Instructions to use kadirnar/vton_mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/vton_mini with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kadirnar/vton_mini", dtype=torch.bfloat16, device_map="cuda") prompt = "model is wearing" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3416a84ff546bece868d9e54dc7e43f8f8df31222a978117b7de982e425ad80b
- Size of remote file:
- 9.6 MB
- SHA256:
- 82293708bd9f2908cfdc43d86091863be42dc92a28fbf7657b5dcbbffd45b9b0
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