Document released image diversity prompts and noise

README.md

@@ -219,10 +219,38 @@ ODE steps with boundaries `[.999, .937, .833, .624, 0]`, no student CFG,
 81 frames at 832×480, 16 FPS and BF16. The teacher reference uses 50 UniPC
 steps, CFG 5 and shift 5. ReSeed is active only in the first student step.
 
+## Evaluation prompts and noise
+
+The image diversity evaluation uses **100 COCO prompts × 10 noise seeds**:
+
+- [100 prompts](evaluation/diversity_100x10/prompts.txt)
+- [1,000 prompt/seed cases](evaluation/diversity_100x10/prompt_seed_cases.csv)
+- [Noise generator](evaluation/diversity_100x10/generate_noise.py) and [protocol](evaluation/diversity_100x10/protocol.json)
+
+These inputs are shared by SD3-Medium, SD3.5-Medium and SenseFlow-FLUX at
+1024×1024. Case `i` uses seed `2026081900 + i`. Each noise tensor has shape
+`[16, 128, 128]`, drawn on CPU in FP32 before the model's BF16 cast or FLUX
+packing. We publish the seeds and generator rather than 1 GB of tensor files.
+Use PyTorch 2.6.0 to reconstruct the reference inputs:
+
+```bash
+hf download Wenwu2000/ReSeed --revision main --local-dir reseed-weights \
+  --include "evaluation/diversity_100x10/*"
+
+# Export one case; omit --case to export all 1,000 tensors (about 1 GB).
+python reseed-weights/evaluation/diversity_100x10/generate_noise.py \
+  --case 0 --output evaluation-noise-case0
+```
+
+The export includes a SHA-256 hash of every generated FP32 tensor. This is
+the image diversity bank, not the COCO5K quality bank or Wan video inputs.
+The case records match the original evaluation list; only CRLF line endings
+have been changed to LF for this release, with both hashes in the protocol.
+
 ## Files and licenses
 
 The release contains inference weights, not optimizer state, fake-score
-models, public teacher weights, datasets or generated samples. Text encoders
+models, public teacher weights or generated samples. Text encoders
 and VAEs come from the linked base models. File hashes, pinned source
 revisions and checkpoint pairings are recorded in `release_manifest.json`;
 its branch and visibility fields describe the original private release.