SDXL Turbo:
Generate stunning AI Art Image in one second

SDXL Turbo is an improved text-to-image generator that is based on diffusion models. It can generate realistic images from any text input. SDXL Turbo uses a new distillation technique called Adversarial Diffusion Distillation (ADD), which enables the model to synthesize images in one step and produce higher quality, more diverse, and more stable results. SDXL Turbo is an upgraded version of Stable Diffusion XL 1.0, which is the most advanced development in the Stable Diffusion text-to-image model suite by Stability AI.

Fast generation

SDXL Turbo only needs one step to generate images, unlike other diffusion models that require multiple iterations. This makes SDXL Turbo more suitable for real-time applications and low-latency scenarios.


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High-quality images

SDXL Turbo leverages the Adversarial Diffusion Distillation (ADD) technique, which can eliminate the typical drawbacks of diffusion models, such as blurriness, noise, artifacts, etc., while preserving the image details. SDXL Turbo generates images that are more clear, sharp, and realistic.


Diverse results

SDXL Turbo can generate different images from different text inputs, without falling into a single mode. SDXL Turbo can capture the semantics and emotions of the text and generate images that match them. SDXL Turbo can also increase the diversity and creativity of the images by adding random noise or control vectors.


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Stability

SDXL Turbo inherits the core advantage of the Stable Diffusion model suite, which is stability. SDXL Turbo can maintain the consistency and coherence of the images under different text inputs and different generation settings. SDXL Turbo does not produce unreasonable images or images that do not match the text.


Open source

SDXL Turbo is a fully open source project, which follows the CreativeML OpenRAIL+±M license. Anyone can use SDXL Turbo to generate images for free, or modify and improve it based on its foundation.


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Frequently Asked Questions


Got a question? We've got answers.

SDXL Turbo is a text-to-image generator based on diffusion models, which can generate realistic images from any text input. SDXL Turbo is an upgraded version of Stable Diffusion XL 1.0, which uses a new distillation technique called Adversarial Diffusion Distillation (ADD), which enables the model to synthesize images in one step and produce higher quality, more diverse, and more stable results.
SDXL Turbo and Stable Diffusion XL 1.0 are both text-to-image generators based on diffusion models, which can generate realistic images from any text input. However, SDXL Turbo uses a new distillation technique called Adversarial Diffusion Distillation (ADD), which enables the model to synthesize images in one step, unlike Stable Diffusion XL 1.0, which requires multiple iterations. This makes SDXL Turbo faster, higher quality, more diverse, and more stable.
The working principle of SDXL Turbo is as follows: First, it encodes the text input into a vector, and then feeds this vector as a conditional input to a diffusion model. A diffusion model is a generative model that can start from a random noise and gradually recover a target image. SDXL Turbo uses a new distillation technique called Adversarial Diffusion Distillation (ADD), which can train a single-step diffusion model, without requiring multiple iterations like other diffusion models. The core idea of ADD is to use an adversarial loss function, which makes the single-step diffusion model generate images that are similar to the multi-step diffusion model, while maintaining the image details and quality.
SDXL Turbo can generate any images that you can imagine, as long as you can describe them with text. You can input any type, style, or theme of text, and SDXL Turbo will try to generate images that match them. You can input some specific things, such as “a blue cat”, or some abstract concepts, such as “the feeling of happiness”, or some creative ideas, such as “a flying car”, and SDXL Turbo will attempt to generate the images you want.
The images generated by SDXL Turbo can be used for various purposes, such as:
Art creation: You can use SDXL Turbo to create your own art works, or add some new elements to your existing art works. You can use SDXL Turbo to generate some unique images, or combine them with other art media, such as painting, photography, music, etc., to create some new art forms.
Education: You can use SDXL Turbo to assist your teaching or learning, for example, you can use SDXL Turbo to generate some images that are related to the course content, to help you understand and remember some concepts or knowledge. You can also use SDXL Turbo to generate some images that are related to your interests or topics, to expand your horizon and imagination.
Entertainment: You can use SDXL Turbo to entertain yourself or others, for example, you can use SDXL Turbo to generate some funny or humorous images, to amuse yourself or your friends. You can also use SDXL Turbo to generate some images that are related to your favorite movies, games, anime, etc., to satisfy your interest and hobby.

SDXL Turbo

SDXL Turbo is a text-to-image generator that can create realistic images from any text input in one step. It is based on diffusion models, which are generative models that can recover a target image from a random noise. SDXL Turbo uses a new technique called Adversarial Diffusion Distillation (ADD), which can train a single-step diffusion model that produces high-quality, diverse, and stable images. SDXL Turbo is an open source project that anyone can use for free, or modify and improve. SDXL Turbo can be used for various purposes, such as art creation, education, and entertainment.