Instructions to use cuongdev/sieusieu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/sieusieu 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/sieusieu", 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:
- 8ad952253b87ed110050de71ec60b54fe07cbc5dacdf109cffc1058b221c140a
- Size of remote file:
- 3.46 GB
- SHA256:
- f703c12b79ae9c42aac9be4f503c8be0ad617ce0fbad02b8cd904ac7e5daaf13
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