Files
8460s-image-rd/assets-library/workflows/partial-illustration_auto-R2-clean-2-5-flux-dev.json
choijaewook 4282ffa8f9 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

110 lines
2.0 KiB
JSON

{
"1": {
"class_type": "UnetLoaderGGUF",
"inputs": {
"unet_name": "flux1-dev-Q5_K_S.gguf"
}
},
"2": {
"class_type": "DualCLIPLoader",
"inputs": {
"clip_name1": "clip_l.safetensors",
"clip_name2": "t5xxl_fp8_e4m3fn.safetensors",
"type": "flux"
}
},
"3": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "ae.safetensors"
}
},
"4": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "Traditional Korean hanok village in spring, curved tile roofs with subtle blossom petals, wooden gates, stone walls, cherry blossom trees in bloom, soft pastel sky, Korean architecture, NOT Japanese, NOT pagoda, photorealistic, high detail",
"clip": [
"2",
0
]
}
},
"5": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "japanese, pagoda, chinese architecture, modern building, wabi-sabi",
"clip": [
"2",
0
]
}
},
"6": {
"class_type": "EmptyLatentImage",
"inputs": {
"width": 768,
"height": 1344,
"batch_size": 1
}
},
"12": {
"class_type": "FluxGuidance",
"inputs": {
"conditioning": [
"4",
0
],
"guidance": 3.5
}
},
"13": {
"class_type": "KSampler",
"inputs": {
"model": [
"1",
0
],
"positive": [
"12",
0
],
"negative": [
"5",
0
],
"latent_image": [
"6",
0
],
"seed": 102005,
"steps": 25,
"cfg": 1.0,
"sampler_name": "euler",
"scheduler": "simple",
"denoise": 1.0
}
},
"14": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"13",
0
],
"vae": [
"3",
0
]
}
},
"15": {
"class_type": "SaveImage",
"inputs": {
"images": [
"14",
0
],
"filename_prefix": "m103_clean_r2_5_hanok_spring"
}
}
}