---
license: apache-2.0
pretty_name: MOSS and Z-Image quantization benchmarks
language:
- pl
- en
task_categories:
- text-to-image
tags:
- benchmark
- quantization
- image-generation
---

# MOSS-Image-SFT and Z-Image — quantization evidence

**Single research archive** for source-matched generative-image benchmarks: original MOSS-SFT DiT quantizations, original Qwen/VAE precision conversions, Polish glyphs, scene retention and independent Z-Image Turbo runs. Contains authentic PNGs, parameters, seeds, measured latency/allocator values, SHA-256 and diagnostic records. **No speedup or text-correctness claim follows from file size or image similarity alone.**

## How to read these reference examples

These PNG/JPG images and descriptive measurements are **reference examples**, not a
standardized leaderboard or dataset-loader API. Browse the gallery and associated
results in **Files and versions**; reproducing the experiments is **not required**
to try any checkpoint.

Some samples intentionally show misspellings, changed compositions and failed runs.
They are not a certified-quality showcase.

**License and provenance:** This dataset's original curation, generated samples, associated results and metadata are released under **[Apache License 2.0](LICENSE)** by the dataset publisher. The underlying [MOSS-Image-SFT](https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT) and [Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) source models use Apache-2.0. Any third-party content (including the one archived historical HF comparison sheet in historical_references/) is supplied as reference material; **its pre-existing rights are not relicensed** by this dataset. Users should verify rights before independently redistributing third-party imagery.

Results depend on the hardware, sampler, step count, seed, encoder and precision.
Do not merge the original 50-step SFT, experimental 10-step DPM++2M and four-step
student-adapter trials into one speed or image-quality ranking. PSNR, SSIM and
LPIPS indicate divergence from a reference; they do not score Polish spelling,
readability, aesthetics or compatibility with a new GPU.

All eleven component releases are experimental. See each model card for
format-specific validation gaps and further-testing recommendations. Missing native-kernel
validation means unverified on the recorded setup, not a universal incompatibility.

## Checkpoint comparison

All eight DiT files derive from [OpenMOSS-Team/MOSS-Image-SFT](https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT) at `fc5de0d56fc910cbca6f6625a70f5f582b26deb1` and preserve the original model (50-step reference). All use actual TorchAO checkpoint serialization, **not** a student/LoRA export.

| DiT checkpoint | Weight GiB | Quantized Linear | Reference evidence and testing status |
|---|---:|---:|---|
| [INT8-WO-Core](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-INT8-WO-Core) | 5.470 | 228/269 | 5 SFT50 pairs; broader text/visual testing recommended |
| [FP8-WO-Core](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Core) | 5.463 | 228/269 | 5 SFT50 pairs; broader text/visual testing recommended |
| [FP8-WO-Max](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Max) | 4.739 | 269/269 | 5 SFT50 pairs; broader visual testing recommended |
| [FP8-W8A8-Row-Core](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-FP8-W8A8-Row-Core) | 5.464 | 228/269 | Original SFT50 image test unavailable; native runtime requires testing |
| [FP8-W8A8-Row-Max](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-FP8-W8A8-Row-Max) | 4.739 | 269/269 | Original SFT50 image test unavailable; native runtime requires testing |
| [FP8-W8A8-Tensor-Core](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-FP8-W8A8-Tensor-Core) | 5.459 | 228/269 | 4 original SFT50 images on SM120; additional tests required |
| [NVFP4-Core](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-NVFP4-Core) | 3.706 | 228/269 | No validated native FP4 SFT50 images; native runtime requires testing |
| [NVFP4-Max](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-NVFP4-Max) | 2.663 | 269/269 | No validated native FP4 SFT50 images; native runtime requires testing |

BF16 original DiT storage: **9.467 GiB**. Storage size is **not** full pipeline size, resident GPU VRAM or execution throughput. W8A8 and NVFP4 native kernel support was missing in the recorded SM80 original-50-step benchmark, not on every GPU universally.

Independent original components: [Qwen FP8-WO](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-Qwen3.5-FP8-WO), [VAE FP16](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-VAE-FP16), [VAE BF16](https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-VAE-BF16).

## Original full SFT — 50-step, seed-matched smoke test

**5 images** at 1024px, CFG 3 and seed 42, original model sampler, CMP 170HX / SM80. Median latency and peak *allocated* CUDA are scope-specific; quality metrics measure distance to BF16.

| Checkpoint | Median s/image | Peak CUDA allocated GiB | SSIM vs BF16 ↑ | LPIPS ↓ |
|---|---:|---:|---:|---:|
| BF16 original | 53.176 | 12.542 | Reference | Reference |
| INT8-WO Core | 58.824 | 8.544 | 0.89499 | 0.05729 |
| FP8-WO Core | 63.361 | 8.538 | 0.84926 | 0.08454 |
| FP8-WO Max | 65.320 | 7.816 | 0.78998 | 0.10494 |

![All eight original model quantizations: only measured outputs displayed; missing results explicitly marked](research/moss50-20261021/grids/REAL_IMAGE_COMPARISON_GRID.png)

[Further source-matched grids and absolute difference maps](https://huggingface.co/datasets/WiktorMatuszek/moss-zimage-quantization-benchmarks/tree/main/research/moss50-20261021/grids).

## Independent experimental 10-step study

**DPM++2M10, 1024px, CFG 3, seed 42; 16 real images per variant.** Not the original 50-step SFT protocol and not the 4-step student adapter. Same CMP 170HX / SM80 environment.

| DiT | Median s/image | Median CUDA reserved GiB | SSIM vs BF16 ↑ | Learned LPIPS ↓ |
|---|---:|---:|---:|---:|
| Original BF16 | 11.029 | 14.156 | Reference | Reference |
| INT8-WO Core | 12.074 | 10.344 | 0.9097 | 0.053268 |
| FP8-WO Core | 12.991 | 10.490 | 0.8559 | 0.073368 |

On this setup the packed models saved reserved CUDA memory but did **not** beat BF16 on runtime. Other GPU/kernel choices need distinct measurements.

![True generated Polish letters: BF16 vs INT8 vs FP8 at identical prompts and seed](research/turbo10-20261022/images/pl_exact_original_images_1024.jpg)

![True photo scene retention for same-seed BF16 versus quantizations](research/turbo10-20261022/images/scene_retention_original_images_1024.jpg)

[All 32 paired image scores](research/turbo10-20261022/data/ALL_PAIR_METRICS.csv) · [pretrained LPIPS](research/turbo10-20261022/data/LPIPS_PRETRAINED_PAIR_REPORT.json) · [complete aggregate limitations](research/turbo10-20261022/data/TURBO10_QUANT_PAIR_RESULT.json).

## Raw generation archive (other GPU and Z-Image)

`runs/moss-image-20261021/` holds a separate RTX 5060 Ti experiment with original 50-step MOSS-SFT, four-step student adapters, two-step kernel probes, native/high-resolution generations, upscales, and independent Z-Image Turbo API outputs. **These have different timing scopes, sampling policies and conditioning environments. They are not one homogeneous benchmark**. Historical reference discrepancy on “RIVER BAKERY” also occurred with original BF16 under local runtime controls; it is not evidence that quantization alone caused the issue.

| Subset | Images | Purpose |
|---|---:|---|
| `quality` | 268 | Original generated outputs and parameters |
| `upscales` | 157 | Upscaled images plus parent references |
| `diagnostics` | 12 | Technical execution probes (not output-quality evidence) |
| `historical_references` | 1 | Archived comparison reference (not current-device latency) |

`runs/moss-image-20261021/records/measurements.jsonl` preserves raw successful and failed attempts. `quality/metadata.jsonl` preserves image hashes, expected text, model/precision, steps/CFG, seed, GPU and timings where measured; missing values remain null.

**Limitations:** PSNR/SSIM/LPIPS measure similarity to a reference PNG, **not** correctness of Polish characters, naturalness, real-world image quality or independent blind human preference. Store original component hashes, exact sampling protocol and device details with any derived figure. This repository is private research evidence, not a validated public model-quality leaderboard.

**Research suites and sanitized diagnostics.** The [50-step prompt suite](research/moss50-20261021/benchmark_suite.json) and [style benchmark suite](research/moss50-20261021/style_benchmark_suite.json) are stored once here, rather than repeated across eight checkpoint repos. A [compact compatibility summary](research/device-compatibility-20261021/summary.json) accompanies raw individual runs. Server filesystem prefixes in diagnostics were redacted; numeric results, prompts, SHA-256 image hashes and status fields remain. Dataset remains private pending separate image-rights review.