Files
8460s-image-rd/assets-library/workflows/partial-illustration_auto-R1-clean-1-3-flux-dev.json
choijaewook 6623ea4172 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

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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": "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": [
"2",
0
]
}
},
"6": {
"class_type": "EmptyLatentImage",
"inputs": {
"width": 768,
"height": 1344,
"batch_size": 1
}
},
"7": {
"class_type": "PulidFluxModelLoader",
"inputs": {
"pulid_file": "pulid_flux_v0.9.1.safetensors"
}
},
"8": {
"class_type": "PulidFluxEvaClipLoader",
"inputs": {}
},
"9": {
"class_type": "PulidFluxInsightFaceLoader",
"inputs": {
"provider": "CUDA"
}
},
"10": {
"class_type": "LoadImage",
"inputs": {
"image": "byeolyi-ref-768x1344.png"
}
},
"11": {
"class_type": "ApplyPulidFlux",
"inputs": {
"model": [
"1",
0
],
"pulid_flux": [
"7",
0
],
"eva_clip": [
"8",
0
],
"face_analysis": [
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0
],
"image": [
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],
"weight": 1.0,
"start_at": 0.0,
"end_at": 0.8,
"fusion": "mean",
"fusion_weight_max": 1.0,
"fusion_weight_min": 0.0,
"train_step": 1000,
"use_gray": true
}
},
"12": {
"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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],
"negative": [
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],
"latent_image": [
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],
"seed": 101003,
"steps": 25,
"cfg": 1.0,
"sampler_name": "euler",
"scheduler": "simple",
"denoise": 1.0
}
},
"14": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"13",
0
],
"vae": [
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0
]
}
},
"15": {
"class_type": "SaveImage",
"inputs": {
"images": [
"14",
0
],
"filename_prefix": "m103_clean_r1_3_pulid_w100"
}
}
}