Instructions to use cuongdev/vtt-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/vtt-new with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/vtt-new", 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:
- 8856ee5d5bb40a81db76b4604a71cb058f410fcd02ea855f0a35c02611245571
- Size of remote file:
- 2.61 GB
- SHA256:
- 097cd3f345209e99e5c1cc12a48a01ee8cb65e258bc0fa360560083dbb1c3c9c
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