rotative
the decoder · 2026年11月15日

Anthropic 的 Claude Fable 5.2 用程式碼繪製圖像,而非通過擴散

anthropic 的 claude fable 5.2 通過模擬物理繪畫過程生成圖像,使用 python 程式碼產生逼真結果,涉及數十萬筆 brushstrokes. 這種方法與當前圖像模型(如 midjourney)不同。

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anthropic's claude fable 5.2 generates images by simulating the physical painting process through python code, producing photorealistic results with hundreds of thousands of brushstrokes. it scored 64.9 percent on anthropic's internal robodojo sim benchmark, compared to 29.8 percent for openai's gpt-6 astra. however, it fell behind in speed and fine motor control during a real-world test with a physical robot arm. the model develops its own artist personas and controls brushwork through python code, producing results without an external image model or pre-rendered source images.

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