Instructions to use TencentARC/t2iadapter_seg_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_seg_sd14v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_seg_sd14v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d67987160697bcbdb2ba5d3d3c83d31dbc5a73ce8b107e4e15d2817d9ff490c
- Size of remote file:
- 309 MB
- SHA256:
- a80125e62bf236453ce925aa868166390b3c29138b68764ea9ebb1baadbea7db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.