<h3 id="shuttle-3-diffusion-3qur2c49g">Shuttle 3 Diffusion</h3>Shuttle 3 Diffusion is a text-to-image AI model designed to create detailed and diverse images from textual prompts. It offers enhanced performance in image quality, typography, understanding complex prompts, and resource efficiency.You can try out the model through a website at <a target="_blank" rel="ugc" href="https://chat.shuttleai.com/images">https://chat.shuttleai.com/images</a><h3 id="using-the-model-via-api-e6s7u7n24">Using the model via API</h3>You can use Shuttle 3 Diffusion via API through ShuttleAI-<a target="_blank" rel="ugc" href="https://shuttleai.com/"> ShuttleAI</a>- <a target="_blank" rel="ugc" href="https://docs.shuttleai.com/">Documentation</a>Shuttle 3 Diffusion uses Flux.1 Schnell as its base. It can produce images similar to Flux 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.

Shuttle 3 Diffusion

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3D Flux dev

Shuttle 3 Diffusion is a text-to-image AI model designed to create detailed and diverse images from textual prompts. It offers enhanced performance in image quality, typography, understanding complex prompts, and resource efficiency.You can try out the model through a website at <a target="_blank" rel="noopener noreferrer nofollow" href="https://chat.shuttleai.com/images">https://chat.shuttleai.com/images</a>Using the model via APIYou can use Shuttle 3 Diffusion via API through ShuttleAI<ul><li><a target="_blank" rel="ugc" href="https://shuttleai.com/">ShuttleAI</a></li><li><a target="_blank" rel="ugc" href="https://docs.shuttleai.com/">Documentation</a></li></ul>Shuttle 3 Diffusion uses Flux.1 Schnell as its base. It can produce images similar to Flux 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.

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