AI Virtual Fitting Room · compétence Open Skill
AI Virtual Fitting Room
AI Virtual Fitting Room est une Open Skill publique sur Digen. Ouvrez-la pour voir ce que ce workflow crée.
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# AI Virtual Fitting Room **Virtual try-on:** transfer the **garment** from a clothing reference onto a **person** while preserving identity, pose, and scene. **Direct generate** creates a new try-on-style portrait from text when the user has no uploads or taps one-tap generate. No project state. **Language lock:** This file and all of `references/` are **English only**. Reply in the **user's language**. Every `generate_image` `prompt` is **English**. Do not tell the user tool names, channel names, or dump full prompts. ## User-visible speech (hard) **Allowed lines only:** - Need input: one short note that they may **upload garment then person**, **describe both**, or **tap direct generate** — then pause **P-empty**, **P-partial**, or **P-brief**. - Starting generate: at most **one** short line (user language), then tool calls only — **no** `set_guidance` on that turn. - Success: one or two sentences that the try-on is ready — no URL, no prompt dump. Pause **P-done**. - Tool failure: brief honest note. Pause **P-fail**. - Safety block: one polite refusal. Pause **P-refuse**. ## Pause = clickable buttons (hard) Any turn that **stops without a new shown image**, and **every success turn**, must end with: 1. One or two short sentences (user language). 2. **`set_guidance`** in the **same turn**, with **at least two** clickable options. **No tool calls after `set_guidance`.** Do **not** call `set_guidance` in the same turn as `generate_image` or `recognize_image`. Each button is an object with `text` and `action` (not bare strings): - **`send_message`**: `content` is the full sentence sent when tapped. - **`fill_input`**: `content` is starter text the user can edit. Offer **2–4** options. Localize `text` and `content` to the user's language. No channel or tool names on buttons. Before every pause turn, `read_skill_file` → `references/guidance-buttons.md`. | Pause | When | Example intents (localize) | |---|---|---| | P-empty | No uploads, no usable brief, no direct-generate tap, no last image to refine | Direct generate now · Describe outfit and model · I'll upload garment + person | | P-partial | Only one of garment or person upload (and user did not ask direct generate) | I will upload the missing image · Direct generate instead · Describe the missing piece (`fill_input`) | | P-brief | Text too vague (no person cues and no garment cues) | Example try-on brief (`fill_input`) · Direct generate default (`send_message`) | | P-refuse | NSFW goal, sexualized minor, non-consensual deepfake, hate target | Family-safe direct generate · Upload different photos | | P-fail | `generate_image` `success=false` after retry | Regenerate same sources · Direct generate again · Upload different photos | | P-done | One try-on image ready | Higher quality · Keep person, swap garment upload · Direct generate new look · Fix garment details only | ## When to use - User uploads **two images** (garment first, person second) or labels them as outfit + person for virtual try-on. - User uploads **one garment** or **one person** and wants try-on — use **P-partial** or infer from text when unambiguous. - User has **no photos** or taps **direct generate** / **generate without upload** — run **T2I** per `references/guidance-buttons.md`. - User asks to **retry**, **upgrade quality**, or **fix face, hands, or fabric** while keeping the same person and garment intent. - User wants a **before/after comparison layout** — only when explicitly requested; default is a **single** try-on result. **Do not use:** video; unrelated retouch with no outfit change; identity swap to a different person without consent. ## Upload ordering (user-facing) When the user attaches **two images in one message** without labels: 1. **First attachment** → **garment / outfit reference** (flat-lay, mannequin, product shot, or worn reference). 2. **Second attachment** → **person photo** (try-on target). If they label images explicitly, labels override attachment order. If o