I recently tested LCM (Latent Consistency Model) on my old setup:

• GPU: GTX 750 Ti 4GB
• CPU: Intel i5-4590
• RAM: 16GB

For those unfamiliar, Latent Consistency Model (LCM) is a technique that allows Stable Diffusion models to generate images in far fewer steps while maintaining acceptable quality. It is especially useful for users with low-VRAM GPUs who want faster image generation.

One thing worth noting is that there are two types of LCM implementations:

1. LCM-baked models – LCM is already integrated into the checkpoint. You only need to select an LCM sampler and generate images.
2. Standard models with LCM LoRA – These models require loading an LCM LoRA in addition to the checkpoint and using an LCM-compatible sampler.

Performance Results

On my aging hardware, the results were surprisingly good.

• First model load in ComfyUI: approximately 30 seconds
• Subsequent generations: around 12–15 seconds
• 4-step generation: very fast
• 8-step generation: approximately 23 seconds

While image quality is not on the same level as higher-step generations, the results are still quite decent for quick previews, concept art, and experimentation.

Conclusion

LCM is an excellent option if:

• You have an older or low-VRAM GPU.
• You want much faster generation times.
• You can accept a slight reduction in image quality.

One reason this still works on my GTX 750 Ti is that ComfyUI continues to support older CUDA-compatible GPUs, including the GTX 750, 900-series, and many 10-series cards. This makes it possible to keep older hardware useful for AI image generation without needing an expensive upgrade.

Overall, I was pleasantly surprised that a 10+ year-old GTX 750 Ti can still produce usable AI-generated art at reasonable speeds when paired with LCM.