Instructions to use pranaykoppula/vtonseconduser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pranaykoppula/vtonseconduser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pranaykoppula/vtonseconduser", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from pranaykoppula/vtonseconduser: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/pranaykoppula/vtonseconduser/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://pranaykoppula/vtonseconduser/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/pranaykoppula/vtonseconduser/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- ec29771e1c87a32597685d6911b85be03615c92401f9de15d25a8938db13c6be
- Size of remote file:
- 3.44 GB
- SHA256:
- 79b28ba3733a929a23490f4909486a002d6e3a97d548c08fc2829f8004f42460
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