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Models/SD3.5 Large

SD3.5 Large

Reported on 15 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical15 results

  • Image GenerationonTextAtlasEval
    StyledTextSynth Clip Score
    0.2849
    best: 0.2938 (Grok3)
  • Image GenerationonTextAtlasEval
    StyledTextSynth FID
    71.09
  • Image GenerationonTextAtlasEval
    StyledTextSynth OCR (Accuracy)
    27.21
    best: 30.58 (Dalle3)
  • Image GenerationonTextAtlasEval
    StyledTextSynth OCR (Cer)
    0.73
  • Image GenerationonTextAtlasEval
    StyledTextSynth OCR (F1 Score)
    33.86
    best: 38.25 (Dalle3)
  • Image GenerationonTextAtlasEval
    TextScenesHQ Clip Score
    0.2363
    best: 0.3367 (Dalle3)
  • Image GenerationonTextAtlasEval
    TextScenesHQ FID
    64.44
  • Image GenerationonTextAtlasEval
    TextScenesHQ OCR (Accuracy)
    19.03
    best: 69.26 (Dalle3)
  • Image GenerationonTextAtlasEval
    TextScenesHQ OCR (Cer)
    0.73
    best: 0.57 (Grok3)
  • Image GenerationonTextAtlasEval
    TextScenesHQ OCR (F1 Score)
    24.45
    best: 51.63 (Dalle3)
  • Image GenerationonTextAtlasEval
    TextVisionBlend Clip Score
    0.1846
    best: 0.1979 (Infinity-2B)
  • Image GenerationonTextAtlasEval
    TextVisionBlend FID
    118.85
    best: 81.29 (PixArt-Sigma)
  • Image GenerationonTextAtlasEval
    TextVisionBlend OCR (Accuracy)
    14.55
    best: 41.54 (Grok3)
  • Image GenerationonTextAtlasEval
    TextVisionBlend OCR (Cer)
    0.88
    best: 0.57 (Grok3)
  • Image GenerationonTextAtlasEval
    TextVsionBlend OCR (F1 Score)
    16.25
    best: 44.22 (Grok3)