Instructions to use cuongdev/moi4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/moi4 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/moi4", 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:
- 796612bc54126b2f7038aa72d5441ee8eeade2d5ece1fd4377a446a4a2861ebc
- Size of remote file:
- 681 MB
- SHA256:
- 93d4b16ac3db31a2e6a55cb4db7e72cd6c34967ccc363b9a706e517646da4c56
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