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:
- 1cd566920c5eee1c088b48e38c5c67792a9f2f0101e6220486901252b94431c4
- Size of remote file:
- 3.46 GB
- SHA256:
- 9e4d972e2097ec3f545709c05a3f0b4bca77e8565993cdf54a06ce6766c43d51
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