Instructions to use Roopansh/Ailusion-VTON-DEMO-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Roopansh/Ailusion-VTON-DEMO-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Roopansh/Ailusion-VTON-DEMO-v1", 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
Ctrl+K
- assets
- ckpt
- configs
- densepose
- detectron2
- example
- humanparsing
- image_encoder
- ip_adapter
- openpose
- preprocess
- scheduler
- src
- text_encoder
- text_encoder_2
- tokenizer
- tokenizer_2
- unet
- unet_encoder
- util
- vae
- 1.67 kB
- 3.34 kB
- 4.04 kB
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- 14.9 kB
- 13 kB
- 556 Bytes
- 16.2 kB
- 1.61 kB
- 24 kB
- 355 Bytes
- 7.63 kB
- 1.8 MB