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-2500/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-2500/optimizer.bin
- Command line
-
hf download hf://shunki555/model_out2/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/shunki555/model_out2/resolve/main/checkpoint-2500/optimizer.bin
2.91 GB
- Xet hash:
- 46edb6a60fc3fcc74cd59957f8b697367a606e37d7f1994604f25788ab2d6992
- Size of remote file:
- 2.91 GB
- SHA256:
- 2efc79af11bf037f459635dd273da3a90421c31a7ffcd034b2328bb18614759b
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