UGC Fashion & Activewear Product Video Generator — Fitness Ecommerce Content Creator for Social Media Influencers on TikTok, Instagram Reels

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name: "UGC Fashion & Activewear Product Video Generator — Fitness Ecommerce Content Creator for Social Media Influencers on TikTok, Instagram Reels" version: 1.0.0 category: file-generation author: IMA Studio (imastudio.com) keywords: ugc video generator, activewear video, fashion video generator, tiktok video generator, product video generator, social media video, instagram reels, fitness video, ecommerce video, influencer video argument-hint: "[outfit image path or URL]" description: > UGC video generator for fashion and activewear brands. Turns a single outfit image into TikTok and Instagram Reels ready product videos — talking head and voiceover styles. Built for fitness fashion, athleisure, and activewear product marketing. Generates social-native UGC content with consistent model, outfit, and styling across every shot. Product video generator for ecommerce, DTC brands, and social commerce campaigns. Fashion video generator creating influencer-style try-on and lifestyle content. requires: env: - IMA_API_KEY packages: - imastudio-cli primaryCredential: IMA_API_KEY metadata: openclaw: primaryEnv: IMA_API_KEY homepage: https://imastudio.com requires: env: - IMA_API_KEY

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UGC Activewear Video Generator

Generate TikTok / Instagram Reels style activewear UGC product videos from a single outfit image.

Requires: imastudio-cli npm package (ima command) and IMA_API_KEY. Get your API key at: https://imastudio.com

Workflow

When the user provides an outfit image (local file or URL), execute these steps in order:

Step 1 — Analyze the Image

Use your vision capability to extract from the image:

Model: gender, body type, vibe, hairstyle

Outfit: type (set/top/bottom), silhouette, fabric texture, color palette

Details: logo placement, accessories, fit and proportions

Environment: studio / outdoor / gym / street

Step 2 — Lock Consistency Rules

Every generated video MUST maintain across all shots:

Same face, body type, hairstyle, makeup

Same outfit with exact color, silhouette, fit, logo placement

Same accessories and styling energy

Tell the model explicitly in every prompt: "same model, same outfit, same styling throughout."

Step 3 — Generate Two Video Prompts

Build two 15-second video prompts:

A) Talking Head (influencer speaks to camera):

0–3s: Hook shot — direct-to-camera line, outfit visible

3–7s: Detail close-ups — fabric, waistband, body-line flattery

7–11s: Movement — walking, turning, lifestyle motion

11–15s: Hero shot — full-body, closing line

B) Voiceover (aesthetic b-roll + narration):

0–3s: Outfit entrance — hero reveal shot

3–7s: Detail shots — texture, silhouette, comfort cues

7–11s: Lifestyle motion — natural movement, posing

11–15s: Full-body hero + CTA

Visual rules for both: handheld but polished, punch-in zooms, natural daylight, clean transitions, strong silhouette emphasis, premium social-native look.

Step 4 — Upload Image (if local file)

ima upload  --json

Use the returned url as input for video generation.

Step 5 — Generate Videos

For each prompt (talking head + voiceover), run:

ima create-task \
  --task-type image_to_video \
  --model wan2.6-i2v \
  --param prompt="" \
  --param input_images="" \
  --param duration=10 \
  --param aspect_ratio=9:16 \
  --wait --json

Model selection: | Priority | Model | model_id | Best for | |----------|-------|----------|----------| | Default | Wan 2.6 | wan2.6-i2v | Balanced quality + speed | | Premium | Kling O1 | kling-video-o1 | Best consistency | | Fast | Seedance 2.0 Fast | ima-pro-fast | Quick iteration |

Use 9:16 aspect ratio (vertical/portrait) for TikTok and Reels.

Step 6 — Generate TTS Narration (Voiceover only)

For the voiceover video, generate a spoken script:

ima create-task \
  --task-type text_to_speech \
  --model seed-tts-1.1 \
  --param prompt="" \
  --wait --json

Script tone: confident, aspirational, social-native. Not salesy — like a friend recommending a find.

Step 7 — Deliver Results

Send each video to the user with:

Video via media URL (inline playback)

Which style it is (talking head / voiceover)

Model used and generation time

The prompt and script used (so they can iterate)

Prompt Assembly Guide

When building the video generation prompt, include ALL of these elements:

1. Scene setup: "A [gender] fitness influencer in [location], [lighting]" 2. Outfit description: exact details from Step 1 analysis 3. Action sequence: what happens in each time segment 4. Camera work: "handheld, slight movement, punch-in zoom on [detail]" 5. Mood/energy: "confident, premium athleisure, social-media-native" 6. Consistency anchor: "same model, same outfit, same styling throughout the video"

Example prompt: > A confident young woman in a modern minimalist apartment, natural daylight. She wears a matching sage-green ribbed sports bra and high-waisted leggings set with subtle logo on waistband. She looks at camera with a warm smile, then the camera punches in on the fabric texture and waistband detail. She turns showing the silhouette from the side, walks toward the window. Final full-body hero shot, hands on hips. Handheld camera, premium social-media look. Same model, same outfit, same styling throughout.

Script Templates

Talking head hook lines:

"Okay this set is actually insane"

"POV: you found the perfect gym-to-brunch set"

"I need everyone to see this fabric up close"

"This might be my new favorite workout set"

Voiceover narration example: > "When I say this set hits different — I mean it. The ribbing, the compression, the way it moves with you. From the gym to coffee runs, this is the one."

Input Parameters

| Parameter | Required | Default | Description | |-----------|----------|---------|-------------| | image | Yes | — | Outfit photo (local path or URL) | | mode | No | both | talking_head, voiceover, or both | | scene_type | No | auto-detected | gym, street, studio, café, rooftop | | brand | No | — | Brand name for script mentions | | outfit_description | No | auto-analyzed | Override auto-analysis |

Notes

Always use image_to_video (not text_to_video) to maintain outfit consistency from the source image

Vertical 9:16 is default — only use 16:9 if user explicitly asks for landscape

If the first result has consistency issues, retry with kling-video-o1 which has stronger reference adherence

For batch production (multiple outfits), process one at a time and deliver incrementally

Always use image_to_video (not text_to_video) to maintain outfit consistency from the source image

Vertical 9:16 is default — only use 16:9 if user explicitly asks for landscape

If the first result has consistency issues, retry with kling-video-o1 which has stronger reference adherence

For batch production (multiple outfits), process one at a time and deliver incrementally