Instructions to use cuongdev/chung-thu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/chung-thu 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", 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:
- 1617e2f032ea5300b5a7fda8b24f820ac0b71d7c4c30a9b277b8714f644989f6
- Size of remote file:
- 681 MB
- SHA256:
- 1318c5d7c6add2492e98646b9c765983d2dd6e2115f614916253f4fc51af6ef4
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