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
- Xet hash:
- 64ae75480d0338359af622a215c0700baffa620858fe86aed26e9f9f2684bd72
- Size of remote file:
- 492 MB
- SHA256:
- d84dccd831b0179ab01acfbc437ec9afdb99bc6fb3cb1932bf3ccd69d542493e
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