Unverified75% confidenceFactTime unknown
现代扩散模型（如 Stable Diffusion XL）在训练时使用了大量商业设计素材，对电商海报等商业美学概念有较强理解能力
1
Sources
75%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
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UnverifiedImage generation models such as Stable Diffusion and Midjourney are already capable of producing high-quality concept art, but converting it into standardized assets usable in games still requires substantial post-processing work.71% similarUnverified当前扩散模型对非标品或定制化产品往往进行创意性补全而非精准还原，因为模型学习的是视觉分布而非具体商品的精确外观69% similarUnverified卡内基梅隆大学、谷歌DeepMind等团队2023年发表论文证实Stable Diffusion等扩散模型在特定提示词下可近乎完整重现训练集原始图像，某些案例重现率超过90%64% similarVerifiedRepresentative products of mainstream Diffusion Models include Stable Diffusion, early versions of DALL-E 2, and Midjourney; their working principle involves progressively adding Gaussian noise to images during training and then training a neural network to learn the reverse denoising process.63% similarUnverified扩散模型（如Stable Diffusion）通过逐步去噪还原图像，擅长细节纹理；自回归多模态模型（如GPT Image 2）在理解复杂文字指令和保持角色一致性方面更具优势63% similar
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