Instructions to use Sanjay07/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sanjay07/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Sanjay07/model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from Sanjay07/model_out: direct link, hf CLI and curl.
- Browser
- Download file 725 MB
-
https://huggingface.co/Sanjay07/model_out/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://Sanjay07/model_out/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Sanjay07/model_out/resolve/main/checkpoint-500/optimizer.bin
725 MB
- Xet hash:
- 5bf7df1070c107e44f91a050e3318711249d1e9690be44135aa428e71c3fa861
- Size of remote file:
- 725 MB
- SHA256:
- d848c7af4324097213a6a8d750a4724b20196a479e3dd8598b7f257e5d7eeb99
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