Luxury Night Street Fashion Portrait · skill Open Skill công khai

Luxury Night Street Fashion Portrait

Luxury Night Street Fashion Portrait là một Open Skill công khai trên Digen. Mở ra để xem workflow này tạo gì.

@GG_Bone

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# Luxury Night Street Fashion Portrait

One-image delivery: turn the user's text brief (plus an optional 1–3 reference images) into a **3:4 vertical** cinematic night street fashion portrait. A single generation, no multi-stage flow.

- Input: text (subject, occasion, person and outfit description) + optional reference images (the person / the evening outfit / the night street)
- Output: one photorealistic portrait image, automatically added to the canvas

## When to Use

- The user asks for "a night fashion portrait / a night-street evening-wear shot / a cinematic night photo" and provides a brief or reference images.
- The user uploads a photo of themselves and asks to keep the likeness while changing the outfit or the scene.
- The user uploads only one reference image (person only / clothes only / location only), or provides no reference image and wants a text-only generation.

## Input: Three Kinds of Reference Images, Independent of Each Other

Reference images are **not required**, at most 3, and each one is responsible for exactly one thing — the skill still works if any of them is missing:

| Reference image role | What it does | How to fill it in from the text brief |
|---|---|---|
| Person reference | Facial features, bone structure and identity **stay unchanged** | Add age and vibe, hairstyle, makeup, expression |
| Evening outfit reference | Reproduce the whole look (colour / material / cut / accessories / shoes and bag) | Describe the material and colour of the gown, suit or coat |
| Night location reference | Reproduce the architecture, lighting and perspective of the street / porch / entrance | Describe the concrete place elements (door lantern, stone steps, wet asphalt) |

If you cannot tell which category an image belongs to, use it for the closest matching role, **do not ask the user for more images**, and fill the remaining slots from the text.

## Steps

1. **Read the brief**: extract "who she is → what she wears → where she stands → what pose and mood" from the text. Fill in reasonable gaps when the input is thin (e.g. only "before a gala dinner" → hotel entrance + evening gown + glancing-back stance); do not interrogate the user for details.
2. **Assemble the English prompt**: use the fixed skeleton in "Prompt Conventions" below plus the subject slots, written as natural English prose in one paragraph — not parameter-style fragments.
3. **Call `generate_image`** (channel is hard-coded; never pass a physical model name):
   - With any reference image: `model='i2i.hd'`, `input_urls=[...]` (order: person → outfit → scene, matching the order described in the prompt)
   - Without any reference image: `model='t2i.hd'`, do not pass `input_urls`
   - Fixed parameters: `orientation='portrait'`; when an exact 3:4 vertical is needed also pass `aspect_ratio='3:4'`; `name=` a short title from the brief (e.g. "Rainy Porch Velvet Gown"); `entity_type='portraits'`
   - `resolution` is not passed by default (720P); pass `'2K'` when the user asks for high definition — anything above the model's limit is automatically downscaled by the platform
4. **Reply**: one or two natural-language sentences about what the shot shows, **do not paste URLs**. When a next step is worth suggesting, call `set_guidance` in the **same turn** with 2–3 concrete options (change the evening outfit / change the night location / same scene, different pose).

## Prompt Conventions

**Fixed part** (copy verbatim every time, so that every image from this skill shares the same look):

```
LIGHT: warm directional key light on the face and outfit, cool night ambient highlights rimming the hair and shoulders, deep cinematic shadow falloff, unified amber-and-teal colour grade, background street lights rendered as soft bokeh orbs.
CAMERA: 85mm lens, f/1.8, eye-level, shallow depth of field, medium to three-quarter length framing, 3:4 vertical, subject slightly off-centre, headroom kept tight.
STYLE: film still, ultra-realistic photography, natural skin textu