Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use eeshclusive/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eeshclusive/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("eeshclusive/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 images_1.png from eeshclusive/model_out: direct link, hf CLI and curl.
- Browser
- Download file 2.24 MB
-
https://huggingface.co/eeshclusive/model_out/resolve/main/images_1.png
- Command line
-
hf download hf://eeshclusive/model_out/images_1.png
-
curl -L -o images_1.png https://huggingface.co/eeshclusive/model_out/resolve/main/images_1.png
2.24 MB

- Xet hash:
- c54636a9f086cbbc7fb041dc1c6359cdab73abfcca5bff332e748c963387a9c3
- Size of remote file:
- 2.24 MB
- SHA256:
- c778d59d742d44daaf42bbe4b553af9d886694d58f090bb85069050cc9cd78e6
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