Stable Diffusion 3 Medium (GGUF) vs SDXL Turbo (GGUF)
Side-by-side comparison of hardware requirements, quantization options, and specifications to help you choose the right model for your device.
Stability AI
Stable Diffusion 3 Medium (GGUF)
2.5B params
Image GenerationStability AI
SDXL Turbo (GGUF)
3.5B params
Image GenerationSpecifications Comparison
| Spec | Stable Diffusion 3 Medium (GGUF) | SDXL Turbo (GGUF) |
|---|---|---|
| Parameters | 2.5B | 3.5B |
| Architecture | mmdit-diffusion | unet-diffusion |
| License | stability-community | stability-community |
| Context Length | N/A | N/A |
| Category | Image Generation | Image Generation |
| Author | Stability AI | Stability AI |
| HF Downloads | 5.5K | 1.1M |
| VRAM Range | 9.15 - 9.15 GB | 5 - 5 GB |
| Quantizations | 1 options | 1 options |
| Best Quality Score | 95% | 85% |
Quantization Options
Stable Diffusion 3 Medium (GGUF)
SDXL Turbo (GGUF)
In-depth comparison
For the typical user, Stable Diffusion 3 Medium (GGUF) is the better choice due to its superior text rendering capabilities. However, users with limited VRAM should consider SDXL Turbo (GGUF) for its lower memory requirements.
When to choose Stable Diffusion 3 Medium (GGUF)
Stable Diffusion 3 Medium (GGUF) is the better pick for users who prioritize high-quality text rendering in their images. This model is ideal for artists and designers who need precise and detailed text in their visual outputs, such as creating posters, book covers, or any project where text clarity is crucial. Despite requiring more VRAM, the superior text handling justifies the extra resources.
When to choose SDXL Turbo (GGUF)
SDXL Turbo (GGUF) is the better pick for users with limited VRAM or those who need near-instant image generation. This model is particularly suitable for creatives who work on consumer-grade GPUs with less than 8GB of VRAM, as it only requires 5.0GB. The single-step process makes it an excellent choice for rapid prototyping and quick iterations, even at the cost of slightly lower image quality.
Quality
Stable Diffusion 3 Medium (GGUF) outperforms SDXL Turbo (GGUF) in terms of output quality, especially in text rendering, with a best quality score of 95% compared to 85%. The additional 1 billion parameters in SD 3 Medium likely contribute to its superior performance, making it the better choice for users who require high-fidelity images.
Performance & hardware fit
Stable Diffusion 3 Medium (GGUF) requires 9.2GB of VRAM, which is significantly higher than the 5.0GB required by SDXL Turbo (GGUF). While SD 3 Medium offers better quality, SDXL Turbo is faster and more suitable for lower-end hardware, making it a better fit for users with limited VRAM.
Use-case fit
| coding | Tie | Both models are primarily designed for image generation and not specifically for coding tasks. |
| creative writing | Stable Diffusion 3 Medium (GGUF) | Stable Diffusion 3 Medium (GGUF) is better suited for creative writing as it can generate higher-quality images with superior text rendering, enhancing the visual representation of written content. |
| RAG / retrieval | Tie | Neither model is specifically designed for retrieval-augmented generation (RAG), so they perform similarly in this context. |
| agent / tool use | SDXL Turbo (GGUF) | SDXL Turbo (GGUF) is more suitable for agent or tool use due to its lower VRAM requirements and faster generation times, making it easier to integrate into automated workflows. |
| running on consumer GPU (8-12GB) | Stable Diffusion 3 Medium (GGUF) | Stable Diffusion 3 Medium (GGUF) is the better choice for consumer GPUs with 8-12GB of VRAM, as it provides higher-quality images despite the higher VRAM requirement. |
| long context (16K+) | Tie | Both models have an unknown context length, so neither has a clear advantage in handling long contexts. |
Stable Diffusion 3 Medium (GGUF) wins for most users due to its superior text rendering and higher quality scores. However, SDXL Turbo (GGUF) is the better choice for users with limited VRAM or those needing faster image generation.