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:
- 90a1cacfc02472bd5dd741cc2b86ea1fd2a32735071127c5a8af0e4fd0a5c3b1
- Size of remote file:
- 2.61 GB
- SHA256:
- 459655cd58773d2fb3e870187694bb0d7397138c159cd933a3b30dd70947857a
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