README.md

---
language:
- en
license: apache-2.0
library_name: diffusers
pipeline_tag: text-to-image
tags:
- text-to-image
- image-generation
- shuttle
---

# Shuttle 3 Diffusion

## Model Variants
These model variants provide different precision levels and formats optimized for diverse hardware capabilities and use cases
- [bfloat16](https://huggingface.co/shuttleai/shuttle-3-diffusion)
- [GGUF](https://huggingface.co/shuttleai/shuttle-3-diffusion-GGUF)
- [fp8](https://huggingface.co/shuttleai/shuttle-3-diffusion-fp8)

Shuttle 3 Diffusion is a text-to-image AI model designed to create detailed and diverse images from textual prompts in just 4 steps. It offers enhanced performance in image quality, typography, understanding complex prompts, and resource efficiency.

![image/png](https://huggingface.co/shuttleai/shuttle-3-diffusion/resolve/main/demo.png)

You can try out the model through a website at https://chat.shuttleai.com/images

## Using the model via API
You can use Shuttle 3 Diffusion via API through ShuttleAI
- [ShuttleAI](https://shuttleai.com/)
- [ShuttleAI Docs](https://docs.shuttleai.com/)

## Comparison to other models
Shuttle 3 Diffusion can produce images better images than Flux Dev in just four steps, while being licensed under Apache 2.
![image/png](https://huggingface.co/shuttleai/shuttle-3-diffusion/resolve/main/comparison.png)
[More examples](https://docs.shuttleai.com/getting-started/shuttle-diffusion)

## Training Details
Shuttle 3 Diffusion uses Flux.1 Schnell as its base. It can produce images similar to Flux Dev or Pro in just 4 steps, and it is licensed under Apache 2. The model was partially de-distilled during training. When used beyond 10 steps, it enters "refiner mode," enhancing image details without altering the composition. We overcame the limitations of the Schnell-series models by employing a special training method, resulting in improved details and colors.