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-2500/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-2500/optimizer.bin
- Command line
-
hf download hf://FlyingFishzzz/model_left_lmk/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/FlyingFishzzz/model_left_lmk/resolve/main/checkpoint-2500/optimizer.bin
2.91 GB
- Xet hash:
- c0d17b141f294d08d76f561e54f65b636ac6bd4db4fac5f0c87541c685855a9c
- Size of remote file:
- 2.91 GB
- SHA256:
- 8f5319edc957aceffa1f5533a570fa33daedd55c54a288ebfe20c8d96dcad51c
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