Instructions to use cuongdev/tonghop-9000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-9000 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/tonghop-9000", 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:
- e8c11269eca497f7a8d66e256223cff60de0c8ac2203fb90720ada2d00b2653f
- Size of remote file:
- 681 MB
- SHA256:
- a565c086a279a1553ec697fc036dfeff5e175415e75800dae7ccf5009b3eab04
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