Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use hxgrace/model_2_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hxgrace/model_2_20 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("hxgrace/model_2_20") 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 hxgrace/model_2_20: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/hxgrace/model_2_20/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://hxgrace/model_2_20/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hxgrace/model_2_20/resolve/main/checkpoint-5000/optimizer.bin
2.91 GB
- Xet hash:
- 98355b4fe6865c846a0ca65c6567bcd2b22f7d8ba6cf448108f201798dad61ed
- Size of remote file:
- 2.91 GB
- SHA256:
- a0be4ecb845df6a6d22e48a77f4153eb2a2b2f7ed871ec800a6cd6d629162d50
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.