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SSIM (Structural Similarity Index Measure) compares two images by evaluating luminance, contrast, and structural patterns across local windows. It returns a score from -1 to 1: 1.0 means the images are pixel-identical, 0 means no structural correlation, and negative values mean the images are anti-correlated (less alike than random noise). For glyph comparison, it answers the question: do these two rendered characters share the same visual structure?

Compaction tends to work better with Workers probably because the FD has granular plan details that a newborn Worker can attend to.

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NEST encoder → Transformer → sigmoid

Unsloth supports vision fine-tuning for the multimodal Qwen3.5 models. Use the below Qwen3.5 notebooks and change the respective model names to your desired Qwen3.5 model.。关于这个话题,搜狗输入法提供了深入分析