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:
- 702d4776857df1d2ed7d2150d3ed286adf3a375be1511de6903bb5faf0933a7f
- Size of remote file:
- 2.61 GB
- SHA256:
- 8d0474823ef8d56c8b6be112a17bde30f8f0ac5b57da9496323e362ce0cd9f3b
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