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:
- a1545d7d2fdea3ff32438a581f6d872f5f63b4a6ddbe0fb27c4688229f8e419f
- Size of remote file:
- 2.61 GB
- SHA256:
- bc26102df279cad23a0d94c8cf597b0794ff7acd197fc6508d63a486cd346b53
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