Instructions to use cuongdev/chau-thuc-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/chau-thuc-2 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/chau-thuc-2", 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:
- 1483df7ae1c50b5743b7eb3dba5dbe49f63f52153928c3a41d25d127253e54cf
- Size of remote file:
- 681 MB
- SHA256:
- b252c9e4476379e6218a1a4b2969fb6bf889c119cf8706fd1509ee58c6958043
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