Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use c-eshih/models_human with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use c-eshih/models_human with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("c-eshih/models_human") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-22000/optimizer.bin from c-eshih/models_human: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/c-eshih/models_human/resolve/main/checkpoint-22000/optimizer.bin
- Command line
-
hf download hf://c-eshih/models_human/checkpoint-22000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/c-eshih/models_human/resolve/main/checkpoint-22000/optimizer.bin
2.89 GB
- Xet hash:
- 7303dc5a779771b54e669475fbae33d582b51a60ee2cda2eef18aa7a4b076939
- Size of remote file:
- 2.89 GB
- SHA256:
- 7770a54db9fd3458a896f4965a2d3643b26868c057a743bc11a08fe2d49c876a
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