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)
210 lines
3.7 KiB
JSON
210 lines
3.7 KiB
JSON
{
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"1": {
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"class_type": "UnetLoaderGGUF",
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"inputs": {
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"unet_name": "flux1-dev-Q5_K_S.gguf"
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}
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},
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"2": {
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"class_type": "DualCLIPLoader",
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"inputs": {
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"clip_name1": "clip_l.safetensors",
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"clip_name2": "t5xxl_fp8_e4m3fn.safetensors",
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"type": "flux"
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}
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},
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"3": {
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"class_type": "VAELoader",
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"inputs": {
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"vae_name": "ae.safetensors"
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}
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},
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"4": {
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"class_type": "CLIPTextEncode",
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"inputs": {
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"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",
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"clip": [
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]
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}
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},
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"5": {
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"class_type": "CLIPTextEncode",
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"inputs": {
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"text": "cartoon, anime, child, teenage, purple hoodie, japanese building, plastic skin",
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"clip": [
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"2",
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0
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]
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}
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},
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"6": {
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"class_type": "EmptyLatentImage",
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"inputs": {
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"width": 768,
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"height": 1344,
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"batch_size": 1
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}
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},
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"7": {
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"class_type": "PulidFluxModelLoader",
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"inputs": {
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"pulid_file": "pulid_flux_v0.9.1.safetensors"
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}
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},
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"8": {
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"class_type": "PulidFluxEvaClipLoader",
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"inputs": {}
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},
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"9": {
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"class_type": "PulidFluxInsightFaceLoader",
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"inputs": {
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"provider": "CUDA"
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}
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},
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"10": {
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"class_type": "LoadImage",
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"inputs": {
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"image": "byeolyi-ref-768x1344.png"
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}
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},
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"11": {
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"class_type": "ApplyPulidFlux",
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"inputs": {
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"model": [
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"1",
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0
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],
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"pulid_flux": [
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"7",
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0
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],
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"eva_clip": [
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"8",
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],
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"face_analysis": [
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"9",
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],
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"image": [
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"10",
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],
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"weight": 0.85,
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"start_at": 0.0,
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"end_at": 0.8,
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"fusion": "mean",
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"fusion_weight_max": 1.0,
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"fusion_weight_min": 0.0,
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"train_step": 1000,
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"use_gray": true
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}
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},
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"12": {
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"class_type": "FluxGuidance",
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"inputs": {
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"conditioning": [
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"19",
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0
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],
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"guidance": 3.5
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}
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},
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"13": {
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"class_type": "KSampler",
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"inputs": {
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"model": [
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"11",
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0
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],
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"positive": [
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"12",
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],
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"negative": [
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"5",
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],
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"latent_image": [
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"6",
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],
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"seed": 104002,
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"steps": 25,
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"cfg": 1.0,
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"sampler_name": "euler",
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"scheduler": "simple",
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"denoise": 1.0
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}
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},
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"14": {
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"class_type": "VAEDecode",
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"inputs": {
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"samples": [
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"13",
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0
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],
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"vae": [
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"3",
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0
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]
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}
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},
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"15": {
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"class_type": "SaveImage",
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"inputs": {
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"images": [
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"14",
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0
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],
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"filename_prefix": "m103_clean_r4_2_pulid085_redux07"
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}
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},
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"16": {
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"class_type": "StyleModelLoader",
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"inputs": {
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"style_model_name": "flux1-redux-dev.safetensors"
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}
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},
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"17": {
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"class_type": "CLIPVisionLoader",
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"inputs": {
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"clip_name": "sigclip_vision_patch14_384.safetensors"
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}
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},
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"18": {
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"class_type": "CLIPVisionEncode",
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"inputs": {
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"clip_vision": [
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"17",
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0
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],
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"image": [
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"10",
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0
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],
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"crop": "center"
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}
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},
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"19": {
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"class_type": "StyleModelApply",
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"inputs": {
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"conditioning": [
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"4",
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0
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],
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"style_model": [
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"16",
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0
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],
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"clip_vision_output": [
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"18",
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0
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],
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"strength": 0.7,
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"strength_type": "multiply"
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}
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}
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} |