Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use hxgrace/model_6_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hxgrace/model_6_20 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("hxgrace/model_6_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_6_20: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/hxgrace/model_6_20/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://hxgrace/model_6_20/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hxgrace/model_6_20/resolve/main/checkpoint-5000/optimizer.bin
2.91 GB
- Xet hash:
- 615cee3a15675ec4ba863f867c14bb49a36ef34dd6ce496010b5add270dbaf22
- Size of remote file:
- 2.91 GB
- SHA256:
- 9533c738333d9404dfe1e2335e87b8ea91fab4d2a614c10374ef856f0cf51fa4
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