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Here¡¯s a comparison of the three image generation methods we explored.
First, SD1.5 is very fast, taking just 2.94 seconds per inference, with low VRAM usage at 6 GB. However, the image quality is lower, especially for details like hands and faces.
Next, SDXL with translation takes 15.56 seconds, requiring 24 GB of VRAM. While slower and resource-intensive, it produces high-quality images, reflecting prompts and details like hands and faces very well.
Finally, the SD1.5 with SDXL Refiner strikes a balance. It¡¯s faster than SDXL alone, at 4.53 seconds, with moderate VRAM usage of 10 GB. It also delivers excellent detail, particularly in hands and faces.
Each method has its trade-offs in speed, resource usage, and quality. |
IEEE/ICACT20250006 Slide.12
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