Files
8460s-image-rd/assets-library/workflows/winner_auto-illustration_auto-R3-clean-3-1-flux-dev.json
choijaewook 74a0415e8c 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

210 lines
3.7 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": "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": [
"9",
0
],
"image": [
"10",
0
],
"weight": 0.7,
"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": [
"19",
0
],
"guidance": 3.5
}
},
"13": {
"class_type": "KSampler",
"inputs": {
"model": [
"11",
0
],
"positive": [
"12",
0
],
"negative": [
"5",
0
],
"latent_image": [
"6",
0
],
"seed": 103001,
"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_r3_1_pulid07_redux085"
}
},
"16": {
"class_type": "StyleModelLoader",
"inputs": {
"style_model_name": "flux1-redux-dev.safetensors"
}
},
"17": {
"class_type": "CLIPVisionLoader",
"inputs": {
"clip_name": "sigclip_vision_patch14_384.safetensors"
}
},
"18": {
"class_type": "CLIPVisionEncode",
"inputs": {
"clip_vision": [
"17",
0
],
"image": [
"10",
0
],
"crop": "center"
}
},
"19": {
"class_type": "StyleModelApply",
"inputs": {
"conditioning": [
"4",
0
],
"style_model": [
"16",
0
],
"clip_vision_output": [
"18",
0
],
"strength": 0.85,
"strength_type": "multiply"
}
}
}