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/controlnet/diffusion_pytorch_model.bin from Abhi5ingh/model_dresscode: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/Abhi5ingh/model_dresscode/resolve/main/checkpoint-5000/controlnet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Abhi5ingh/model_dresscode/checkpoint-5000/controlnet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Abhi5ingh/model_dresscode/resolve/main/checkpoint-5000/controlnet/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 0dd1084fdc03100c834e2faad047786debd70e57ad21857bba42d126cd196027
- Size of remote file:
- 1.45 GB
- SHA256:
- c78fcabaf76868dc99f2ae5be35e09da9d1baca5f582ec2792cffaab24c72b53
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