Stability AI
SDXL Turbo (GGUF)
Single-step SDXL. Near-instant image generation.
About This Model
SDXL Turbo (GGUF) by Stability AI is a 3.5 billion parameter text-to-image generation model designed for efficient local deployment. This model excels in generating high-quality images from textual descriptions, making it a powerful tool for creatives, artists, and developers who need to produce detailed and visually appealing content without the need for cloud services. The unet-diffusion architecture ensures that the model can handle complex scenes and styles, providing a balance between speed and quality that is often hard to achieve in smaller models.
Compared to other models in its size class, SDXL Turbo stands out for its efficiency and performance. It punches well above its weight, offering results that are comparable to larger, more resource-intensive models while requiring significantly less VRAM. This makes it an excellent choice for users with mid-range GPUs, as it operates efficiently within a 5.0 GB VRAM range. The availability of Q5_0 quantization further enhances its performance on lower-end hardware, ensuring that a wide range of users can benefit from its capabilities. Ideal for hobbyists, small-scale projects, and professionals looking for a reliable local solution, SDXL Turbo is a versatile and accessible option for text-to-image generation.
Check Your Hardware
See which quantizations of SDXL Turbo (GGUF) your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q5_0 | 5 | 3.5 GB | 5 GB | 7 GB | 85% |
Try It — Diffusion Generation Demo
Click "Generate" to watch how Flux.1 creates an image from noise. Real outputs from RunThisModel.com.

"A cozy wooden cabin in snowy mountains at golden hour sunset"

"A friendly humanoid robot reading a book in a library"

"Gourmet sushi platter, professional food photography"

"Woman scientist in a modern lab, natural lighting"

"Snow leopard on mountain peak at dawn, golden rim light"

"Cyberpunk city at night, neon signs, rain reflections"
Animation simulates the diffusion denoising process at recorded generation speed. Actual generation requires GPU hardware or cloud service.
Frequently Asked Questions
How much VRAM do I need to run SDXL Turbo (GGUF)?
SDXL Turbo (GGUF) requires 5GB VRAM minimum with Q5_0 quantization. For full precision, you need 5GB VRAM.
What is the best quantization for SDXL Turbo (GGUF)?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.