Instructions to use k8tems/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use k8tems/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("k8tems/model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 004d59d4870c4c1c11694448103fb0af7ec320ad3903974c6cc66049e28b782e
- Size of remote file:
- 1.45 GB
- SHA256:
- 9a1dcd1057853f79cfe886985418e5a420a994192a382427fdb03979366df7cc
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