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-2500/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-2500/optimizer.bin
- Command line
-
hf download hf://Sanjay07/model_out/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Sanjay07/model_out/resolve/main/checkpoint-2500/optimizer.bin
725 MB
- Xet hash:
- d5bd850db7743778f8cc9886bb2db1ea57e469254c2237ea54e157a8d74ba550
- Size of remote file:
- 725 MB
- SHA256:
- f2b73dec1ee017cf34ec0aaf7a718ef051702c654baee11ea506262d975cef22
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