Instructions to use cuongdev/test-moi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-moi2 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/test-moi2", 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:
- 74b9b7475770a4c4e7a77c84c57826593f7e300a6269b128ae35c52ff1421af3
- Size of remote file:
- 3.46 GB
- SHA256:
- a90586b62959013aaa0635519c5e695dc41a81e559f1fba91092e282e62bcfe0
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