Instructions to use AllenQ/model_archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AllenQ/model_archive with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("AllenQ/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:
- 1973446894b7d46416ebc0c2e697e73610fa93d8eca2cb53dc07c862a0e642e8
- Size of remote file:
- 2.89 GB
- SHA256:
- 4983363077c8dfd27be96799b023dc92105d6c0fafbd6c2ed507ebd4618a6e97
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