Instructions to use FlyingFishzzz/model_left_lmk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FlyingFishzzz/model_left_lmk with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("FlyingFishzzz/model_left_lmk") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 007615ba6365d1751f34ba464e43615f0acbed36ffc91b8fd0ea329ae7b94a50
- Size of remote file:
- 1.46 GB
- SHA256:
- 788175a40f1bf56fdebf92a00155c101db75bd5c29103b5ce7e30ae3358382e6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.