Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use shunki555/model_out2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shunki555/model_out2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("shunki555/model_out2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5500/optimizer.bin from shunki555/model_out2: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/shunki555/model_out2/resolve/main/checkpoint-5500/optimizer.bin
- Command line
-
hf download hf://shunki555/model_out2/checkpoint-5500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/shunki555/model_out2/resolve/main/checkpoint-5500/optimizer.bin
2.91 GB
- Xet hash:
- 9cb0f022ba7cf4c3a2d5a5dc80f569bed23d724d02d2ac63cbc6b5daf09b820f
- Size of remote file:
- 2.91 GB
- SHA256:
- c7e183176dc080e275f75855539cb6cb6d68d41d80504b819bf5dd2863bef699
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