FLUX.1 Schnell (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.
Black Forest Labs
FLUX.1 Schnell (GGUF)
12B params
Image GenerationStability AI
SDXL Turbo (GGUF)
3.5B params
Image GenerationSpecifications Comparison
| Spec | FLUX.1 Schnell (GGUF) | SDXL Turbo (GGUF) |
|---|---|---|
| Parameters | 12B | 3.5B |
| Architecture | rectified-flow | unet-diffusion |
| License | Apache 2.0 | stability-community |
| Context Length | N/A | N/A |
| Category | Image Generation | Image Generation |
| Author | Black Forest Labs | Stability AI |
| HF Downloads | 573.8K | 1.1M |
| VRAM Range | 14 - 14 GB | 5 - 5 GB |
| Quantizations | 1 options | 1 options |
| Best Quality Score | 90% | 85% |
Quantization Options
FLUX.1 Schnell (GGUF)
SDXL Turbo (GGUF)
In-depth comparison
FLUX.1 Schnell (GGUF) is the better choice for users with more powerful hardware due to its superior quality score and state-of-the-art performance, while SDXL Turbo (GGUF) is ideal for those needing fast, efficient image generation with lower VRAM requirements.
When to choose FLUX.1 Schnell (GGUF)
FLUX.1 Schnell (GGUF) is the better pick for users who prioritize image quality and are willing to invest in higher-end hardware. With a 90% quality score and a 12 billion parameter count, it delivers state-of-the-art results, making it ideal for professional creatives and artists who require highly detailed and contextually relevant images. The model's rectified-flow architecture ensures that the generated images are not only visually appealing but also semantically accurate, which is crucial for projects requiring precision.
When to choose SDXL Turbo (GGUF)
SDXL Turbo (GGUF) is the better choice for users who need a fast, efficient solution that can run on less powerful hardware. With a minimum VRAM requirement of just 5.0GB and a single-step generation process, it is well-suited for users with consumer-grade GPUs and those who need near-instant image generation. Despite having a slightly lower quality score of 85%, it still produces high-quality images, making it a practical option for quick prototyping and iterative design work.
Quality
FLUX.1 Schnell (GGUF) outperforms SDXL Turbo (GGUF) in terms of output quality, with a best quality score of 90% compared to 85%. The larger parameter count (12 billion vs. 3.5 billion) and advanced rectified-flow architecture contribute to FLUX.1 Schnell's ability to generate more detailed and contextually accurate images. However, the difference in quality may not be significant enough for all users, especially those prioritizing speed and efficiency.
Performance & hardware fit
FLUX.1 Schnell (GGUF) requires a minimum of 14.0GB of VRAM, making it suitable for users with high-end GPUs, while SDXL Turbo (GGUF) only needs 5.0GB of VRAM, fitting well within the capabilities of consumer-grade hardware. FLUX.1 Schnell's 1-4 step generation process is faster than traditional multi-step models but slower than SDXL Turbo's single-step generation, which offers near-instant results.
Use-case fit
| coding | Tie | Both models are primarily designed for image generation and do not have specific features tailored for coding tasks. |
| creative writing | Tie | Neither model is specifically optimized for creative writing; they are both focused on text-to-image generation. |
| RAG / retrieval | Tie | Neither model is designed for retrieval-augmented generation (RAG) tasks; they are specialized in image generation. |
| agent / tool use | SDXL Turbo (GGUF) | SDXL Turbo's low VRAM requirement and fast generation time make it more suitable for integration into agents or tools that need to quickly generate images. |
| running on consumer GPU (8-12GB) | SDXL Turbo (GGUF) | SDXL Turbo's 5.0GB VRAM requirement makes it a better fit for consumer GPUs with limited memory, whereas FLUX.1 Schnell requires 14.0GB of VRAM. |
| long context (16K+) | Tie | Both models are designed for image generation and do not have specific capabilities for handling long contexts in text-to-image tasks. |
FLUX.1 Schnell (GGUF) wins for most users due to its superior image quality and state-of-the-art performance, making it ideal for professional creatives. However, SDXL Turbo (GGUF) is the clear winner for users with limited VRAM or those needing fast, efficient image generation.