Instructions to use Abrumu/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Abrumu/output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Abrumu/output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 14fc2a415fa13cc6a6ed36c5d5a2b7b9e577ad6378f31bcd5e0494cf1b1c6191
- Size of remote file:
- 1.45 GB
- SHA256:
- 5610e8cf6d2cf2a484366f7f8c8f37af2564dd8a7cb60b2f54b987a408de10a6
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