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Stability AI SDXL Turbo

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Overview

Stability AI's Stable Image at https://stability.ai/stable-image provides access to SDXL Turbo, a distilled version of SDXL 1.0 for real-time text-to-image generation using Adversarial Diffusion Distillation (ADD), producing photorealistic images in 1-4 steps, typically one step at 512x512 resolution.12 It targets researchers, developers, and users needing fast image synthesis without guidance_scale or negative prompts, available via web demo on platforms like Clipdrop.12

Key Features

  • Single-Step Generation - Generates high-quality photorealistic images from text prompts in one network evaluation using ADD technique.12
  • Real-Time Synthesis - Produces 512x512 images in 207ms on A100 GPU, with 67ms for UNet forward pass.2
  • No Guidance Scale - Trained without guidance_scale or negative_prompt; set guidance_scale=0.0 for inference.13
  • High Fidelity Output - Combines score distillation and adversarial loss for image quality in low-step regime.12
  • Distilled from SDXL 1.0 - Finetuned base model enables 1-4 step sampling at high resolution.14
  • Web Demo Access - Real-time text-to-image demo available on Clipdrop and Stability AI platforms.12
  • Commercial Licensing - Available for commercial use under Stability AI agreements for core models.7

Pricing

PlanPriceIncludes
CommunityFree tierLimited access to SDXL Turbo and other core models for non-commercial use.27
EnterpriseCustomCommercial use of core models including SDXL Turbo under agreement terms.7
Clipdrop BetaFree betaReal-time text-to-image testing on Stability AI's image editing platform.2

Platforms & Requirements

Accessible via web at https://stability.ai/stable-image and Clipdrop demo; no downloadable app specified.12 Optimal performance requires NVIDIA GPUs like A100 or L4; generates 512x512 images efficiently but supports higher sizes.123 Model weights available on Hugging Face for local deployment with GPU resources.1

Integrations & Ecosystem

  • Hugging Face (model weights and code)
  • Clipdrop (real-time web demo)
  • BentoML (inference API serving)
  • Civitai (checkpoint downloads)
  • Baseten (model library deployment)
  • Streamlit (demo scripts via GitHub)

Alternatives

AppDifference
Stable Diffusion 3.5 Large TurboNewer Stability AI model in core lineup, focused on improved quality over SDXL Turbo.7
LCM-XLMulti-step latent consistency model outperformed by SDXL Turbo in single-step blind tests.2
Stable Diffusion XL (50-step)Original SDXL requires 50 steps; SDXL Turbo reduces to 1-4 steps with comparable quality.2
Stable Video DiffusionStability AI video model; extends to frame generation unlike image-only SDXL Turbo.57

Reputation

SDXL Turbo is recognized for pioneering real-time text-to-image generation via ADD, outperforming multi-step models like LCM-XL and SDXL in speed and quality benchmarks.12 It receives praise from developers for single-step efficiency on Hugging Face and Civitai, enabling accessible research and demos.14 Criticisms include initial non-commercial research license and dependency on high-end GPUs like A100 or L4 for optimal speed.23 As of 2026, it remains a core active model with commercial availability.7

Sources (7)
  1. https://huggingface.co/stabilityai/sdxl-turbo
  2. https://stability.ai/news-updates/stability-ai-sdxl-turbo
  3. https://docs.bentoml.com/en/latest/examples/sdxl-turbo.html
  4. https://civitai.com/models/215478/sdxl-turbo
  5. https://github.com/tutumomo/generative-models-SDXL-Turbo-
  6. https://www.baseten.co/library/sdxl-turbo/
  7. https://stability.ai/core-models