Instructions to use cuongdev/vtthuc-new-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/vtthuc-new-v2 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/vtthuc-new-v2", 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:
- 062258df13a126b67479d4f1a2229b5319b69108df7da63fc7cebf669acad89f
- Size of remote file:
- 681 MB
- SHA256:
- cc7c1d7c0870b406caa44b61d316c82d4dfd74c33701f05064294da5826d175b
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