Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use YCHuang2112/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YCHuang2112/model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("YCHuang2112/model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from YCHuang2112/model: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/YCHuang2112/model/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://YCHuang2112/model/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/YCHuang2112/model/resolve/main/checkpoint-2000/optimizer.bin
2.89 GB
- Xet hash:
- 3dae9d13ec722d71439f14bc6294cf31b5800b9b5d6ce7493441c3f49e73cc02
- Size of remote file:
- 2.89 GB
- SHA256:
- c72de1e1dfa0658d35ed398ea4c66bcf308ecfd17d0666de75e5e213533a90d0
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