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:
- 5ff777fcac23378e78c45507bb9a9003235dad656638aa715f88cafb41179515
- Size of remote file:
- 1.45 GB
- SHA256:
- a5d46e23284875df98d6a4d72a4fab90522c4ea37748fd034e4e19658d6a2db8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.