Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Jieya/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jieya/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jieya/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-5000/optimizer.bin from Jieya/model_out: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/Jieya/model_out/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://Jieya/model_out/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Jieya/model_out/resolve/main/checkpoint-5000/optimizer.bin
2.91 GB
- Xet hash:
- 6801e51098f353428313e5e71800ca490c99b58b187b74dbefcb09034e7fa7d3
- Size of remote file:
- 2.91 GB
- SHA256:
- ed9b373306572eb575cd19dd16ac57d8651fc0f50fb4f64a79f5c77bd3c75f4d
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