Stability AIReleased November 28, 2023

SDXL Turbo

Open Source3.5B parameters

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 is Stability AI's speed-optimized image generation model that produces high-quality images in a single diffusion step, enabling real-time image generation. Using Adversarial Diffusion Distillation (ADD), it generates 512x512 images in under a second on consumer GPUs. This breakthrough in speed makes it ideal for interactive applications, real-time design tools, and any use case where immediate visual feedback is essential.

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Frequently Asked Questions

What is SDXL Turbo?
SDXL Turbo is Stability AI's speed-optimized image generation model that produces high-quality images in a single diffusion step, enabling real-time image generation. Using Adversarial Diffusion Distillation (ADD), it generates 512x512 images in under a second on consumer GPUs. This breakthrough in speed makes it ideal for interactive applications, real-time design tools, and any use case where immediate visual feedback is essential.
How much does SDXL Turbo cost?
SDXL Turbo costs Free (open) per 1 million input tokens and Free (open) per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is SDXL Turbo's context window?
SDXL Turbo has a context window of N/A (image) tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is SDXL Turbo open source?
Yes, SDXL Turbo is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is SDXL Turbo best for?
SDXL Turbo is best suited for: Real-time image generation, rapid prototyping. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Stability AI's model lineup.