Instructions to use cuongdev/moi3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/moi3 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/moi3", 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:
- 94eb0b0756caae5326d74d76aed100b16abe7f2dc7536f4e4fb314f1f29b6163
- Size of remote file:
- 681 MB
- SHA256:
- c8e970d6a432a7ff9f98b42c08b86ab3e114e4fa0721c11fb8a35ac4498ff60a
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