meeting-103 v2.1 clean R1 ✅5/5: PuLID + Redux = pastel 48.5% (R9 best 갱신)

R0 환경 점검:
- VRAM 11.7/12.4GB free (94%) — 해소 확인
- pytorch 2.12.0+cu130 + sageattention venv 검증
- 모델 인벤토리: Flux Dev Q5 GGUF, PuLID, Redux, byeolyi-ref-916 확보
- fp8 다운로드 .part 0 bytes (재개 대기)

R1 clean 5조합 (5/5 success):
- 1-1: PuLID w0.85 mean → pastel 25.7% / black 1.95%
- 1-2: PuLID w0.85 mean delayed_start 0.05 → pastel 10.0% / black 14.0% (어두움)
- 1-3: PuLID w1.0 mean → pastel 27.5% / black 0.79%
- 1-4: PuLID w0.7 + Redux 0.5 → pastel 48.5% / black 0.27% ★ R1 best
- 1-5: 한옥 baseline Flux Dev 768² → pastel 12.9% / black 11.7%

CUDA error 회복:
- 1-2 retry concat → CUDA invalid argument → 후속 1-2~1-5 모두 실패
- ComfyUI venv 재시작 (sage + pytorch 2.12) → 1-2 변형 (delayed_start)로 대체
- 재시도 4/4 모두 success

이전 R9 best (44.5%) → R1-4 (48.5%) = +4 pp 갱신

자산 라이브러리 누적:
- models-performance.json: 7 모델 추적 (flux-dev, pulid-flux, flux-redux 등)
- workflows: winner_auto 1 + partial 2
- prompts/proven: illustration_auto 패턴 3건
- prompts/failed: pastel-low + CUDA error 패턴
- prompts/negative: A_byeolyi 패턴 etc.

검수:
- Vault: D:\Vault\8460s-image-rd\eval\meeting-103-v2.1-clean-grid.html
- Gitea: results/meeting-103-v2.1-clean/round1/

assets-library/prompts/failed-patterns.json

@@ -80,5 +80,15 @@
     ],
     "verdict": "GGUF Q4 + CUDA 13.0 + PyTorch 2.12 환경 호환성 결함 — 6차 모두 5KB latent",
     "next_track": "non-GGUF safetensors 또는 다른 quant (Q8/fp16) 필요 — 본 트랙에서는 한자 정확 렌더링 = Pony score_9 만 가능"
-  }
+  },
+  "r1-1-2-pastel-low-flux-dev": [
+    {
+      "round": "R1-clean",
+      "id": "1-2",
+      "variant": "PuLID weight 0.85 mean delayed_start 0.05 (concat-replacement)",
+      "pastel_pct": 9.99,
+      "black_pct": 13.98,
+      "note": "auto-classified pastel-low (delayed start_at + concat replacement)"
+    }
+  ]
 }

assets-library/prompts/negative-effective.json

@@ -1 +1,9 @@
-{}
+{
+  "A_byeolyi_pastel_negatives": [
+    {
+      "round": "R1-clean",
+      "negative": "cartoon, anime, child, teenage, purple hoodie, japanese building, plastic skin",
+      "resulted_in_pastel": 48.5
+    }
+  ]
+}

assets-library/prompts/proven-patterns.json

@@ -23,5 +23,44 @@
       "consistent_pastel_pct_range": "13-42% (해상도·프롬프트 영향)",
       "verdict": "Pony 단일 모델 = 가장 안정적 (R1·R2·R4 모두 성공)"
     }
+  },
+  "illustration_auto": {
+    "R1-clean-1-1": [
+      {
+        "pastel_pct": 25.65,
+        "black_pct": 1.95,
+        "variant": "PuLID weight 0.85 mean (first try)",
+        "models": [
+          "flux-dev",
+          "pulid-flux"
+        ],
+        "round": "R1-clean"
+      }
+    ],
+    "R1-clean-1-3": [
+      {
+        "pastel_pct": 27.51,
+        "black_pct": 0.79,
+        "variant": "PuLID weight 1.0 mean",
+        "models": [
+          "flux-dev",
+          "pulid-flux"
+        ],
+        "round": "R1-clean"
+      }
+    ],
+    "R1-clean-1-4": [
+      {
+        "pastel_pct": 48.5,
+        "black_pct": 0.27,
+        "variant": "PuLID 0.7 + Redux 0.5",
+        "models": [
+          "flux-dev",
+          "pulid-flux",
+          "flux-redux"
+        ],
+        "round": "R1-clean"
+      }
+    ]
   }
 }