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
Download checkpoint-5000/optimizer.bin from Abhi5ingh/model_dresscode: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/Abhi5ingh/model_dresscode/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://Abhi5ingh/model_dresscode/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Abhi5ingh/model_dresscode/resolve/main/checkpoint-5000/optimizer.bin
2.89 GB
- Xet hash:
- db9173a9b852a3c637073774e3ff07f9c27a784f0423950456405d134bbfbf4e
- Size of remote file:
- 2.89 GB
- SHA256:
- 256828c30dd050a9ee7b59be119722027b07943bcd61d91d7fd7c55b709b3fd3
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