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English(EN) So, I conducted a very interesting experiment. I generated an image in Krea 2 at a resolution of 2048x2048. Then, I took that image and downscaled it to 512. Finally, I used seedvr2 to upscale it back to 2048x2048. The final result was IDENTICAL to the original image.

AI图像生成实验表明,512分辨率结合放大技术可媲美2048输出

一项实验表明,一张以 2048x2048 分辨率生成、缩小到 512、然后使用 SeedVR2 放大回 2048x2048 的图像,与原始图像完全相同。这表明以 512 等较低分辨率训练模型,并结合有效的放大技术,在速度和显存使用方面可能足够且更有效。目前的挑战在于 VAE 在这些较低分辨率下会扭曲人脸。 AI

影响 表明通过利用较低分辨率和先进的放大技术,AI图像模型训练可能更有效。

排序理由 用户进行的实验,展示了关于图像生成分辨率和放大技术的技术发现。[lever_c_demoted from research: ic=1 ai=1.0]

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 →

AI图像生成实验表明,512分辨率结合放大技术可媲美2048输出

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用户进行的实验,展示了关于图像生成分辨率和放大技术的技术发现。[lever_c_demoted from research: ic=1 ai=1.0]
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  1. r/StableDiffusion TIER_2 English(EN) · /u/More_Bid_2197 ·

    我做了一个非常有趣的实验。我在 Krea 2 中生成了一张 2048x2048 分辨率的图像。然后,我将该图像缩小到 512。最后,我使用 seedvr2 将其放大回 2048x2048。最终结果与原始图像完全相同。

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1vcawfn/so_i_conducted_a_very_interesting_experiment_i/"> <img alt="So, I conducted a very interesting experiment. I generated an image in Krea 2 at a resolution of 2048x2048. Then, I took that image and …