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-10500/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-10500/optimizer.bin
- Command line
-
hf download hf://c-eshih/models_human/checkpoint-10500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/c-eshih/models_human/resolve/main/checkpoint-10500/optimizer.bin
2.89 GB
- Xet hash:
- ed1ed1d7d2b321fc7da61a4e88150be0c6dee04d7c3742448087307275274577
- Size of remote file:
- 2.89 GB
- SHA256:
- 8ae9a7ce333d87fc33a698169648c550e3f2888e84dfa40339ad695a88332eec
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