Instructions to use cuongdev/chung-thu-20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/chung-thu-20 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/chung-thu-20", 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:
- 568ff69a0b240637768059da1fbc2b23a593aecfbc4d9160e091f42794c46af9
- Size of remote file:
- 681 MB
- SHA256:
- e465a8724994fd493b8a8e9fbdf52e94c80f929ba6d5dd909907acdc295fd449
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