Instructions to use FlyingFishzzz/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FlyingFishzzz/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("FlyingFishzzz/model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6347a40f8a5f0fa8cc180d7ecd688d3cfcda329ee185fc2453690dfb870cb9b8
- Size of remote file:
- 1.46 GB
- SHA256:
- 1d3f94154f920013b3b99c9a3a3eeb0b9501788b169c02194d79bb11fc84153a
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