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
Upload 3 files
Browse files- EfficientNetB3_best_model.h5 +3 -0
- pose_estimations.pkl +3 -0
EfficientNetB3_best_model.h5
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pose_estimations.pkl
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oid sha256:eeae4184918111144b1501b72d0b5b3a374674145729437bf2a04e742b53d99b
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size 1161951
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