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license: apache-2.0
tags:
- diffsynth
- controlnet
- fp8
- cyrillic
- benchmark
---
# Qwen-Image Cyrillic FP8 reproducibility configuration
Configuration and proof bundle for:
- `777Radik/Qwen-Image-2512-FP8-E4M3FN`
- `777Radik/Qwen-Image-Cyrillic-ControlNet`
Files:
- `training-config.json` — ControlNet training inputs, hashes, and hyperparameters
- `runtime-config.json` — component repositories, precision, generation, and retry settings
- `benchmark-config.json` — immutable heldout100 command and quality gates
- `benchmark-results.json` — BF16/FP8 metrics and manual audit result
- `quantization-manifest.json` — per-shard source/output hashes
- `controlnet_benchmark.py` — exact generation harness
- `controlnet_accuracy.py` — OCR/glyph diagnostic and contact-sheet generator
- `verify_hf_release.py` — remote LFS size/SHA-256 and required-file verifier
The accepted production result is 99/100 manual exact Cyrillic on the fixed benchmark.
FP8 regression is zero: all 100 quantized outputs are byte-for-byte identical to the
source-storage run.
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