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
- Draw Things
- DiffusionBee
- Xet hash:
- 2a6d30b33f9a2b721c784d0423b944d302711428092460a7dfda76296f5d2f87
- Size of remote file:
- 1.45 GB
- SHA256:
- 52eb5df12bf7113fd2b402cf79967c6f00b760bf3e2d3b71c9f5b235028f3980
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