tl;dr

Animetic Synapse v1.7g is a targeted U-Net bug-fix release built with SuperMerger Adjust. Compared to v1.7e, it reduces cyan/green tint contamination and improves local contrast recovery, especially in scenes where pale surfaces, dark boundaries, or neighboring materials were flattening together. Using Civitai user lizardon1024’s public benchmark set as a third-party comparison, the strongest correction appears in Zelda Kiss and Forest Angel, while Library Catgirl shows more nuanced but still meaningful dark-region boundary recovery. The goal of v1.7g was not to reinvent the model, but to preserve Animetic Synapse’s identity while correcting visible failure modes.

Animetic Synapse v1.7g Bug-Fix Release:

Tint Correction and Improved Local Contrast Recovery

Disclosure: This article was generated with ChatGPT, current model GPT-5.4 Thinking, and then reviewed and edited [I skimmed it] by the model owner for accuracy, tone, and final wording. The benchmark images referenced herein are public third-party comparison images, and full credit for the benchmark format, prompts, and posting workflow belongs to lizardon1024.

Animetic Synapse v1.7g is a targeted bug-fix release wrought through U-Net adjustment, not a wholesale remaking of the base model. The aim was plain enough, though the path thereto required a steadier hand: to correct a visible tint bias present in v1.7e, and thereafter to improve local contrast and boundary recovery without disturbing the model’s essential character.

This was not a VAE swap, nor a fresh merge contrived to masquerade as progress, nor yet a style pivot wearing the garments of a minor version bump. Rather, it was a deliberate and surgical pass using SuperMerger’s Adjust function to address two specific faults: color drift and weak local separation in certain regions.

An intermediate build, v1.7f, existed only as a tint-correction pass and was never published. v1.7g carries that correction forward and adds further U-Net adjustments to Detail/Noise and Contrast/Detail.

Benchmark Source and Due Credit

The comparison images used here come from lizardon1024, whose public ILXL / NAI-XL benchmark set provides a consistent four-image comparison across a great many models. That consistency is precisely why it is of value here. Rather than leaning upon hand-picked showcase generations of mine own, I sought a public third-party benchmark that applied the selfsame scene set broadly, plainly, and in full view.

The benchmark framework is described in their article, ILXL (Illustrious-XL) / NAI-XL (NoobAI-XL) model comparison.

The specific public comparison images used for this changelog are the posted benchmark images for Animetic Synapse v1.7e and Animetic Synapse v1.7g.

After testing and posting so formidable a number of model comparisons, lizardon1024 hath furnished the community with something many quietly benefit from, even when they fail to say so aloud. For that consistency, and for the public record it affords, I offer sincere thanks. It spareth others from wandering blind through a fog of one-off showcase images and mistaking accident for rigor.

Side-by-Side Benchmark Comparison

What Changed

Using SuperMerger Adjust, I targeted two classes of behavior.

1. Tint Correction

v1.7e showed a recurring cyan / green contamination in scenes where the rendering ought to have remained more neutral. This appeared most clearly in bright outdoor light, pale surfaces, and certain skin-adjacent transitions, as can be seen by comparing the public benchmark images side by side.

2. Detail / Local Contrast Recovery

After correcting the tint, I adjusted the U-Net’s Detail/Noise and Contrast/Detail behavior so as to improve small structural separations and recover weak local contrast. The intention was not to make every image louder, harsher, or more brittle for the sake of spectacle. It was to help neighboring materials and boundaries survive generation more cleanly, instead of collapsing together into one muddled mass.

That distinction matters. Crunch is not clarity, and edge noise is no true substitute for form.

Why This Benchmark Works

Lizardon ’s four-image benchmark is unusually well suited to exposing the very behaviors I changed:

Zelda Kiss stresses cyan-heavy daylight, saturated blues, skin, hair, and outdoor color balance.
Portrait stresses facial neutrality, skin tone, and soft micro-contrast.
Forest Angel stresses whites, bloom, wings, glow, and light-on-light separation.
Library Catgirl stresses warm low-light structure, dark clothing, black fur, and subtle boundary recovery in shadow-heavy scenes.

This spread is useful because it compels the model to reveal itself under differing chromatic and structural burdens. Tint drift, weak local separation, and low-contrast flattening do not remain hidden long in such company.

What Changed Visually

Tint Bias Correction

The most obvious correction in Animetic Synapse v1.7g is color balance.

In v1.7e, certain scenes leaned too far into cyan / green contamination. In v1.7g, that drift is reduced, especially where cool highlights and pale materials were previously pushing the image away from neutrality.

The strongest correction appears in Zelda Kiss, where the newer version moves away from green contamination and from cyan-heavy rendering. In Lab color space, the median shift for that tile is approximately:

Δa* = +4.69
Δb* = +2.78

That is a real vector shift, not a warm bath of subjective enthusiasm. In Lab terms:

positive Δa* means the image moved away from green
positive Δb* means the image moved away from blue / cyan and toward yellow / warmth

Forest Angel also moves in that same direction:

Δa* = +0.84
Δb* = +1.70

That accords with the visible result in the posted comparison: cleaner whites, less green contamination, and more natural separation betwixt dress, wings, and glow.

Portrait changes much less, which is a virtue rather than a fault. The purpose of the fix was not to warm every image indiscriminately, as though color correction were a hammer and every face a nail. The intent was to correct the places where v1.7e was visibly astray.

Local Contrast and Structure Recovery

This is the second half of the release, and it is where v1.7g becomes more than a mere tint patch.

The newer build recovers local structure that was weaker or more merged in v1.7e. Several examples stand out in the public benchmark images:

In Forest Angel, the necklace now interrupts the white dress more clearly, instead of being half-swallowed by the bright fabric.
In Library Catgirl, the cat’s white markings break up the dark mass more decisively, improving readability instead of allowing dark-on-dark forms to collapse together.
In Zelda Kiss, the male elf hand reads more cleanly as skin against adjacent forms, which suggests stronger boundary separation and local contrast rather than generic oversharpening.

This is the sort of gain I wanted. Not merely “more detail,” which is a phrase too often used to flatter noise, but better material separation and more faithful local boundaries.

Measurement and Supporting Evidence

To support the changelog with something more solid than eyeballing, I [had ChatGPT measure] the benchmark pair using both color-space analysis and structure/detail metrics derived from the same two public benchmark images.

Detail / Structure Ratios by Tile

Zelda Kiss

Tenengrad ratio: 1.058
Laplacian ratio: 1.062
High-frequency ratio: 1.042

Portrait

Tenengrad ratio: 1.110
Laplacian ratio: 1.029
High-frequency ratio: 1.018

Forest Angel

Tenengrad ratio: 1.113
Laplacian ratio: 1.112
High-frequency ratio: 1.111

These values are measured as v1.7g / v1.7e, so values above 1.0 indicate stronger retained structure in the newer version.

Library Catgirl

Tenengrad ratio: 0.962
Laplacian ratio: 1.136
High-frequency ratio: 1.095

That darker tile is more nuanced. It does not simply become globally “sharper” in the average-gradient sense, but it does gain stronger fine boundaries and higher-frequency structure where it matters. That matches the visible improvement in shelf edges, cat fur breakup, and dark-region material separation in the benchmark pair.

Supporting Charts

3D Lab color-space shift between Animetic Synapse v1.7e and v1.7g:
Cyan marks v1.7e and warm amber marks v1.7g. Solid arrows show the measured shift for each benchmark prompt, while the dotted continuation extends the same vector to emphasize directional slope through color space. The animation sweeps azimuth and elevation to make changes in L*, a*, and b* more legible as parallax rather than flattening them into a single 2D view.
Local detail response shift between Animetic Synapse v1.7e and v1.7g:

Cyan marks v1.7e and warm amber marks v1.7g. Each panel compares the distribution of edge-conditioned local high-pass responses for a benchmark prompt, showing how much detail energy resides in weaker versus stronger local responses. The faint delta bars indicate where histogram mass shifts between versions, making it easier to see whether v1.7g reallocates detail toward stronger boundary-local structure rather than merely increasing global sharpness.

What This Release Is and Is Not

This release is a bug-fix pass, not an aesthetic identity crisis in a trench coat.

It doth not attempt to reinvent Animetic Synapse. It doth not chase every taste preference at once. It doth not brute-force detail by turning the whole image into noisy glitter and calling the matter solved.

What it doth, rather, is more disciplined:

reduce cyan / green contamination where it was visibly present
improve local contrast and structure recovery where forms were collapsing together
preserve the existing character of the model while correcting obvious failure modes

That is why Animetic Synapse v1.7g is best described as a cleanup release, not a style reset.

Why Use a Third-Party Benchmark

A benchmark like this is never perfect for every model, yet that is also the point. Its worth lies not in being tuned for Animetic Synapse, but in not being tuned for Animetic Synapse.

These are public third-party generations using a known, repeated benchmark framework. That makes them much more useful as changelog evidence than a hand-curated set of ideal seeds produced only within my own workflow. The change shows up outside my private sandbox, which makes the result more credible and a touch harder for self-flattery to counterfeit.

Bottom Line

Animetic Synapse v1.7g fixes a real tint issue present in v1.7e, especially in cyan-heavy and white-heavy scenes, and also improves local contrast / boundary recovery in a way that helps adjacent materials separate more clearly.

Zelda Kiss shows the strongest color correction.
Forest Angel shows the clearest combined gain in color neutrality and structure recovery.
Portrait benefits without being pushed unnaturally.
Library Catgirl shows more nuanced but still meaningful improvement in dark-region boundary recovery.

That is the change I wanted: not louder, not harsher, not cosmetically altered for novelty’s sake, but cleaner where the older build was wrong.