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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