Portrait Master 2.9.2 经典单节点版

Here's the twist: the author of the Chinese fork recommends the old one. The v3 split is nicer to read, but PortraitMasterLegacyCN (Portrait Master 2.9.2 经典单节点版) is the classic all-in-one - every Portrait Master option from shot to style in a single node, including two things the split modules don't have: an integrated negative prompt and a built-in photorealism boost. The pack README says it plainly: "当前更推荐使用 2.9.2" - currently, the 2.9.2 is the one to use.

If you want to actually understand Portrait Master, this is the node to study, because it's the whole system in one wall of widgets.

How it works

It's the original 2.9.2 prompt-builder, Chinese-labeled, English-emitted. Selectors and weight sliders resolve to prompt phrases; - values and 0 weights are skipped; ~50 randomization booleans (随机镜头, 随机性别, 随机皮肤瑕疵, random_style_1…) can re-roll individual fields each run - the v3 split removed these switches, and honestly they're the legacy node's secret weapon for batch variety.

The big difference from v3: two outputs. positive and negative STRINGs. The node builds one prompt and a companion negative, so it can push tokens to both sides - the 照片写实增强 (photorealism improvement) toggle, when enabled, appends (professional photo, balanced photo, balanced exposure:1.2) to the positive and injects anti-shiny-skin tokens like (shinny skin, shiny skin, reflections on the skin, skin reflections:1.35) into the negative. That single toggle is doing the work people usually hand-build with two text boxes.

The inputs that matter

• prompt_start / prompt_additional / prompt_end - three free-text slots that sandwich the generated core. prompt_start sets the image type (raw photo, the default), prompt_additional drops in clothing/setting mid-prompt, prompt_end holds minor extras. This is how you blend your own writing with the node's.
• negative_prompt - your own negative, merged with the node's auto-generated one.
• 镜头类型 / 性别 / 年龄 / 国籍_1 / 国籍_2 - the identity block. 国籍_1 defaults to 中国人 (Chinese), which tells you which audience this fork is tuned for.
• 模特姿势 / 服装 / 光照类型 / style_1 / style_2 - the "how it's shot" block, same vocabulary as the v3 StylePose module.

Wire both outputs into two CLIPTextEncode nodes (positive → positive, negative → negative).

Installing it

cd ComfyUI/custom_nodes
git clone https://github.com/DropFan/comfyui-portrait-master-cn

Restart, or find comfyui-portrait-master-cn in ComfyUI Manager. No models, no requirements.txt - this is one of the cleanest installs in the custom-node ecosystem.

Where people get burned

• The nationality mix has sharp edges. Set both 国籍_1 and 国籍_2 and the node emits [chinese:spanish:0.84] - weighted alternation syntax that ComfyUI's stock CLIPTextEncode doesn't parse natively (grab comfyui-prompt-control for it). There's also a cosmetic float bug: the mix value can come out as 0.16000000000000003 in the emitted prompt. It's harmless but it looks broken when you read the output.
• Random toggles override your manual values. That's by design, but people forget - you spend ten minutes dialing in a face, flip 随机发型 on, and wonder why it changed.
• The whole prompt is lowercased. Fine for SDXL booru-style tags, and expected for SD1.5, but the old habit of capitalizing words for emphasis does nothing here.
• Weights are a CLIP-era feature. If your checkpoint uses an LLM text encoder (Flux, Z-Image), the (token:1.2) wrappers are mostly discarded. The node still writes coherent vocabulary - the emphasis just lands softer.

The honest take

It's an intimidating single node with over a hundred widgets, and that's exactly why the author still recommends it: everything lives in one place, the randomness switches give you free variety, and the built-in negative + photorealism combo is something the v3 modules punt on. If you're new, start here, get one great portrait, then graduate to the modular setup when you want a cleaner canvas. The legacy node is the one I'd actually reach for.