Instructions to use cuongdev/quantrong-hntanh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/quantrong-hntanh 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/quantrong-hntanh", 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:
- 00d7b91c4fbe9d761a0962c2927ad42c9f37b7df0ae00758db617a48836a068f
- Size of remote file:
- 681 MB
- SHA256:
- facf96c83b49fb19489a808ee157ffff837e147ffd3132a7bab503ccb5d0b7ec
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