Inconsistency and intrinsic difficulty of different diffusion-based generative AI models. Classification error rate and obtained with EfficientNetv2 small.
| Testing Training | FLUX.l-schnell | Stable Diffusion 3 | SD XL Turbo | Wuerstchen | Kandinsky 2.2 |
|---|---|---|---|---|---|
| FLUX.l-schnell | 0.91% | 4.83% | 23.18% | 9.09% | 5.43% |
| Stable Diffusion 3 | 5.63% | 1.51% | 16.69% | 4.60% | 6.27% |
| SD XL Turbo | 18.73% | 31.76% | 1.29% | 23.30% | 24.05% |
| Wuerstchen | 16.12% | 18.87% | 22.21% | 0.61% | 16.69% |
| Kandinsky 2.2 | 9.13% | 9.57% | 21.78% | 6.40% | 1.26% |
| Testing Training | FLUX.l-schnell | Stable Diffusion 3 | SD XL Turbo | Wuerstchen | Kandinsky 2.2 |
|---|---|---|---|---|---|
| FLUX.l-schnell | 0.91% | 4.83% | 23.18% | 9.09% | 5.43% |
| Stable Diffusion 3 | 5.63% | 1.51% | 16.69% | 4.60% | 6.27% |
| SD XL Turbo | 18.73% | 31.76% | 1.29% | 23.30% | 24.05% |
| Wuerstchen | 16.12% | 18.87% | 22.21% | 0.61% | 16.69% |
| Kandinsky 2.2 | 9.13% | 9.57% | 21.78% | 6.40% | 1.26% |
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