Instructions to use gouthaml/raos-virtual-try-on-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gouthaml/raos-virtual-try-on-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gouthaml/raos-virtual-try-on-model", 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
Regarding documentation
#1
by Aaaadkrs - opened
Hey,
I am currently researching virtual-try-on models and would like to check this model out, however, I am having difficulty setting it up.
Could you provide a quick summary of how to deploy it?
Hello ,
I am having a difficulty setting it up things .Can you help how to deploy it?