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:
- 4dab76acc831451f111ec46e40234cc0f128446403d872466f9f27f2db44e34f
- Size of remote file:
- 681 MB
- SHA256:
- c9a44f1d53cc5573cb7f6ae50b992ce5efdc5b45836fea8392e3750cbab317e3
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