Files
8460s-image-rd/assets-library/workflows/winner_auto_high-illustration_auto-R7-clean-7-1-flux-dev.json
choijaewook f34be5f58f meeting-103 v2.1 clean R7+R8 🏆 BREAKTHROUGH: dpmpp_2m karras = pastel 82.43%
R7 (3/5 success, R6-2 sweet spot 확인):
- 7-1: PuLID 0.85 (default ref) → 64.45% (less than R6-2)
- 7-2: PuLID 0.6 (default ref) → 65.93%
- 7-3: seed 999777 → CUDA error
- 7-4: Stage 3 Refiner d=0.20 → CUDA error
- 7-5: Pony V6 60갑자 calligraphy → 18.09% (검정 회피 OK)

R8 (5/5 success, 🏆 거대한 발견):
- 8-1: seed 200000 → 65.73% (variance -3.93pp)
- 8-2: seed 555555 → 64.30%
- 8-3: guidance 2.5 → 62.71% (낮은 guidance = 파스텔 감소)
- 8-4: guidance 5.0 → 69.99% (R6-2와 동일)
- 8-5: dpmpp_2m karras → 🏆 82.43%  전체 best (+12.77pp)

 핵심 발견 2: 샘플러 변경의 dramatic effect
   euler/simple (R6-2 69.66%) → dpmpp_2m/karras (R8-5 82.43%) = +12.77pp

누적 진행 (R9 legacy → R8):
44.5% → 48.5% → 49.99% → 50.47% → 56.41% → 69.66% → 82.43% = +37.93pp

자산 라이브러리:
- workflows: winner_auto 11 + winner_auto_high 4 + winner_auto_breakthrough 1
- 8-5 워크플로 = 타로/12지신/별이 시리즈 재활용 표준 베이스
2026-05-20 00:15:56 +09:00

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3.7 KiB
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{
"1": {
"class_type": "UnetLoaderGGUF",
"inputs": {
"unet_name": "flux1-dev-Q5_K_S.gguf"
}
},
"2": {
"class_type": "DualCLIPLoader",
"inputs": {
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"clip_name2": "t5xxl_fp8_e4m3fn.safetensors",
"type": "flux"
}
},
"3": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "ae.safetensors"
}
},
"4": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "A 25-28 year old Korean woman in a modern hanbok with subtle Cute Horror mood, sitting gracefully in a traditional Korean tea house with hanok wooden architecture, warm afternoon light filtering through latticed windows, cool pale skin, gentle expression, photorealistic, high detail",
"clip": [
"2",
0
]
}
},
"5": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "cartoon, anime, child, teenage, purple hoodie, japanese building, plastic skin",
"clip": [
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0
]
}
},
"6": {
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"inputs": {
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"height": 1344,
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}
},
"7": {
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"inputs": {
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}
},
"8": {
"class_type": "PulidFluxEvaClipLoader",
"inputs": {}
},
"9": {
"class_type": "PulidFluxInsightFaceLoader",
"inputs": {
"provider": "CUDA"
}
},
"10": {
"class_type": "LoadImage",
"inputs": {
"image": "byeolyi-default.png"
}
},
"11": {
"class_type": "ApplyPulidFlux",
"inputs": {
"model": [
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],
"pulid_flux": [
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],
"eva_clip": [
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"face_analysis": [
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"image": [
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"weight": 0.85,
"start_at": 0.0,
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"fusion": "mean",
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"train_step": 1000,
"use_gray": true
}
},
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"class_type": "FluxGuidance",
"inputs": {
"conditioning": [
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],
"guidance": 3.5
}
},
"13": {
"class_type": "KSampler",
"inputs": {
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"positive": [
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"latent_image": [
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"seed": 107001,
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"cfg": 1.0,
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}
},
"14": {
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"inputs": {
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"vae": [
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}
},
"15": {
"class_type": "SaveImage",
"inputs": {
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],
"filename_prefix": "m103_clean_r7_1_default_pulid085_redux10"
}
},
"16": {
"class_type": "StyleModelLoader",
"inputs": {
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}
},
"17": {
"class_type": "CLIPVisionLoader",
"inputs": {
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}
},
"18": {
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"inputs": {
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"image": [
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"crop": "center"
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},
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}
}