Instructions to use cuongdev/moimoi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/moimoi 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/moimoi", 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:
- 3705018abbc034d286403074c5d5cb358f1e872b7a229ed3f85491e698970ffb
- Size of remote file:
- 3.46 GB
- SHA256:
- adb76940fa0899d93065570069358221df2295537a0cdc7c251b8476af7492d7
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