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
- Xet hash:
- 173c7c1028d5c1a3fa4816ba859d0195f76ff48f543a3b2cf80571c181ce47fa
- Size of remote file:
- 2.89 GB
- SHA256:
- 71f850bb5bcf4b3edfd06a64749b16e129fa4a33fad79e3a38b422d3864a1e2a
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