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-20000/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-20000/optimizer.bin
- Command line
-
hf download hf://c-eshih/models_human/checkpoint-20000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/c-eshih/models_human/resolve/main/checkpoint-20000/optimizer.bin
2.89 GB
- Xet hash:
- 89a0f2e91a0209ed31d95ea1e44ca5ffb0b4c621d701447d6466c55a88c1c70d
- Size of remote file:
- 2.89 GB
- SHA256:
- fe42ad003eb3a5100edf65089b07e4f8c410f6926baa94c6f484f134cf1c6d17
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