choijaewook/8460s-image-rd
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
e1cb7eb21bae9f0f2e1c5680f487d7dfc5cdcc8f
8460s-image-rd/assets-library/workflows/_index.json

329 lines
8.0 KiB
JSON
Raw Normal View History

meeting-103 R0 fix: heredoc 실패 복구 — Python 으로 7종 자산 파일 정상 작성
2026-05-19 21:51:03 +09:00
{
meeting-103 v2.1 clean R5+R6 ✅: byeolyi-default.png ref = pastel 69.66% (+13pp 점프) R5 (3/5 success): - 5-1: Stage 3 Refiner denoise 0.25 → 49.85% (효과 미미) - 5-2: PuLID 0.5 / 5-3: strength_type=attn_bias → CUDA error - 5-4: Qwen fp8 full 25-step → 0%/100% (3회 연속 black) - 5-5: Hanok winter snow → 48.65% (spring/winter > summer) R6 (4/5 success, 별이 huge best 발견): - 6-1: ref byeolyi-916.png → 52.99% (-3.4pp vs 6-2) - 6-2: ref byeolyi-default.png → ★★★ 69.66% ⭐⭐⭐ 전체 best - 6-3: multi-redux → error - 6-4: Qwen fp8 + ModelSamplingAuraFlow shift=3.0 → 0%/100% (4회째 black) - 6-5: Hanok dancheong (Korean color cues) → 15.09% ⭐ 핵심 발견: PuLID reference 이미지 교체가 dramatic effect byeolyi-ref-768x1344 (R4-1 = 56.41%) → byeolyi-default (R6-2 = 69.66%) = +13.25pp 진행: R9 legacy 44.5% → R1 48.5% → R2 49.99% → R3 50.47% → R4 56.41% → R6 69.66% Qwen fp8 60갑자 트랙: 4회 연속 black 출력 (R3,R4,R5,R6) — 워크플로 구조 결함 확정 - failed-patterns에 'qwen-fp8-multi-attempt-black-output' 명시 - 향후 Qwen-Image 2.0 native (non-distill) 시도 필요 R6-2 워크플로: assets-library/workflows/winner_auto_high-illustration_auto-R6-clean-6-2-flux-dev.json
2026-05-20 00:03:37 +09:00
"count": 17,
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/
2026-05-19 23:17:19 +09:00
"winner": [
{
"name": "winner_auto-illustration_auto-R1-clean-1-4-flux-dev.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 48.5,
"black_pct": 0.27
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R1-clean",
"variant": "PuLID 0.7 + Redux 0.5",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
meeting-103 v2.1 clean R2 ✅5/5: PuLID 0.85+Redux 0.5 = pastel 49.99% (전체 best 갱신) R2 5조합 (5/5 success, retry 2회 포함): - 2-1: PuLID 0.7 + Redux 0.5 + Stage 3 Refiner (denoise 0.3) → 48.82% (Stage 3 효과 미미) - 2-2: PuLID 0.7 + Redux 0.7 → 48.93% - 2-3: PuLID 0.7 + Redux 0.3 → 38.52% (Redux 낮으면 파스텔 감소) - 2-4: PuLID 0.85 + Redux 0.5 → 49.99% ★ R2 best & 전체 best - 2-5: 한옥 spring (cherry blossom) → 44.45% / black 4.3% R1 best (R1-4 48.5%) → R2-4 (49.99%) = +1.5 pp 갱신 R9 legacy (44.5%) → R2-4 (49.99%) = +5.5 pp 누적 학습: - PuLID weight 0.85 + Redux 0.5 multiply 조합이 0.7/0.5 보다 우월 - Redux 0.3 너무 낮음, 0.7 비슷, 0.85+ 미검증 - Stage 3 Refiner 효과 미미 (48.5% → 48.82%, +0.3pp) CUDA error 회복: - 2-3, 2-4, 2-5 첫 시도 CUDA invalid argument - ComfyUI venv 재시작 후 retry → 3/3 모두 success - 매 ~5건 후 재시작 패턴 확인됨 자산 라이브러리: - models-performance: 8 모델 추적 - workflows: winner_auto 4 (R1-4, R2-1, R2-2, R2-4) + partial 5 - prompts/proven: 7 패턴 (R1, R2 합산) R3 계획: - 3-1: PuLID 0.7 + Redux 0.85 (push redux 더 강) - 3-2: PuLID 0.6 + Redux 0.7 (PuLID 약화) - 3-3: PuLID 0.7 + Redux 0.7 @ 1024x1792 (해상도 증가) - 3-4: Qwen-Image fp8 + Lightning LoRA 60갑자 (fp8 ~20G 완료, GGUF 회피) - 3-5: Pony V6 img2img from byeolyi-ref (대안 ID 방법) 검수: D:\Vault\8460s-image-rd\eval\meeting-103-v2.1-clean-grid.html
2026-05-19 23:36:44 +09:00
},
{
"name": "winner_auto-illustration_auto-R2-clean-2-1-flux-dev.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 48.82,
"black_pct": 0.34
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux",
"flux-dev-refiner"
],
"round": "R2-clean",
"variant": "PuLID 0.7 + Redux 0.5 + Stage 3 Refiner (denoise 0.3)",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
},
{
"name": "winner_auto-illustration_auto-R2-clean-2-2-flux-dev.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 48.93,
"black_pct": 0.46
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R2-clean",
"variant": "PuLID 0.7 + Redux 0.7",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
},
{
"name": "winner_auto-illustration_auto-R2-clean-2-4-flux-dev.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 49.99,
"black_pct": 0.18
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R2-clean",
"variant": "PuLID 0.85 + Redux 0.5",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
meeting-103 v2.1 clean R3+R4 ✅: PuLID 0.7+Redux 1.0 = pastel 56.41% (전체 best 갱신) R3 (4/5 success): - 3-1: PuLID 0.7 + Redux 0.85 → 50.47% (R2 best 49.99% 갱신) - 3-2: PuLID 0.6 + Redux 0.7 → 49.89% - 3-3: 1024x1792 → CUDA OOM at VAEDecode - 3-4: Qwen fp8 + Lightning LoRA euler/simple → 0%/100% (검정 완전) - 3-5: Pony V6 img2img byeolyi-ref → 77.3% (img2img 0.65 denoise, 원본 색 보존) R4 (3/5 success, 별이 새 best): - 4-1: PuLID 0.7 + Redux 1.0 (max) → 56.41% ★ 전체 best - 4-2: PuLID 0.85 + Redux 0.7 → 50.36% - 4-3: Stage 3 Refiner → CUDA error at ApplyPulidFlux - 4-4: Qwen fp8 lcm/normal → 0%/100% (Lightning LoRA 문제 미해결) - 4-5: 한옥 summer (green pines) → 17.7%/3.97% 학습: - Redux strength 0.5 → 0.7 → 0.85 → 1.0 단조 증가 (56.41% sweet spot) - PuLID 0.7 fixed, Redux 1.0 max = 최강 - Qwen fp8 + Lightning LoRA 결합 = 2회 연속 검정 출력 (워크플로 구조 문제) - 한옥 summer < spring (44.45%) — 색감 자체가 차분 진행: R9 legacy 44.5% → R1 48.5% → R2 49.99% → R3 50.47% → R4 56.41% (+11.91pp) 자산 라이브러리: - workflows: winner_auto 7 + partial 7 - prompts/failed: 9 패턴 (Qwen 계열 2건 추가)
2026-05-19 23:49:55 +09:00
},
{
"name": "winner_auto-illustration_auto-R3-clean-3-1-flux-dev.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 50.47,
"black_pct": 0.24
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R3-clean",
"variant": "PuLID 0.7 + Redux 0.85",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
},
{
"name": "winner_auto-illustration_auto-R3-clean-3-2-flux-dev.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 49.89,
"black_pct": 0.22
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R3-clean",
"variant": "PuLID 0.6 + Redux 0.7",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
},
{
"name": "winner_auto-illustration_auto-R3-clean-3-5-pony-v6.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 77.3,
"black_pct": 0.03
},
"models": [
"pony-v6"
],
"round": "R3-clean",
"variant": "Pony V6 img2img from byeolyi-ref (denoise 0.65)",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
},
{
"name": "winner_auto-illustration_auto-R4-clean-4-1-flux-dev.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 56.41,
"black_pct": 0.2
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R4-clean",
"variant": "PuLID 0.7 + Redux 1.0 (max)",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
},
{
"name": "winner_auto-illustration_auto-R4-clean-4-2-flux-dev.json",
"category": "winner_auto",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 50.36,
"black_pct": 0.86
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R4-clean",
"variant": "PuLID 0.85 + Redux 0.7 (combine best)",
"reusable_for": [
"타로 78장",
"별이 일러스트 시리즈"
]
meeting-103 v2.1 clean R5+R6 ✅: byeolyi-default.png ref = pastel 69.66% (+13pp 점프) R5 (3/5 success): - 5-1: Stage 3 Refiner denoise 0.25 → 49.85% (효과 미미) - 5-2: PuLID 0.5 / 5-3: strength_type=attn_bias → CUDA error - 5-4: Qwen fp8 full 25-step → 0%/100% (3회 연속 black) - 5-5: Hanok winter snow → 48.65% (spring/winter > summer) R6 (4/5 success, 별이 huge best 발견): - 6-1: ref byeolyi-916.png → 52.99% (-3.4pp vs 6-2) - 6-2: ref byeolyi-default.png → ★★★ 69.66% ⭐⭐⭐ 전체 best - 6-3: multi-redux → error - 6-4: Qwen fp8 + ModelSamplingAuraFlow shift=3.0 → 0%/100% (4회째 black) - 6-5: Hanok dancheong (Korean color cues) → 15.09% ⭐ 핵심 발견: PuLID reference 이미지 교체가 dramatic effect byeolyi-ref-768x1344 (R4-1 = 56.41%) → byeolyi-default (R6-2 = 69.66%) = +13.25pp 진행: R9 legacy 44.5% → R1 48.5% → R2 49.99% → R3 50.47% → R4 56.41% → R6 69.66% Qwen fp8 60갑자 트랙: 4회 연속 black 출력 (R3,R4,R5,R6) — 워크플로 구조 결함 확정 - failed-patterns에 'qwen-fp8-multi-attempt-black-output' 명시 - 향후 Qwen-Image 2.0 native (non-distill) 시도 필요 R6-2 워크플로: assets-library/workflows/winner_auto_high-illustration_auto-R6-clean-6-2-flux-dev.json
2026-05-20 00:03:37 +09:00
},
{
"name": "winner_auto-illustration_auto-R6-clean-6-1-flux-dev.json",
"category": "winner_auto",
"auto_metrics": {
"pastel_pct": 52.99,
"black_pct": 0.5
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R6-clean",
"variant": "PuLID 0.7 + Redux 1.0 (ref byeolyi-916.png)",
"reusable_for": [
"관찰"
]
},
{
"name": "winner_auto_high-illustration_auto-R6-clean-6-2-flux-dev.json",
"category": "winner_auto_high",
"auto_metrics": {
"pastel_pct": 69.66,
"black_pct": 0.05
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R6-clean",
"variant": "PuLID 0.7 + Redux 1.0 (ref byeolyi-default.png)",
"reusable_for": [
"타로 78장",
"별이 시리즈",
"인스타 9:16 카드"
]
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/
2026-05-19 23:17:19 +09:00
}
],
"partial": [
{
"name": "partial-illustration_auto-R1-clean-1-1-flux-dev.json",
"category": "partial",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 25.65,
"black_pct": 1.95
},
"models": [
"flux-dev",
"pulid-flux"
],
"round": "R1-clean",
"variant": "PuLID weight 0.85 mean (first try)",
"reusable_for": [
"관찰",
"한복 ref 후보"
]
},
{
"name": "partial-illustration_auto-R1-clean-1-3-flux-dev.json",
"category": "partial",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 27.51,
"black_pct": 0.79
},
"models": [
"flux-dev",
"pulid-flux"
],
"round": "R1-clean",
"variant": "PuLID weight 1.0 mean",
"reusable_for": [
"관찰",
"한복 ref 후보"
]
meeting-103 v2.1 clean R2 ✅5/5: PuLID 0.85+Redux 0.5 = pastel 49.99% (전체 best 갱신) R2 5조합 (5/5 success, retry 2회 포함): - 2-1: PuLID 0.7 + Redux 0.5 + Stage 3 Refiner (denoise 0.3) → 48.82% (Stage 3 효과 미미) - 2-2: PuLID 0.7 + Redux 0.7 → 48.93% - 2-3: PuLID 0.7 + Redux 0.3 → 38.52% (Redux 낮으면 파스텔 감소) - 2-4: PuLID 0.85 + Redux 0.5 → 49.99% ★ R2 best & 전체 best - 2-5: 한옥 spring (cherry blossom) → 44.45% / black 4.3% R1 best (R1-4 48.5%) → R2-4 (49.99%) = +1.5 pp 갱신 R9 legacy (44.5%) → R2-4 (49.99%) = +5.5 pp 누적 학습: - PuLID weight 0.85 + Redux 0.5 multiply 조합이 0.7/0.5 보다 우월 - Redux 0.3 너무 낮음, 0.7 비슷, 0.85+ 미검증 - Stage 3 Refiner 효과 미미 (48.5% → 48.82%, +0.3pp) CUDA error 회복: - 2-3, 2-4, 2-5 첫 시도 CUDA invalid argument - ComfyUI venv 재시작 후 retry → 3/3 모두 success - 매 ~5건 후 재시작 패턴 확인됨 자산 라이브러리: - models-performance: 8 모델 추적 - workflows: winner_auto 4 (R1-4, R2-1, R2-2, R2-4) + partial 5 - prompts/proven: 7 패턴 (R1, R2 합산) R3 계획: - 3-1: PuLID 0.7 + Redux 0.85 (push redux 더 강) - 3-2: PuLID 0.6 + Redux 0.7 (PuLID 약화) - 3-3: PuLID 0.7 + Redux 0.7 @ 1024x1792 (해상도 증가) - 3-4: Qwen-Image fp8 + Lightning LoRA 60갑자 (fp8 ~20G 완료, GGUF 회피) - 3-5: Pony V6 img2img from byeolyi-ref (대안 ID 방법) 검수: D:\Vault\8460s-image-rd\eval\meeting-103-v2.1-clean-grid.html
2026-05-19 23:36:44 +09:00
},
{
"name": "partial-illustration_auto-R2-clean-2-3-flux-dev.json",
"category": "partial",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 38.52,
"black_pct": 0.48
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux"
],
"round": "R2-clean",
"variant": "PuLID 0.7 + Redux 0.3",
"reusable_for": [
"관찰",
"한복 ref 후보"
]
},
{
"name": "partial-illustration_auto-R2-clean-2-5-flux-dev.json",
"category": "partial",
"best_dimension": "illustration_auto",
"auto_metrics": {
"pastel_pct": 44.45,
"black_pct": 4.3
},
"models": [
"flux-dev"
],
"round": "R2-clean",
"variant": "Hanok spring variant (cherry blossom)",
"reusable_for": [
"관찰",
"한복 ref 후보"
]
meeting-103 v2.1 clean R5+R6 ✅: byeolyi-default.png ref = pastel 69.66% (+13pp 점프) R5 (3/5 success): - 5-1: Stage 3 Refiner denoise 0.25 → 49.85% (효과 미미) - 5-2: PuLID 0.5 / 5-3: strength_type=attn_bias → CUDA error - 5-4: Qwen fp8 full 25-step → 0%/100% (3회 연속 black) - 5-5: Hanok winter snow → 48.65% (spring/winter > summer) R6 (4/5 success, 별이 huge best 발견): - 6-1: ref byeolyi-916.png → 52.99% (-3.4pp vs 6-2) - 6-2: ref byeolyi-default.png → ★★★ 69.66% ⭐⭐⭐ 전체 best - 6-3: multi-redux → error - 6-4: Qwen fp8 + ModelSamplingAuraFlow shift=3.0 → 0%/100% (4회째 black) - 6-5: Hanok dancheong (Korean color cues) → 15.09% ⭐ 핵심 발견: PuLID reference 이미지 교체가 dramatic effect byeolyi-ref-768x1344 (R4-1 = 56.41%) → byeolyi-default (R6-2 = 69.66%) = +13.25pp 진행: R9 legacy 44.5% → R1 48.5% → R2 49.99% → R3 50.47% → R4 56.41% → R6 69.66% Qwen fp8 60갑자 트랙: 4회 연속 black 출력 (R3,R4,R5,R6) — 워크플로 구조 결함 확정 - failed-patterns에 'qwen-fp8-multi-attempt-black-output' 명시 - 향후 Qwen-Image 2.0 native (non-distill) 시도 필요 R6-2 워크플로: assets-library/workflows/winner_auto_high-illustration_auto-R6-clean-6-2-flux-dev.json
2026-05-20 00:03:37 +09:00
},
{
"name": "partial-illustration_auto-R5-clean-5-1-flux-dev.json",
"category": "partial",
"auto_metrics": {
"pastel_pct": 49.85,
"black_pct": 0.08
},
"models": [
"flux-dev",
"pulid-flux",
"flux-redux",
"flux-dev-refiner"
],
"round": "R5-clean",
"variant": "PuLID 0.7 + Redux 1.0 + Stage 3 Refiner (denoise 0.25)"
},
{
"name": "partial-illustration_auto-R5-clean-5-5-flux-dev.json",
"category": "partial",
"auto_metrics": {
"pastel_pct": 48.65,
"black_pct": 3.7
},
"models": [
"flux-dev"
],
"round": "R5-clean",
"variant": "Hanok winter (snow)"
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/
2026-05-19 23:17:19 +09:00
}
]
meeting-103 R0 fix: heredoc 실패 복구 — Python 으로 7종 자산 파일 정상 작성
2026-05-19 21:51:03 +09:00
}
Reference in New Issue Copy Permalink