Instructions to use cuongdev/chung-thu3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/chung-thu3 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-thu3", 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:
- 07e22f9eac2022570acbc9bc45dff589d86010b1bd1e862a42c3533c81a1d05a
- Size of remote file:
- 681 MB
- SHA256:
- 1070be7c471db657cdd41ed7b76e5ea9f9c6e54c55fd7d6ef5289f4621fb4531
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