scripts/__pycache__/round_pipeline.cpython-313.pyc

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meeting-103 v2.1 라운드 파이프라인
- 결과 회수 (HTTP /view)
- 썸네일 생성 (1MB 미만)
- 자동 평가 (black/pastel/aspect)
- 자산 라이브러리 7종 누적
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-												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
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 								meeting-103 v2.1 라운드 파이프라인
 								- 결과 회수 (HTTP /view)
 								- 썸네일 생성 (1MB 미만)
 								- 자동 평가 (black/pastel/aspect)
 								- 자산 라이브러리 7종 누적
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