Instructions to use cuongdev/quantrong-tnmthu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/quantrong-tnmthu 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-tnmthu", 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:
- da4b15dc78f8d72337bcf1cb16c67f93f05cbdb1a4e14abc6791b9899f8e6df6
- Size of remote file:
- 681 MB
- SHA256:
- 483717c9022e83eaa8ec0879d9044509e99007cf2463fe6a81c3a19084d6427b
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