Instructions to use cuongdev/test-moi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-moi 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-moi", 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:
- ee4d9f5696a20f10ad34b29f8bb15eb504919f6995ce313566af27508df8c090
- Size of remote file:
- 3.46 GB
- SHA256:
- 0e76db7ed315e040fc5c9b5cd62e605079c1515fae6f5860c75bc2628249a16f
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