Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use dyamagishi/human_place with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dyamagishi/human_place with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("dyamagishi/human_place") pipe = StableDiffusionControlNetPipeline.from_pretrained( "cagliostrolab/animagine-xl-3.1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- eacf5d5d647a318b344d74dad85e697b9cdb16bc20aea9b63a84e90382c20b03
- Size of remote file:
- 2.51 GB
- SHA256:
- 04874b7570ad7bc5483bdaca1dc51358ff989b6fc0be613ce1e1af994ad8c36d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.