服装模特生成

You have a photo of a garment on a hanger (or laid flat on a table) and no model to put it on. A photoshoot is expensive, a stock model is a coin flip on whether the fit looks right, and your listing needs a body wearing the thing. That's the exact gap this node is built for: drop in the garment, get out a model wearing it. It's the front door of the pack's clothing series - 服装模特生成, "fashion model generation."

The hook is that everything about the model is your choice before you click. You pick ethnicity (race_class: 亚裔 / 黑人 / 白人), gender and age (gender_class: man / woman / little boy / little girl), a style preset (style_prompt - eight Chinese presets like 通用-INS自拍, an "Instagram selfie" vibe, or 女装-清新室内, "fresh indoor"), output Size (1:1, 3:4, 9:16) and resolution (1K or 2K). If you want a specific face on that body - say, you have a returning customer and want continuity - hook face_image in and the model will use it. That optional prompt field is your escape hatch when a preset doesn't fit; leave it empty and the presets carry the load.

How it works

Mechanically it's the same story as every node in this pack: your images are base64-encoded and POSTed to Mojie's endpoint under the mojie-output-moter model, and the result is downloaded and returned as an IMAGE tensor. The Chinese race_class values get mapped to the backend's Asia / black / Ukraine codes (yes, "Ukraine" is what the backend calls its white-person class - don't ask), and is_face flips to true the moment a face image is connected. Under the hood it's a hosted model doing the whole try-on; you are not running a diffusion model locally, which is the point if your machine is modest. This is the exact "the model isn't on your machine" pattern the KB's API-nodes essay covers - you trade local control for a capability a low-end PC can't reach.

The inputs that matter

• cloths_image - the garment photo. Required, and it's the one thing you can't skip.
• face_image - optional, but if you want the model's face to match someone specific, this is where it goes.
• style_prompt + gender_class + race_class - the dials that stop you from generating a lineup of identical-looking models.
• seed - normal diffusion seed, change it for variety.

Output is output, a single IMAGE you can preview, save, or feed into the pack's other clothing nodes.

Installing and using it

Same as the rest of the pack - search "mojieapi_party" in ComfyUI Manager, or git clone the repo into custom_nodes, drop your key into config.ini from mojieaigc.com, restart. No model files to download. The author ships ready-made workflows in the pack's workflow/ folder - 服装模特生成(合集).json is the four-feature combo (model gen, white-background extraction, pose change, clothes swap) and the (生成组图).json one chains them into a sheet. Drag one in and you'll see how this node is meant to sit upstream of MoterPoseNode and ReplaceClothesNode.

Where people get burned

The error channel is a red image with the message painted on it. A 401 or 403 almost always means the key is wrong or the balance ran out - these calls are metered, and model generation eats credits a few cents at a time. And one culture note: this is a Chinese-market pack, so the prompts and presets are Chinese-first. You can pass English in the optional prompt, but if you want the presets' full effect, reading a little Chinese goes a long way.