腾讯混元DiT推出6G小显存版本 混元Captioner正式对外开源
腾讯最新升级的混元文生图大模型（混元DiT）1.2版本，适配了Onijza、LoRA、ControlNet和Kohya插件于Diffusers库，显著降低了训练个性化图像生成模型的门槛。该升级版本图片质感和构图显著提升，支持中英文双语描述的混元Captioner模型更准确地理解中文语义，生成结构化、完整和准确的图片描述。混元Captioner模型的开源，允许全球研究者和数据标注人员提升图像描述质量，生成更全面准确的图片描述，大大提高其在训练各类视觉模型过程中的应用效果。最重要的是，混元DiT模型的小显存版本简化了使用成本，最低仅需6G显存即可运行，从而扩大了其在个人电脑领域的广泛应用潜力。QinT技术报告详述了此模型的创新功能和应用优化。
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