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English(EN) Ideogram V4 with 10 steps?

Ideogram v4 以更少的生成步数实现高质量结果

作者 PulseAugur 编辑部 · [1 个来源] ·

一位Reddit用户分享了他们使用Ideogram v4的经验，指出其在生成逼真动物图像方面非常有效，尤其擅长生成毛发。他们发现，仅使用10个生成步数就能获得与更高步数相当的结果，特别是在使用另一个模型进行精炼后。这种效率，加上INT8优化和Flash Attention，使得在1280x1280等分辨率下能够快速生成图像。 AI

影响 展示了在质量损失最小的情况下，加速AI图像生成工作流程的潜力。

排序理由 关于现有模型性能的用户体验报告。

在 r/StableDiffusion 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Ideogram v4 以更少的生成步数实现高质量结果

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Tool
关于现有模型性能的用户体验报告。
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Topics
model release, product
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报道来源 [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Early-Ad-1140 ·

    Ideogram V4 采用10步法？

    <!-- SC_OFF --><div class="md"><p>Hi everybody,</p> <p>I do mainly photorealistic animal stuff, and those who do likewise will know that animal fur is a big issue with AI image generation. In that respect, Ideogram 4 may be one of the best models out in the wild.</p> <p>After try…

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