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
Download checkpoint-500/optimizer.bin from FlyingFishzzz/model_left_lmk: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/FlyingFishzzz/model_left_lmk/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://FlyingFishzzz/model_left_lmk/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/FlyingFishzzz/model_left_lmk/resolve/main/checkpoint-500/optimizer.bin
2.91 GB
- Xet hash:
- 850a4b14053fdfdce1235626c0fe26f8eb30beba1eb44e628cc28d816ffbc162
- Size of remote file:
- 2.91 GB
- SHA256:
- 9f8abe1c36624212ffb5f6d10cb38ac0c8d8a68d6560f997f3c0d7480c0df33a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.