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stabilityai/sdxl-turbo

The SDXL Turbo model, developed by Stability AI, is an optimized, fast text-to-image generative model. It is a distilled version of SDXL 1.0, leveraging Adversarial Diffusion Distillation (ADD) to generate high-quality images in less steps.

The SDXL Turbo model, developed by Stability AI, is an optimized, fast text-to-image generative model. It is a distilled version of SDXL 1.0, leveraging Adversarial Diffusion Distillation (ADD) to generate high-quality images in less steps.

Public
$0.0002 x (width / 1024) x (height / 1024) x (iters / 5)
Project

Input

text prompt

Num Images

number of images to generate (Default: 1, 1 ≤ num_images ≤ 4)

Num Inference Steps

number of denoising steps (Default: 5, 1 ≤ num_inference_steps ≤ 10)

Guidance Scale

classifier-free guidance, higher means follow prompt more closely (Default: 1, 1 ≤ guidance_scale ≤ 20)

image width in px 13

image height in px 13

random seed, empty means random (Default: empty, 0 ≤ seed)

Output

generated image #0

Introducing SDXL Turbo, the most cost-effective solution for developers focused on high-performance image generation. This tailored version, based on Stability AI's SDXL Turbo, delivers fast, high-quality images while being resource-efficient, making it an excellent choice for scaling applications affordably.

  • Optimized for Speed and Cost Efficiency: The model generates top-tier images in just few steps, drastically reducing computational time and costs while maintaining clarity and detail.

For developers seeking a cost-effective and streamlined solution without compromising on quality, This model is the ideal choice. It combines speed, efficiency, and affordability, perfect for scalable and real-time applications.