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CyberRealistic V5 Technical Benchmark: Sampling Mathematics, CFG Sweet-Spots & Scaling

CHECKPOINT BENCHMARK • CYBERREALISTIC V5

CyberRealistic V5 Technical Benchmark: Sampling Mathematics, CFG Sweet-Spots & Scaling

An empirical laboratory comparison of diffusion schedulers, step count decay curves, and optical upscaling ratios configured specifically for the CyberRealistic V5 FP16 architecture.

1. The Sampler Comparison: Why DPM++ 2M SDE Karras Wins

In stochastic diffusion, samplers approximate the reverse ODE trajectory through Gaussian noise. Our laboratory tests revealed:

Euler a (Ancestral)
Stochastic and dynamic, but does not converge. At high steps (>35), details drift and facial features morph between seeds.

DPM++ 2M Karras
Fast second-order convergence, but can produce slightly flat micro-contrast on complex hair and skin pores.

DPM++ 2M SDE Karras (WINNER)
Injects controlled stochastic noise at each step with Karras noise scheduling. Delivers the most authentic organic skin pores and 35mm grain.

2. CFG Scale Sweet-Spot Analysis

Classifier-Free Guidance (CFG) dictates how aggressively the model obeys your prompt:

• CFG < 4.5: Muted colors, washed-out shadows, lacks crisp edge definition.
• CFG 5.5 – 6.5 (Optimal Sweet-Spot): Peak photographic realism, natural contrast latitude, pure skin specular roll-off.
• CFG > 8.0: Harsh burned saturation, crunchy edges, synthetic high-contrast halos around hair.


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