meeting-103 R1: 5조합 (Pony·Flux·PuLID·Qwen) — 4/5 ✅ / Qwen 4차 실패

✅ 4 정상 (시각 검수 대기): - 1-1 Pony V6 XL A 별이 (best pastel 42.5%, 검정 0.61%) - 1-2 Flux Dev A 별이 (검정 3.11% 한계 근접) - 1-3 Flux Dev + PuLID A 별이 (별이 ID matching 핵심) - 1-4 Flux Dev B 한옥 (검정 0%, 일본/한국 시각 평가 필수) ❌ 1 실패: - 1-5 Qwen-2512 C 한자카드 (5.5KB) v6 R1 3차 + v2.1 R1 v4 = 총 4차 연속 패턴: EmptyLatent / EmptyQwenLayered / ModelSamplingAuraFlow+SD3Latent / SamplerCustomAdvanced hypothesis: GGUF Q4 + CUDA 13 + PyTorch 2.12 호환성 또는 non-GGUF 필요 자산 라이브러리 갱신: - models-performance.json: 4 모델 등재 + Pony 파스텔 42.5 / Flux 평균 24.9 - failed-patterns.json: qwen-2512-4-attempts 패턴 등재 - 다음 시도: non-GGUF / Lightning LoRA / 다른 sampler/shift scripts/round_pipeline.py 신설 (R2 부터 재사용) eval/meeting-103-grid.html + meta.json 생성 썸네일 의무 충족 (최대 540KB, 모두 1MB 미만)
2026-05-19 21:59:02 +09:00
parent 540a9d0aa6
commit 58016478ec
17 changed files with 609 additions and 2 deletions
--- a/assets-library/models-performance.json
+++ b/assets-library/models-performance.json
@@ -27,5 +27,78 @@
    "illustrious",
    "lightning-lora-qwen"
  ],
-  "models": {}
+  "models": {
+    "pony-v6": {
+      "rounds_used": 1,
+      "dimensions": {
+        "byeolyi": [],
+        "hanja": [],
+        "hanok": [],
+        "illustration": [],
+        "korean_traditional": [],
+        "auto_pastel": [
+          42.5
+        ],
+        "auto_black": [
+          0.61
+        ]
+      },
+      "avg_scores": {},
+      "best_combinations": [],
+      "verdict": ""
+    },
+    "flux-dev": {
+      "rounds_used": 1,
+      "dimensions": {
+        "byeolyi": [],
+        "hanja": [],
+        "hanok": [],
+        "illustration": [],
+        "korean_traditional": [],
+        "auto_pastel": [
+          20.1,
+          29.7
+        ],
+        "auto_black": [
+          3.11,
+          0.0
+        ]
+      },
+      "avg_scores": {},
+      "best_combinations": [],
+      "verdict": ""
+    },
+    "pulid-flux": {
+      "rounds_used": 1,
+      "dimensions": {
+        "byeolyi": [],
+        "hanja": [],
+        "hanok": [],
+        "illustration": [],
+        "korean_traditional": [],
+        "auto_pastel": [
+          30.2
+        ],
+        "auto_black": [
+          0.73
+        ]
+      },
+      "avg_scores": {},
+      "best_combinations": [],
+      "verdict": ""
+    },
+    "qwen-image-2512": {
+      "rounds_used": 1,
+      "dimensions": {
+        "byeolyi": [],
+        "hanja": [],
+        "hanok": [],
+        "illustration": [],
+        "korean_traditional": []
+      },
+      "avg_scores": {},
+      "best_combinations": [],
+      "verdict": "워크플로우 결함 — 5KB 검정 latent (v1~v4 4차 시도 모두 실패)"
+    }
+  }
 }
--- a/assets-library/prompts/failed-patterns.json
+++ b/assets-library/prompts/failed-patterns.json
@@ -1 +1,19 @@
-{}
+{
+  "qwen-image-2512-GGUF-Q4-SamplerCustomAdvanced-v4": {
+    "attempts": 4,
+    "patterns": [
+      "EmptyLatentImage",
+      "EmptyQwenImageLayeredLatentImage",
+      "ModelSamplingAuraFlow+EmptySD3LatentImage",
+      "SamplerCustomAdvanced+ModelSamplingAuraFlow"
+    ],
+    "all_results": "5KB 검정 latent",
+    "hypothesis": "Qwen-Image GGUF Q4_K_S + CUDA 13.0 + PyTorch 2.12 환경 호환성 또는 다른 quant 필요 (Q8/fp16)",
+    "next_attempts": [
+      "non-GGUF Qwen-Image safetensors",
+      "Lightning LoRA 적용",
+      "다른 sampler (dpmpp_2m/ddim)",
+      "다른 shift 값 (1.73/5.0)"
+    ]
+  }
+}
--- a/eval/meeting-103-grid.html
+++ b/eval/meeting-103-grid.html
@@ -0,0 +1,159 @@
+<!DOCTYPE html>
+<html lang="ko"><head><meta charset="utf-8">
+<title>meeting-103 v2.1 — ComfyUI 자율 R&D + 자산 라이브러리</title>
+<style>
+body { font-family: -apple-system, "Pretendard", system-ui, sans-serif; padding: 24px;
+       background: linear-gradient(135deg, #FAF7FF 0%, #FFF0F5 100%); color: #4A3F5C; }
+h1 { color: #4A3F5C; margin-bottom: 6px; font-size: 24px; }
+.subtitle { color: #8B7AAE; font-size: 13px; margin-bottom: 24px; }
+h2 { color: #6B5B8E; margin-top: 32px; border-bottom: 2px solid #DCC9F3; padding-bottom: 6px; font-size: 18px; }
+.summary-box { background: white; border-radius: 14px; padding: 18px 20px; margin: 16px 0;
+               box-shadow: 0 2px 8px rgba(180,140,200,0.15); }
+.summary-box h3 { margin-top: 0; font-size: 15px; }
+.summary-box ul { font-size: 12px; line-height: 1.7; margin: 6px 0; }
+.grid { display: grid; grid-template-columns: repeat(auto-fill, minmax(260px, 1fr)); gap: 12px; margin: 14px 0; }
+.cell { background: white; border-radius: 14px; overflow: hidden; box-shadow: 0 4px 12px rgba(180,140,200,0.18); cursor: pointer; transition: all 0.2s; }
+.cell:hover { transform: translateY(-2px); box-shadow: 0 6px 18px rgba(180,140,200,0.28); }
+.cell img { width: 100%; display: block; aspect-ratio: 9/16; object-fit: cover; }
+.cell.failed { background: linear-gradient(135deg, #fde2e4, #f3e8ff); display: flex; flex-direction: column; align-items: center; justify-content: center; min-height: 200px; padding: 16px; text-align: center; font-size: 12px; color: #6F2D2D; }
+.label { padding: 10px 12px; font-size: 12px; }
+.label-title { font-weight: 600; color: #4A3F5C; margin-bottom: 4px; }
+.label-meta { color: #8B7AAE; font-size: 11px; line-height: 1.5; }
+.label-auto-eval { color: #4A3F5C; font-size: 11px; margin-top: 6px; padding: 6px; background: #F5F0FF; border-radius: 6px; line-height: 1.5; }
+.label-flags { margin-top: 6px; }
+.flag { display: inline-block; padding: 2px 8px; border-radius: 10px; font-size: 10px; margin-right: 4px; }
+.flag-vision { background: #FFF4D0; color: #8B6F1A; }
+.flag-suspicious { background: #FFD9D9; color: #8B1A1A; }
+.flag-pass-auto { background: #D5F0D5; color: #1A6F1A; }
+.modal { display: none; position: fixed; top: 0; left: 0; width: 100%; height: 100%; background: rgba(74,63,92,0.92); z-index: 999; cursor: zoom-out; }
+.modal img { max-width: 92%; max-height: 92%; margin: 4% auto; display: block; border-radius: 8px; }
+</style></head>
+<body>
+
+<h1>meeting-103 v2.1 — ComfyUI 자율 R&D</h1>
+<div class="subtitle">
+  3-stage 파이프라인 · 14 모델 풀 (9 설치 / 4 미설치) · 자산 라이브러리 7종 누적 ·
+  합격 기준: 별이 ≥8 · 한자 ≥4.5 · 한옥 ≥4.5
+</div>
+
+<div class="summary-box">
+  <h3>📊 R1 진행 상태</h3>
+  <ul>
+    <li>✅ 4/5 정상: Pony A · Flux Dev A · Flux+PuLID A · Flux Dev B</li>
+    <li>❌ 1/5 실패: <strong>Qwen-2512 C 한자카드 (5.5KB)</strong> — SamplerCustomAdvanced v4 도 실패, 4차 연속</li>
+    <li>자동 best pastel: 1-1 (Pony) 42.5%</li>
+    <li>시각 검수 필수 (별이 정합성·한자·한옥 자동 평가 미커버)</li>
+  </ul>
+</div>
+
+<div class="summary-box">
+  <h3>🎯 자산 라이브러리 R1 누적</h3>
+  <ul>
+    <li>models-performance.json: 4 모델 등재 (pony-v6 / flux-dev / pulid-flux / qwen-image-2512)</li>
+    <li>workflows: 시각 평가 후 winner/partial 분류 (현재 0)</li>
+    <li>prompts/failed-patterns: <strong>qwen-2512 4차 실패 패턴 등재</strong> (다음 시도: non-GGUF / Lightning LoRA / 다른 sampler)</li>
+    <li>design-tokens: 합격 시 추출 (현재 0)</li>
+    <li>loras: 별이 ≥7 + 3라운드+ + 8 미달 시 자동 학습</li>
+  </ul>
+</div>
+
+<h2>라운드 1 — A 별이 (3 모델 비교)</h2>
+<div class="grid">
+  <div class="cell" onclick="zoom(this)"><img src="../results/meeting-103/round1/1-1_thumb.png" data-original="../results/meeting-103/round1/1-1.png" alt="1-1">
+    <div class="label">
+      <div class="label-title">1-1: Pony V6 XL A 별이</div>
+      <div class="label-meta">model=pony-v6, steps=28, cfg=7, sampler=dpmpp_2m karras, seed=42, 768×1344</div>
+      <div class="label-auto-eval">
+        자동 평가:<br>
+        - 크기: 1501KB ✓<br>
+        - 검정: <strong>0.61%</strong> ✓<br>
+        - 파스텔: <strong>42.5%</strong> (R1 1위)<br>
+        - 별이 8/10 · 한복 정합성 · Cute Horror — 시각 평가 필요
+      </div>
+      <div class="label-flags">
+        <span class="flag flag-pass-auto">auto-pass</span>
+        <span class="flag flag-vision">vision-check</span>
+      </div>
+    </div></div>
+  <div class="cell" onclick="zoom(this)"><img src="../results/meeting-103/round1/1-2_thumb.png" data-original="../results/meeting-103/round1/1-2.png" alt="1-2">
+    <div class="label">
+      <div class="label-title">1-2: Flux Dev A 별이 (text only)</div>
+      <div class="label-meta">model=flux-dev Q5 GGUF, steps=25, cfg=1, guidance=3.5, FluxGuidance, seed=42</div>
+      <div class="label-auto-eval">
+        자동 평가:<br>
+        - 크기: 1121KB ✓<br>
+        - 검정: <strong>3.11%</strong> ⚠️ (DESIGN.md §10 한계 근접)<br>
+        - 파스텔: 20.1%<br>
+        - 별이 정합성 — 시각 평가
+      </div>
+      <div class="label-flags">
+        <span class="flag flag-suspicious">black-3pct</span>
+        <span class="flag flag-vision">vision-check</span>
+      </div>
+    </div></div>
+  <div class="cell" onclick="zoom(this)"><img src="../results/meeting-103/round1/1-3_thumb.png" data-original="../results/meeting-103/round1/1-3.png" alt="1-3">
+    <div class="label">
+      <div class="label-title">1-3: Flux Dev + PuLID A 별이 ⭐</div>
+      <div class="label-meta">model=flux-dev + PuLID weight=0.85 fusion=mean, ref=byeolyi-default-768x1344, end_at=0.8</div>
+      <div class="label-auto-eval">
+        자동 평가:<br>
+        - 크기: 1065KB ✓<br>
+        - 검정: 0.73% ✓<br>
+        - 파스텔: 30.2%<br>
+        - <strong>별이 얼굴 ID matching 핵심</strong> — 시각 평가 필수
+      </div>
+      <div class="label-flags">
+        <span class="flag flag-pass-auto">auto-pass</span>
+        <span class="flag flag-vision">vision-id-check</span>
+      </div>
+    </div></div>
+</div>
+
+<h2>라운드 1 — B 한옥</h2>
+<div class="grid">
+  <div class="cell" onclick="zoom(this)"><img src="../results/meeting-103/round1/1-4_thumb.png" data-original="../results/meeting-103/round1/1-4.png" alt="1-4">
+    <div class="label">
+      <div class="label-title">1-4: Flux Dev B 한옥 (text only)</div>
+      <div class="label-meta">model=flux-dev Q5 GGUF, NOT japanese / pagoda / wabi-sabi negative, seed=42</div>
+      <div class="label-auto-eval">
+        자동 평가:<br>
+        - 크기: 1724KB ✓<br>
+        - 검정: <strong>0.0%</strong> ✓ (완벽)<br>
+        - 파스텔: 29.7%<br>
+        - 한옥 vs 일본 구분 — 시각 평가 필수
+      </div>
+      <div class="label-flags">
+        <span class="flag flag-pass-auto">auto-pass</span>
+        <span class="flag flag-vision">korean-vs-japanese</span>
+      </div>
+    </div></div>
+</div>
+
+<h2>라운드 1 — C 60갑자 한자카드</h2>
+<div class="grid">
+  <div class="cell failed">
+    <strong>1-5: Qwen-2512 C 한자카드 ❌</strong>
+    <br>5.5KB 검정 latent 실패<br>(v6 R1 3차 + 본 R1 v4 = 총 4차 연속)
+    <br><br>워크플로우 패턴:<br>SamplerCustomAdvanced + ModelSamplingAuraFlow + EmptySD3LatentImage
+    <br><br>다음 시도 (R2):<br>non-GGUF safetensors / Lightning LoRA / 다른 sampler/shift
+  </div>
+</div>
+
+<div class="summary-box">
+  <h3>🔗 검수 채널</h3>
+  <ul>
+    <li>1순위 Vault: D:\Vault\8460s-image-rd\eval\meeting-103-grid.html (Syncthing 동기화 후)</li>
+    <li>2순위 Gitea raw: <code>https://kakao-kakao2-server.tail31bd37.ts.net/choijaewook/8460s-image-rd/raw/branch/main/eval/meeting-103-grid.html</code></li>
+    <li>썸네일 의무 충족 (모든 cell 1MB 미만, 최대 540KB)</li>
+  </ul>
+</div>
+
+<div class="modal" id="modal" onclick="this.style.display='none'"><img id="modal-img"></div>
+<script>
+function zoom(el) {
+  const orig = el.querySelector('img').dataset.original || el.querySelector('img').src;
+  document.getElementById('modal-img').src = orig;
+  document.getElementById('modal').style.display = 'block';
+}
+</script>
+</body></html>
--- a/eval/meeting-103-meta.json
+++ b/eval/meeting-103-meta.json
@@ -0,0 +1,84 @@
+{
+  "session": "meeting-103-v2.1",
+  "started_at": "2026-05-19T21:47:00+09:00",
+  "current_round": 1,
+  "rounds": [
+    {
+      "round": 1,
+      "name": "초기 매트릭스 (5 조합)",
+      "status": "completed",
+      "combinations": [
+        {
+          "id": "1-1",
+          "model": "pony-v6",
+          "prompt_set": "A",
+          "status": "OK",
+          "auto_eval": {
+            "size_kb": 1501,
+            "black_pct": 0.61,
+            "pastel_pct": 42.5
+          },
+          "needs_vision": true
+        },
+        {
+          "id": "1-2",
+          "model": "flux-dev",
+          "prompt_set": "A",
+          "status": "OK",
+          "auto_eval": {
+            "size_kb": 1121,
+            "black_pct": 3.11,
+            "pastel_pct": 20.1
+          },
+          "flags": [
+            "black-3pct"
+          ]
+        },
+        {
+          "id": "1-3",
+          "model": "flux-dev+pulid",
+          "prompt_set": "A",
+          "status": "OK",
+          "auto_eval": {
+            "size_kb": 1065,
+            "black_pct": 0.73,
+            "pastel_pct": 30.2
+          },
+          "needs_vision_id": true
+        },
+        {
+          "id": "1-4",
+          "model": "flux-dev",
+          "prompt_set": "B",
+          "status": "OK",
+          "auto_eval": {
+            "size_kb": 1724,
+            "black_pct": 0.0,
+            "pastel_pct": 29.7
+          },
+          "needs_vision": true
+        },
+        {
+          "id": "1-5",
+          "model": "qwen-image-2512",
+          "prompt_set": "C",
+          "status": "FAILED",
+          "size_bytes": 5540,
+          "issue": "5KB 검정 latent (4차 연속)"
+        }
+      ],
+      "best_pastel": "1-1",
+      "learning": {
+        "qwen_workflow_3rd_attempt_failed": true,
+        "next_round_hint": "R2 — Qwen 비-GGUF + Stage 3 Flux Refiner (Pony 1-1 → refiner) + 다른 PuLID fusion"
+      }
+    }
+  ],
+  "thresholds": {
+    "byeolyi": 8,
+    "hanja": 4.5,
+    "hanok": 4.5
+  },
+  "raw_html_url": "https://kakao-kakao2-server.tail31bd37.ts.net/choijaewook/8460s-image-rd/raw/branch/main/eval/meeting-103-grid.html",
+  "vault_path": "D:\\Vault\\8460s-image-rd\\eval\\meeting-103-grid.html"
+}
--- a/results/meeting-103/round1/1-1.png
+++ b/results/meeting-103/round1/1-1.png
--- a/results/meeting-103/round1/1-1_thumb.png
+++ b/results/meeting-103/round1/1-1_thumb.png
--- a/results/meeting-103/round1/1-2.png
+++ b/results/meeting-103/round1/1-2.png
--- a/results/meeting-103/round1/1-2_thumb.png
+++ b/results/meeting-103/round1/1-2_thumb.png
--- a/results/meeting-103/round1/1-3.png
+++ b/results/meeting-103/round1/1-3.png
--- a/results/meeting-103/round1/1-3_thumb.png
+++ b/results/meeting-103/round1/1-3_thumb.png
--- a/results/meeting-103/round1/1-4.png
+++ b/results/meeting-103/round1/1-4.png
--- a/results/meeting-103/round1/1-4_thumb.png
+++ b/results/meeting-103/round1/1-4_thumb.png
--- a/results/meeting-103/round1/1-5.png
+++ b/results/meeting-103/round1/1-5.png
--- a/results/meeting-103/round1/1-5_thumb.png
+++ b/results/meeting-103/round1/1-5_thumb.png
--- a/results/meeting-103/round1/meta.json
+++ b/results/meeting-103/round1/meta.json
@@ -0,0 +1,99 @@
+{
+  "round": 1,
+  "captured_at": "2026-05-19T21:57:10.975065",
+  "combos": [
+    {
+      "id": "1-1",
+      "prompt_id": "3b6d1ef1-163c-484b-93bd-1965a5dd59b3",
+      "models_used": [
+        "pony-v6"
+      ],
+      "prompt_set": "A",
+      "stage": "1-only",
+      "status": "OK",
+      "size_bytes": 1537272,
+      "width": 768,
+      "height": 1344,
+      "aspect": 0.5714,
+      "black_pct": 0.61,
+      "pastel_pct": 42.5,
+      "thumb_size_kb": 540
+    },
+    {
+      "id": "1-2",
+      "prompt_id": "472d7fc4-0234-40f9-be7d-3e25e3d04b32",
+      "models_used": [
+        "flux-dev"
+      ],
+      "prompt_set": "A",
+      "stage": "1-only",
+      "status": "OK",
+      "size_bytes": 1148193,
+      "width": 768,
+      "height": 1344,
+      "aspect": 0.5714,
+      "black_pct": 3.11,
+      "pastel_pct": 20.1,
+      "thumb_size_kb": 374
+    },
+    {
+      "id": "1-3",
+      "prompt_id": "117742cb-1615-44ec-9f7b-5c558af278f8",
+      "models_used": [
+        "flux-dev",
+        "pulid-flux"
+      ],
+      "prompt_set": "A",
+      "stage": "1+pulid",
+      "status": "OK",
+      "size_bytes": 1090948,
+      "width": 768,
+      "height": 1344,
+      "aspect": 0.5714,
+      "black_pct": 0.73,
+      "pastel_pct": 30.2,
+      "thumb_size_kb": 377
+    },
+    {
+      "id": "1-4",
+      "prompt_id": "b4ec98ac-2f7f-4dd5-9e47-5bfdcc78cf3c",
+      "models_used": [
+        "flux-dev"
+      ],
+      "prompt_set": "B",
+      "stage": "1-only",
+      "status": "OK",
+      "size_bytes": 1765589,
+      "width": 768,
+      "height": 1344,
+      "aspect": 0.5714,
+      "black_pct": 0.0,
+      "pastel_pct": 29.7,
+      "thumb_size_kb": 512
+    },
+    {
+      "id": "1-5",
+      "prompt_id": "54ee2273-7585-4618-8b51-b74ded23cf05",
+      "models_used": [
+        "qwen-image-2512"
+      ],
+      "prompt_set": "C",
+      "stage": "1-only",
+      "workflow_variant": "SamplerCustomAdvanced v4",
+      "status": "FAILED_SMALL",
+      "size_bytes": 5540,
+      "width": 768,
+      "height": 1344,
+      "aspect": 0.5714,
+      "black_pct": 100.0,
+      "pastel_pct": 0.0,
+      "thumb_size_kb": 1
+    }
+  ],
+  "learning": {
+    "passed_count": 4,
+    "failed_count": 1,
+    "best_pastel": "1-1",
+    "next_round_hint": "auto-determine based on round learning"
+  }
+}
--- a/scripts/pycache/round_pipeline.cpython-313.pyc
+++ b/scripts/pycache/round_pipeline.cpython-313.pyc
--- a/scripts/round_pipeline.py
+++ b/scripts/round_pipeline.py
@@ -0,0 +1,174 @@
+#!/usr/bin/env python3
+"""
+meeting-103 v2.1 라운드 파이프라인
+- 결과 회수 (HTTP /view)
+- 썸네일 생성 (1MB 미만)
+- 자동 평가 (black/pastel/aspect)
+- 자산 라이브러리 7종 누적
+"""
+import json
+import os
+import sys
+import urllib.request
+from pathlib import Path
+from PIL import Image
+
+REPO_ROOT = Path("/mnt/ssd1/dev/projects/8460s-image-rd")
+COMFY = "http://100.123.6.62:8188"
+
+THRESHOLDS = {"byeolyi": 8, "hanja": 4.5, "hanok": 4.5}
+PROTECTED = {"qwen-image-2.0", "qwen-image-2512", "qwen-image-layered", "qwen-edit-2511",
+             "flux-dev", "flux-schnell", "flux-kontext", "flux-fill", "flux-redux",
+             "pulid-flux", "pony-v6", "illustrious", "lightning-lora-qwen"}
+
+
+def http_view(filename):
+    """ComfyUI HTTP /view 으로 PNG 다운로드 (bytes 반환)"""
+    url = f"{COMFY}/view?filename={filename}&type=output"
+    with urllib.request.urlopen(url, timeout=20) as r:
+        return r.read()
+
+
+def history_outputs(prompt_id):
+    """prompt_id → 출력 파일명 목록"""
+    url = f"{COMFY}/history/{prompt_id}"
+    with urllib.request.urlopen(url, timeout=10) as r:
+        data = json.load(r)
+    if not data:
+        return []
+    info = list(data.values())[0]
+    outs = info.get("outputs", {})
+    return [f["filename"] for n, i in outs.items() for f in i.get("images", [])]
+
+
+def fetch_round_results(round_n, combos):
+    """combos = [{"id": "1-1", "prompt_id": "...", "expected_filename": "..."}]"""
+    round_dir = REPO_ROOT / "results" / "meeting-103" / f"round{round_n}"
+    round_dir.mkdir(parents=True, exist_ok=True)
+    results = []
+    for c in combos:
+        fns = history_outputs(c["prompt_id"]) if c.get("prompt_id") else []
+        fn = fns[0] if fns else c.get("expected_filename")
+        if not fn:
+            results.append({**c, "status": "no_filename"})
+            continue
+        try:
+            data = http_view(fn)
+            out_png = round_dir / f"{c['id']}.png"
+            out_png.write_bytes(data)
+            size = len(data)
+            # 썸네일 (1MB 미만 의무)
+            img = Image.open(out_png).convert("RGB")
+            thumb = img.copy()
+            thumb.thumbnail((512, 768))
+            thumb_path = round_dir / f"{c['id']}_thumb.png"
+            thumb.save(thumb_path, "PNG", optimize=True)
+            assert thumb_path.stat().st_size < 1_000_000, "thumbnail >1MB"
+            # 자동 평가
+            w, h = img.size
+            pixels = list(img.getdata())
+            total = len(pixels)
+            near_black = sum(1 for r, g, b in pixels if r < 30 and g < 30 and b < 30)
+            pastel = sum(1 for r, g, b in pixels if (r > 150 and b > 150) or (r > 200 and g > 150 and b > 150))
+            results.append({
+                **c, "status": "OK" if size > 50000 else "FAILED_SMALL",
+                "size_bytes": size, "width": w, "height": h,
+                "aspect": round(w / h, 4),
+                "black_pct": round(near_black / total * 100, 2),
+                "pastel_pct": round(pastel / total * 100, 1),
+                "thumb_size_kb": thumb_path.stat().st_size // 1024,
+            })
+        except Exception as e:
+            results.append({**c, "status": f"ERROR:{type(e).__name__}", "error": str(e)[:120]})
+    return results
+
+
+def update_models_performance(round_n, combo_results):
+    """자산 라이브러리 1 — 모델 차원별 점수 누적"""
+    path = REPO_ROOT / "assets-library" / "models-performance.json"
+    data = json.loads(path.read_text())
+    for c in combo_results:
+        if c.get("status") != "OK":
+            continue
+        for model in c.get("models_used", []):
+            mdata = data["models"].setdefault(model, {
+                "rounds_used": 0,
+                "dimensions": {dim: [] for dim in data["_dimensions"]},
+                "avg_scores": {}, "best_combinations": [], "verdict": ""
+            })
+            mdata["rounds_used"] = max(mdata["rounds_used"], round_n)
+            scores = c.get("scores", {})
+            for dim, score in scores.items():
+                if score is not None and dim in mdata["dimensions"]:
+                    mdata["dimensions"][dim].append(score)
+            for dim, arr in mdata["dimensions"].items():
+                if arr:
+                    mdata["avg_scores"][dim] = round(sum(arr) / len(arr), 2)
+    path.write_text(json.dumps(data, indent=2, ensure_ascii=False))
+    return path
+
+
+def save_workflow_to_library(combo, workflow_json, round_n):
+    """자산 라이브러리 2 — winner/partial 워크플로 보존"""
+    scores = combo.get("scores", {})
+    if not scores:
+        return None
+    if all(scores.get(d, 0) >= t for d, t in THRESHOLDS.items()):
+        category = "winner"
+    elif max(scores.values()) >= 5:
+        category = "partial"
+    else:
+        return None
+    best_dim = max(scores, key=scores.get)
+    model = (combo.get("models_used") or ["unknown"])[0]
+    name = f"{category}-R{round_n}-{combo['id']}-{model}.json"
+    path = REPO_ROOT / "assets-library" / "workflows" / name
+    path.write_text(json.dumps(workflow_json, indent=2, ensure_ascii=False))
+    # 인덱스 갱신
+    idx_path = REPO_ROOT / "assets-library" / "workflows" / "_index.json"
+    idx = json.loads(idx_path.read_text())
+    entry = {"name": name, "category": category, "best_dimension": best_dim,
+             "scores": scores, "round": round_n, "model": model}
+    idx.setdefault(category, []).append(entry)
+    idx["count"] = len(idx.get("winner", [])) + len(idx.get("partial", []))
+    idx_path.write_text(json.dumps(idx, indent=2, ensure_ascii=False))
+    return path
+
+
+def save_results_meta(round_n, results, learning=None):
+    """라운드 메타 JSON 저장 (그리드 보조)"""
+    path = REPO_ROOT / "results" / "meeting-103" / f"round{round_n}" / "meta.json"
+    payload = {
+        "round": round_n,
+        "captured_at": __import__("datetime").datetime.now().isoformat(),
+        "combos": results,
+        "learning": learning or {}
+    }
+    path.write_text(json.dumps(payload, indent=2, ensure_ascii=False))
+    return path
+
+
+def extract_learning(results):
+    """라운드 학습 추출 (RAG-style)"""
+    passed = []
+    failed = []
+    for r in results:
+        if r.get("status") != "OK":
+            failed.append({"id": r["id"], "reason": r.get("status")})
+            continue
+        if r.get("black_pct", 0) > 5:
+            failed.append({"id": r["id"], "reason": "검정 5%+", "black_pct": r["black_pct"]})
+        else:
+            passed.append({"id": r["id"], "pastel_pct": r.get("pastel_pct"), "size": r.get("size_bytes")})
+    best = sorted([r for r in results if r.get("status") == "OK"],
+                  key=lambda x: x.get("pastel_pct", 0), reverse=True)
+    return {
+        "passed_count": len(passed),
+        "failed_count": len(failed),
+        "best_pastel": best[0]["id"] if best else None,
+        "next_round_hint": "auto-determine based on round learning"
+    }
+
+
+if __name__ == "__main__":
+    print("round_pipeline.py — 라이브러리, import 후 사용")