SilvermoonMix03-Chenkin-Rectified-Flow

SilvermoonMix03-Chenkin-Rectified-Flow focuses on natural lighting, performing exceptionally well in low-light environments and high-contrast scenarios. It is specifically tuned for abstract elements and fluid textures, such as hair, water, ribbons, etc.

For instructions on how to use the RF model, please refer to https://civitai.com/models/2363696/chenkinnoob-xl-v02-rectified-flow

I mainly use ReForge. Support for RF in ReForge is being implemented through a built-in extension:

Why RF?

• ChenkinNoob (both the original and RF versions) features an updated new knowledge base (up to 01/2026). However, the original ChenkinNoob was based on E-pred, which doesn't perform well on dark contents and has an issue where it tends to fill the entire picture—a stylistic trait I wanted to avoid.

• The Rectified-Flow (RF) version resolves both of these issues.

• The fine-tune result on the ChenkinNoob RF demonstrates good scene and limb logic. The raw generated results are already acceptable without using Hires. fix or ADetailer,

• Artist tags perform closer to the artist's true style compared to the Noob-Vpred version. You can expect an approximate 20%-25% improvement in style accuracy.

Recommended settings:

• Sampler: Euler A Comfy RF (for ReForge)/Euler

• Steps: 20-28

• CFG: around 5

• Shift: around 3

• Schedule: Normal / Simple / SGM Uniform / Beta

• Positive Quality Tags: masterpiece, best quality, aesthetic

• Negative Tags: worst quality, normal quality, bad anatomy, low resolution

Note: All my demo images were generated via stable-diffusion-webui-reForge. You can right-click any of the demo images -> open in a new tab to download the original image. You can then pull it into the webui's PNG info tab to see my exact generation settings.

SilvermoonMix03-Chenkin-v1-RF 专注于自然光影，在低光环境和高对比度场景下表现出色。它针对抽象元素和流体纹理（如头发、水、丝带等）进行了专门优化。

有关如何使用 RF 模型的说明，请参考： https://civitai.com/models/2363696/chenkinnoob-xl-v02-rectified-flow

我主要使用 ReForge。ReForge 对 RF 的支持正通过一个内置扩展来实现：

为什么选择 RF 版本？

• ChenkinNoob（原版和 RF 版）都拥有最新的知识库（截至 2026 年 1 月）。但是，原版 ChenkinNoob 是基于 E-pred 的，它在处理暗部内容时表现不佳，并且倾向于把整个画面填满，我不喜欢这种风格。

• RF 版本完美解决了这两个问题。

• 此外，在ChenkinNoob RF 上的微调结果展现出了非常优秀的场景和肢体逻辑。即使不使用 Hires. fix（高清修复）和 ADetailer，直接生成的原图效果也已经非常不错且完全可以接受了。

• 画师 tag 的表现更加贴近原画师的真实风格。与 Noob-Vpred 版本相比，画风的还原度大约提升了 20%-25%。

推荐设置：

• 采样方法 (Sampler): Euler A Comfy RF (ReForge自带)/Euler

• 迭代步数 (Steps): 20-28

• 提示词引导系数 (CFG): 5 左右

• Shift: 3 左右

• 调度器 (Schedule): Normal / Simple / SGM Uniform / Beta

• 正面质量提示词: masterpiece, best quality, aesthetic

• 负面提示词: worst quality, normal quality, bad anatomy, low resolution

注意： 我所有的示例图片都是使用 stable-diffusion-webui-reForge 生成的。您可以右键单击任何示例图片 -> 在新标签页中打开以保存原图。然后，您可以将其拖入 WebUI 的 PNG Info 选项卡中来查看我的具体生成参数。

Change notes:

v2.1: Fine-tuned on ChenkinNoob-XL-v0.3 Rectified-Flow.

v1.0: First release. Fine-tuned on ChenkinNoob-XL-v0.2 Rectified-Flow.