Instructions to use Mobius-labs/emoji_model_msfluentui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mobius-labs/emoji_model_msfluentui with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mobius-labs/emoji_model_msfluentui", 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
- Draw Things
- DiffusionBee
Background
This model was trained to generate emojis! By nature, the outputs are simplified but are meant to capture the essence of their subjects.
The model is good at depicting people and animals. Abstract faces (e.g. smiley/sad faces) aren’t consistent at the moment, but can likely be fixed in future versions.
Join our Discord for any questions or feedback!
Resources
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