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Stability AIReleased November 28, 2023

SDXL Turbo

Open Source3.5B parameters

SDXL Turbo is Stability AI's entry in a crowded field.

Context

N/A (image)

Input

Free (open)

Key Specifications

🏆

Arena Rank

Not disclosed

📐

Context Window

N/A (image)

📥

Input Price

per 1M tokens

Free (open)

📤

Output Price

per 1M tokens

Free (open)

🧠

Parameters

3.5B

🔓

Open Source

Yes

Best For

Real-time image generationrapid prototyping

About SDXL Turbo

SDXL Turbo, developed by Stability AI, is an open-source image generation model with 3.5 billion parameters designed for real-time image synthesis. The model generates images in a single inference step using adversarial diffusion distillation, producing results in under one second compared to the multi-step process of standard diffusion models. This speed advantage makes it suitable for interactive applications, live previews, and rapid prototyping where instant visual feedback is required. While image quality is somewhat lower than multi-step models like SDXL or Stable Diffusion 3, the speed-quality tradeoff is favorable for many practical applications. Free and fully open-source, SDXL Turbo runs on consumer GPUs and can be integrated into real-time applications. The model demonstrated that diffusion models could be distilled for near-instant generation without catastrophic quality loss.

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Frequently Asked Questions

What is SDXL Turbo?
SDXL Turbo, developed by Stability AI, is an open-source image generation model with 3.5 billion parameters designed for real-time image synthesis. The model generates images in a single inference step using adversarial diffusion distillation, producing results in under one second compared to the multi-step process of standard diffusion models. This speed advantage makes it suitable for interactive applications, live previews, and rapid prototyping where instant visual feedback is required. While image quality is somewhat lower than multi-step models like SDXL or Stable Diffusion 3, the speed-quality tradeoff is favorable for many practical applications. Free and fully open-source, SDXL Turbo runs on consumer GPUs and can be integrated into real-time applications. The model demonstrated that diffusion models could be distilled for near-instant generation without catastrophic quality loss.
How much does SDXL Turbo cost?
Input pricing for SDXL Turbo is Free (open) per million tokens; output runs Free (open). Token-based pricing means you can scale up or down without a fixed commitment.
What is SDXL Turbo's context window?
The context window for SDXL Turbo is N/A (image) tokens. That's the maximum amount of text you can feed into a single prompt, including system instructions, conversation history, and the actual query.
Is SDXL Turbo open source?
SDXL Turbo is fully open source. You can grab the weights, run it on your own hardware, and fine-tune it for specific tasks. That flexibility is a big deal for teams with strict data requirements.
What is SDXL Turbo best for?
The sweet spot for SDXL Turbo is: Real-time image generation, rapid prototyping. If your workload fits one of these categories, it's worth benchmarking against alternatives.