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
controlnet-Abhi5ingh/model_dresscode
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
You can find some example images below.
prompt: hem shoulder top in navy blue
prompt: beautiful floral gown
prompt: one-shoulder textured dress one long draping sleeve one sleeved mini purple evening dress

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Model tree for Abhi5ingh/model_dresscode
Base model
runwayml/stable-diffusion-v1-5