Instructions to use cuongdev/test-vtt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-vtt 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/test-vtt", 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:
- f4c9932dc92211693fcc645cea726dff10a6978b5197e8343d4848831c731fee
- Size of remote file:
- 2.61 GB
- SHA256:
- f2774fe48a64d76d727bc1565e7e2c326311423fbba998b0e6d22ecef56cc4b7
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