Instructions to use Abhi5ingh/model_dresscode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Abhi5ingh/model_dresscode with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Abhi5ingh/model_dresscode") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 093bbea8ee1729ec0893c6bfaa419a2fd1232b4917ccc925c6b192c7be904cf2
- Size of remote file:
- 1.45 GB
- SHA256:
- 9d8570c9a04478723babd994cea24126ae7d11798ca8053f9bb24f3123917966
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