Menu
Turn a person photo + a product photo + an optional script into a vertical 9:16 UGC-style video ad. Generates a lifestyle hero image (Nano-Banana Pro Edit), then animates it with native audio using Seedance 2.0 VIP image-to-video.
Baseado na classificação ocupacional SOC
Transform a 2D logo into a premium 3D version and animate it with professional cinematic effects.
Generate a high-cut-density action / fight scene by first composing a 16-cell storyboard image, then driving Seedance 2.0 image-to-video off that storyboard. Stacks GPT-Image-2 (character sheet + storyboard), Nano-Banana-2 (environment concept), and Seedance 2.0 i2v.
Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.
Generate a 15-second cinematic awards-ceremony video — a host announces a winner from the stage, a spotlight finds them in the crowd, they walk up to the podium, receive the award, and the LED display reveals their name and "THE BEST ACTOR".
Convert a photo of a person into a Pixar-style 3D cartoon character, then animate it using a reference dance or motion video.
Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.
| slug | muapi-ugc-video-factory |
| name | muapi-ugc-video-factory |
| version | 1.0.0 |
| description | Turn a person photo + a product photo + an optional script into a vertical 9:16 UGC-style video ad. Generates a lifestyle hero image (Nano-Banana Pro Edit), then animates it with native audio using Seedance 2.0 VIP image-to-video. |
| acceptLicenseTerms | true |
Turn a person photo + product photo (+ optional script & environment) into a vertical 9:16 UGC-style video ad with native dialogue audio.
A three-stage pipeline:
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
person | image_url | yes | — | Photo of the person who will appear in the ad (face + upper body works best). |
product | image_url | yes | — | Clear photo of the product (preferably on neutral background, logo/text legible). |
script | text | no | Okay… first of all, ship happens. And this hat is honestly my favorite. It also comes in navy and black, so you can pick your vibe. | The exact line the on-screen person will say (kept short — 1–2 sentences fit 10s comfortably). |
environment | text | no | study room, laptop in front of it | Scene / context where the person is using the product (e.g. "bathroom mirror, morning routine", "coffee shop window seat"). |
If person or product is missing, ask the user to upload them (muapi upload file <path>) or offer to generate placeholders before continuing.
Run the three steps sequentially — each step's output feeds the next.
Use a GPT model (gpt-5.1 or whichever chat model is available to the executing agent) with temperature 0 and max ~200 tokens to produce the hero-image prompt.
System prompt: You are a helpful assistant.
User prompt (substitute {{person}}, {{product}}, {{environment}}):
Uploaded images are being analyzed. Ultra-realistic lifestyle photography with {{person}} and {{product}} and {{environment}}.
If the product is wearable (e.g., hat, glasses, hooded sweatshirt), the person wears the product naturally.
If the product is carried in the hand (e.g., cream, bottle, thermos), the person holds the product naturally.
The product is clearly visible and is the main focus of the image. The logo or text on the product must be legible.
The person has a natural and modern look with a minimalist style.
The scene is consistent with the context of the product's use: {{environment}}.
Lighting: soft natural daylight.
Background: clean, aesthetic, slightly blurred (shallow depth of field).
Style: high-end commercial lifestyle photography, realistic textures, 4K quality, vertical 9:16 composition, social-media advertising style. The background and environment should be appropriate to the product (e.g. a woman with a serum could be at home). The person's facial details and the product must remain unchanged.
Capture the GPT response as {{step1_prompt}}.
Submit a muapi image edit call against the nano-banana-pro-edit model:
image_urls): [ {{person}}, {{product}} ] — order matters; person first.{{step1_prompt}} from Step 1.9:1611KjpegCapture the resulting image URL as {{hero_image}}. Briefly show it to the user for approval before kicking off the video step.
Submit a muapi video from-image call against seedance-2-vip-image-to-video (or the -fast variant if the executing agent wants lower latency).
{{hero_image}} from Step 2.9:1610 seconds.true (native dialogue).0.5blur, distort, low quality{{script}}):Create a 10-second vertical UGC-style video (9:16).
A person is interacting naturally with their setting and product.
The product is used naturally:
- If wearable → the person is wearing it.
- If handheld → the person is holding or applying it.
The video is a single, uninterrupted shot. No cuts. No color changes. No text on screen.
The person looks directly at the camera with a relaxed and natural expression.
They interact comfortably with the product using their hands (adjusting, holding, pointing).
They say in a natural, conversational tone:
"{{script}}"
Subtle hand gestures while speaking.
End with a small smile or nod.
Style: authentic UGC, handheld phone feel, light natural movement, soft daylight, shallow depth of field, TikTok/Reels aesthetic.
Poll the result with muapi predict wait <request_id> and download to the user's outputs directory.
seedance-2-vip-image-to-video-fast.{{hero_image}} variations in Step 2 and animate each independently — Seedance VIP does not multi-image i2v at 9:16 + audio.ugc video factory, ugc video ad, person plus product video, talking product ad, ugc reel, lifestyle product video, vertical ugc video
muapi CLI commands. Run muapi auth configure first if MUAPI_API_KEY is unset.muapi upload file <path> --output-json --jq '.url'.{{input_name}} placeholders with the user's actual inputs before issuing each call.muapi CLI does not yet alias nano-banana-pro-edit or seedance-2-vip-image-to-video, fall back to the raw API: curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}', then poll with muapi predict wait <request_id>.