Instructions to use TencentARC/t2iadapter_sketch_sd15v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/t2iadapter_sketch_sd15v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TencentARC/t2iadapter_sketch_sd15v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d706ddc0c922810bdf481223260e89055403992e7cbe0bfa5e0a9195fd47d75
- Size of remote file:
- 308 MB
- SHA256:
- fae8f2eb4e4646993c1c2c8c73765eb46d7a8cf6579e1ca974374cd10f303434
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