Instructions to use cuongdev/vtthuc2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/vtthuc2 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/vtthuc2", 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:
- c805f7bf2ecac0bf6baac203822e89b72c98a0f03b3004ba823ab6515508eba1
- Size of remote file:
- 681 MB
- SHA256:
- b0651fb44118aa3bffae8361a53d931204b8383ad82197961e71fdcaf219a934
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