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
- Draw Things
- DiffusionBee
- Xet hash:
- cbaaaaeee251295b9ada3ec88615b4ab7ae22ee28232bb2c810342ac37894b4a
- Size of remote file:
- 2.89 GB
- SHA256:
- ffde51bfb914fd37f22a5f748c1011820ea73bbc446644cca04c16e7fe125a67
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