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Evalisennia SD 1.5 | 伊岚臻实 | Ultra Realistic

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881
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Verified:
SafeTensor
Type
Checkpoint Trained
Stats
881
0
Reviews
Published
Apr 20, 2025
Base Model
SD 1.5
Hash
AutoV2
5268EDFDDD

With proper training, an SD‑1.5 model can rival SDXL or other, more recent checkpoints.

在正确的训练下,sd1.5的模型也可以有不弱于SDXL或者其它更先进的模型的能力

Generate beautiful Asian girl images

生成美丽的东亚女性图片

Negative prompt
(worst quality:2), (low quality:2), (normal quality:2), lowres

Samplers

  • DPM++ 2M

  • Euler

Steps
30 – 50 (or more)

Image size
512 × 768

Turn ADetailer on to clean up small or distant faces.

I still think SD‑1.5 is a fantastic base even today: it’s simple, direct, fast, and it can produce images with bold style, rich details, and real charm. More than once, while experimenting with SDXL or other models, I’ve caught myself thinking, “Hmm… the older SD‑1.5 result actually looked nicer.” For most use‑cases, the SD‑1.5 parameter count may already be enough—so I set out to push that model further and see if I could break its limits, making it generate images that are even more striking, beautiful, and lifelike.

我想即使在今天,sd1.5也是一个很好的模型,它简单、直接、快速,生成的图片也可以风格强烈、细节饱满、令人喜欢。我经常在使用SDXL模型或者其他某些模型时偶尔想到:这看起来还不如之前sd1.5模型的好看。我想,满足我们的需求,sd1.5的参数量或许就能做到。因此我来尝试改进已有的sd1.5模型,看能不能突破它能力的边界,让它生成的图片更加绝妙、美丽、真实

The model is fine‑tuned from majicMIX realistic v7 using a dataset similar to Evalisennia SDXL v3. Compared with the original majicMIX realistic v7, it should deliver higher realism, stronger capabilities, broader knowledge, and a more versatile style range.

模型基于majicMIX realistic v7使用类似Evalisennia SDXL v3的数据集进行训练,相较于majicMIX realistic v7应该进一步提升了真实度、模型能力、知识量、风格。

Hope you enjoy it—happy creating!

希望你们喜欢,使用愉快!