00d101bf1575f1b
- Size of remote file:
- 1.45 GB
- SHA256:
- 3a785fea9dcaa7e78cfc31ce17c927bf4e4e5ed18c9047da57ba4d797a3430b3
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