UGC Lifestyle Try-On
Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.
Inputs
| Name |
Type |
Required |
Default |
Description |
product_name |
text |
yes |
— |
The product to feature (e.g. "white oversized hoodie", "blue light blocking glasses", "leather crossbody bag"). |
product_image |
image_url |
yes |
— |
Product image or photo URL to use as reference for the try-on. |
model_description |
text |
no |
woman, 25-30 years old, natural look, diverse |
Description of the model (e.g. "man, athletic build, 20s", "woman, curvy, 30s, warm skin tone"). |
setting |
text |
no |
casual lifestyle, natural lighting |
Scene and mood (e.g. "urban street style", "cozy home morning routine", "gym workout", "coffee shop"). |
platform |
text |
no |
instagram |
Target platform — "instagram", "tiktok", "pinterest", "amazon". |
Steps
Submit the plan with TWO steps:
Step 1 — Outfit/Product Try-On
- Try-on generation —
muapi image edit (model=ai-dress-change) if product is wearable clothing, otherwise muapi image edit (model=flux-kontext-pro-i2i):
- For clothing/wearables with
ai-dress-change:
- Product:
{{product_image}}
- Prompt:
{{model_description}} wearing the product naturally in a {{setting}} environment. Authentic UGC-style photo, candid pose, natural expression.
- For accessories/non-clothing with
flux-kontext-pro-i2i:
- Prompt:
{{model_description}} using/wearing {{product_name}} in a {{setting}}. The product from the reference image is clearly visible and featured. Natural UGC-style lifestyle photography, authentic candid feel.
- Aspect ratio: 4:5 for Instagram, 9:16 for TikTok, 2:3 for Pinterest
Step 2 — UGC Lifestyle Variant
- Lifestyle context shot —
muapi image edit (model=gpt4o-edit) using the output from Step 1:
- Prompt:
Make this look like authentic UGC content — add realistic environment context for {{setting}}, adjust lighting to feel natural and unposed, subtle film grain, candid photography style. Keep product {{product_name}} clearly visible and well-lit.
After generation:
- Present both the try-on and lifestyle variant
- Offer to generate a 3-image carousel set with different poses/settings
- Suggest adding a short UGC-style video with
kling-v3.0-pro-image-to-video
Notes
- UGC performs best when it looks "accidental" — avoid overly polished or symmetrical compositions.
- For TikTok/Reels, suggest animating the best static shot into a video.
- For Amazon, refer back to the
amazon-product-listing skill for white-background variants.
Trigger Keywords
ugc, try on, lifestyle photo, model wearing, outfit photo, wear product, user generated, ugc content, lifestyle try on
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
- Substitute
{{input_name}} placeholders with the user's actual inputs before issuing each call.
1---2name: muapi-ugc-lifestyle-try-on-23description: Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.4---567# UGC Lifestyle Try-On89**Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.**1011## Inputs1213| Name | Type | Required | Default | Description |14|:---|:---|:---|:---|:---|15| `product_name` | text | yes | — | The product to feature (e.g. "white oversized hoodie", "blue light blocking glasses", "leather crossbody bag"). |16| `product_image` | image_url | yes | — | Product image or photo URL to use as reference for the try-on. |17| `model_description` | text | no | woman, 25-30 years old, natural look, diverse | Description of the model (e.g. "man, athletic build, 20s", "woman, curvy, 30s, warm skin tone"). |18| `setting` | text | no | casual lifestyle, natural lighting | Scene and mood (e.g. "urban street style", "cozy home morning routine", "gym workout", "coffee shop"). |19| `platform` | text | no | instagram | Target platform — "instagram", "tiktok", "pinterest", "amazon". |202122## Steps2324Submit the plan with TWO steps:2526### Step 1 — Outfit/Product Try-On27281. **Try-on generation** — `muapi image edit` (model=`ai-dress-change`) if product is wearable clothing, otherwise `muapi image edit` (model=`flux-kontext-pro-i2i`):29 - For clothing/wearables with `ai-dress-change`:30 - Product: `{{product_image}}`31 - Prompt: `{{model_description}} wearing the product naturally in a {{setting}} environment. Authentic UGC-style photo, candid pose, natural expression.`32 - For accessories/non-clothing with `flux-kontext-pro-i2i`:33 - Prompt: `{{model_description}} using/wearing {{product_name}} in a {{setting}}. The product from the reference image is clearly visible and featured. Natural UGC-style lifestyle photography, authentic candid feel.`34 - Aspect ratio: 4:5 for Instagram, 9:16 for TikTok, 2:3 for Pinterest3536### Step 2 — UGC Lifestyle Variant37382. **Lifestyle context shot** — `muapi image edit` (model=`gpt4o-edit`) using the output from Step 1:39 - Prompt: `Make this look like authentic UGC content — add realistic environment context for {{setting}}, adjust lighting to feel natural and unposed, subtle film grain, candid photography style. Keep product {{product_name}} clearly visible and well-lit.`4041After generation:42- Present both the try-on and lifestyle variant43- Offer to generate a 3-image carousel set with different poses/settings44- Suggest adding a short UGC-style video with `kling-v3.0-pro-image-to-video`4546## Notes47- UGC performs best when it looks "accidental" — avoid overly polished or symmetrical compositions.48- For TikTok/Reels, suggest animating the best static shot into a video.49- For Amazon, refer back to the `amazon-product-listing` skill for white-background variants.5051## Trigger Keywords5253`ugc`, `try on`, `lifestyle photo`, `model wearing`, `outfit photo`, `wear product`, `user generated`, `ugc content`, `lifestyle try on`545556---5758## Notes for the Executing Agent5960- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.61- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with `muapi predict wait <request_id>`.62- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.
ConcertoNotes