Instructions to use cuongdev/moi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/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/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:
- cfcbe0a60f6c4c17a98d5279faaa09fd7ac2e7656de77721cf053ed5a6b8fcb4
- Size of remote file:
- 3.46 GB
- SHA256:
- 05f313655ed770a54d0f0d26fc90f60b177bcc921f7b1cc7344b5bb36f9bc55d
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