sdxl-turbo
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
sdxl-turbo is an open-weight image generation model from stabilityai, published on Hugging Face in November 2023. It has 2.6B parameters and is released under a custom license (see the model card).
HardwareLink to this section
At full FP16 precision the weights need about 5 GB of memory; 8-bit quantization brings that to roughly 3 GB. Check the VRAM tiers above to see which GPUs fit it.
PopularityLink to this section
sdxl-turbo had 573,901 downloads on Hugging Face in the last month and has 2,671 likes.
Run it locallyLink to this section
The weights are on Hugging Face and load with Hugging Face Diffusers (or ComfyUI). Follow the model card for the exact setup and license terms.
Frequently asked
Quick answers to common questions
How much VRAM does sdxl-turbo need?
sdxl-turbo with 2.6B parameters needs approximately 2 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is sdxl-turbo better than other stabilityai models?
sdxl-turbo has 2.6B parameters with 8,192 context - a strong choice for image-generation.
What license is sdxl-turbo under?
sdxl-turbo is released under the Other license, making it suitable for most commercial and personal projects.
What hardware runs sdxl-turbo well?
With 2.6B parameters, sdxl-turbo requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for sdxl-turbo?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~2 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with sdxl-turbo?
sdxl-turbo competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec