Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use DharunSN/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DharunSN/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("DharunSN/model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from DharunSN/model_out: direct link, hf CLI and curl.
- Browser
- Download file 741 MB
-
https://huggingface.co/DharunSN/model_out/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://DharunSN/model_out/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/DharunSN/model_out/resolve/main/checkpoint-2000/optimizer.bin
741 MB
- Xet hash:
- 9dd32958f60dc1363f991643569aa7f7cf04e5c3f01d0a98ded81505a512247f
- Size of remote file:
- 741 MB
- SHA256:
- f2f6ae3ff7159b94893804093bcf6a1726e90a60a496bf58cd1172450593c630
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