Instructions to use cuongdev/sieutonghop2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/sieutonghop2 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/sieutonghop2", 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:
- 072c6096f3876c9cd4db06bff57bc626ee85d507037ea51e70a3d4cd1fe27260
- Size of remote file:
- 3.46 GB
- SHA256:
- da37caebb2dfaaf478d64bf1896c9f4b4b4e76bb5b058757922fc7c04603d36a
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