u/CreamFar6820

I finally completed the full workflow step by step — all made using FREE tools only.

In this workflow, you can create fully dynamic videos based on your model, including:

• Wall changes
• Logo placement
• Model dress changes
• Frame-to-frame consistency
• Smooth connected video output

Everything stays connected naturally across each frame and scene in the video.

If you want the prompts or workflow, just DM me — happy to share 🙌

Sorry guys, I think the last paid prompting idea was not the best, and I apologize for that.

So instead, I created a complete video showing the full workflow step by step — including how I make the videos and the exact prompts I use. I also mentioned the document guide inside the video for easier understanding.

🎥 Workflow Live: https://youtu.be/Sdt5fJDIlKc

Please check it out and support the YouTube channel ❤️

I can create a complete dynamic prompt structure to generate this type of B-roll with:

• Different locations
• Different cars
• Custom cinematic styles
• Your own unique B-roll vibe

You can fully customize it to match your creative style as well.

This video i make use Free Tools (GPT Image and Veo 50 Daily

Before posting the final version, I need your feedback and suggestions.
Please tell me what can be improved in the editing, visuals, or overall presentation.

Any video editors here? I’d love some editing tips and creative suggestions as well 🙌

Thanks for the support ❤️

I can Use GPT Frams and Veo for Video motion

it's work for if i upload on youtube?

Hey everyone,

I’ve started creating UGC-style saree video ads completely with AI, and I’d love to get some feedback from the community.

Current workflow:

• Using GPT for script + frame/scene creation
• Using Veo for motion, expressions, and voice generation

Goal is to make the ads feel as natural and high-converting as real influencer UGC content.

Right now I’m experimenting with:

• Emotional storytelling
• Product showcasing
• Hook styles for first 3 seconds
• Natural AI voice tone
• Human-like movements and expressions
• Indian audience targeting for saree brands

I’d really appreciate feedback on:

1. Which part still feels “too AI”?
2. What should be improved most — script, motion, voice, pacing, emotions, or realism?
3. Would brands actually use content like this for paid ads?
4. Any tips to make AI UGC feel more authentic?

Also curious if anyone here is already using AI-generated creators/models for fashion ads.

Thanks 🙌

Make with Free Tools Like GPT & VEO. Complete With Free Tools

i create with simple Free Tools for Fram we are use GPT 2 image and Veo 3 for video i use only 50 Daily veo credit and make this, pls share the feedback how we improve more.

i can mention all the porompt how i make a video with free cost.

# Zara UGC Production Pipeline: "Steal Deal" Try-On
**Project ID:**
 ZARA-TRYON-ANKITA-001
**Avatar:**
 Ankita
**Voice:**
 ankita-v2-hinglish


---


## 1. Avatar & Voice Locks (Paste verbatim into prompts)


**Identity String (GPT Image & Veo):**
> South Asian Indian woman, natural medium-brown skin with warm golden undertone — oval-soft-heart face, slim tapered jaw, small rounded chin, large almond dark-brown eyes with soft double-crease lids, naturally full dark softly-feathered brows, medium-narrow nose with rounded tip, medium-full lips in muted pink-brown. Long dark brown-black wavy voluminous hair worn loose, thick, natural flyaways framing both sides of face. Small dark mole on image-left cheek below outer eye.


**Voice Lock String (Veo 3 Audio):**
> VOICE PROFILE: ankita-v2-hinglish
> Accent: Indian English, Mumbai register, youthful Hinglish
> Pitch: Medium-high, energetic
> Pace: 140 wpm
> Breathiness: slight


**Negative Prompt (Universal + Production):**
> different person, different face shape, different nose, different jaw, different eye shape, extra person, crowd, text overlay, watermark, logo bug, blurry face, motion blur on face, overexposed face, underexposed face, distorted hands, extra fingers, missing fingers, fused fingers, warped wrists, plastic skin, porcelain skin, airbrushed skin, beauty-filter skin, glass skin, CGI look, anime, illustration, painting, cartoon, lighter skin tone, darker skin tone, different ethnicity, bronzed skin, orange undertone.


---


## 2. Phase 1: Keyframe Generation (GPT Image)
*Generate these boundary frames first to establish visual anchors before moving to Veo.*


**Common Scene Note:**
 `Scene: Bedroom with warm beige walls, soft natural daylight from a side window, bright and airy UGC aesthetic.`


### Frame 1: Hook Start (0:00)
`Fashion lookbook photo, 9:16 vertical, handheld phone-camera UGC style. Scene: Bedroom with warm beige walls, soft natural daylight, bright and airy UGC aesthetic. Subject: [PASTE IDENTITY STRING]. Wearing: casual white ribbed tank top. Pose: Medium close-up, chest and face visible. Expression: total shock, eyes wide, mouth open in a "no way" gasp. Gesture: holding a navy blue Zara shopping bag with white logo up near chest level. Style: candid UGC, authentic. Negative: different person, different face shape, different nose, different jaw, different eye shape, extra person, crowd, text overlay, watermark, logo bug, blurry face, motion blur on face, overexposed face, underexposed face, distorted hands, extra fingers, missing fingers, fused fingers, warped wrists, plastic skin, porcelain skin, airbrushed skin, beauty-filter skin, glass skin, CGI look, anime, illustration, painting, cartoon, lighter skin tone, darker skin tone, different ethnicity, bronzed skin, orange undertone.`


### Frame 2: Product Reveal (0:03)
`Fashion lookbook photo, 9:16 vertical, handheld phone-camera UGC style. Scene: Bedroom with warm beige walls, soft natural daylight. Subject: [PASTE IDENTITY STRING]. Wearing: casual white ribbed tank top. Pose: Upper body. Expression: obsessed, admiring, warm excited smile. Gesture: right hand pulling a cream and black printed halterneck mini dress out of the Zara bag, holding the fabric toward the camera. Style: candid UGC. Negative: different person, different face shape, different nose, different jaw, different eye shape, extra person, crowd, text overlay, watermark, logo bug, blurry face, motion blur on face, overexposed face, underexposed face, distorted hands, extra fingers, missing fingers, fused fingers, warped wrists, plastic skin, porcelain skin, airbrushed skin, beauty-filter skin, glass skin, CGI look, anime, illustration, painting, cartoon, lighter skin tone, darker skin tone, different ethnicity, bronzed skin, orange undertone.`


### Frame 3: Try-On Front (0:06)
`Fashion lookbook photo, 9:16 vertical, tripod phone-camera UGC style. Scene: Bedroom with warm beige walls, soft natural daylight. Subject: [PASTE IDENTITY STRING]. Wearing: cream and black printed halterneck mini dress with neck tie, silver jhumka earrings. Pose: Full body standing. Expression: confident, upbeat smile. Gesture: hands resting casually at hips, posing in front of the camera, showing off the front fit of the dress. Style: candid UGC. Negative: different person, different face shape, different nose, different jaw, different eye shape, extra person, crowd, text overlay, watermark, logo bug, blurry face, motion blur on face, overexposed face, underexposed face, distorted hands, extra fingers, missing fingers, fused fingers, warped wrists, plastic skin, porcelain skin, airbrushed skin, beauty-filter skin, glass skin, CGI look, anime, illustration, painting, cartoon, lighter skin tone, darker skin tone, different ethnicity, bronzed skin, orange undertone.`


### Frame 4: Try-On Back/Side Spin (0:10)
`Fashion lookbook photo, 9:16 vertical, tripod phone-camera UGC style. Scene: Bedroom with warm beige walls, soft natural daylight. Subject: [PASTE IDENTITY STRING]. Wearing: cream and black printed halterneck mini dress with back tie visible, silver jhumka earrings. Pose: Medium shot from the waist up. Expression: stylish, helpful look toward the camera over the shoulder. Gesture: turned slightly sideways to show the back tie detail of the halterneck, left hand gently adjusting the silver jhumka earring. Style: candid UGC. Negative: different person, different face shape, different nose, different jaw, different eye shape, extra person, crowd, text overlay, watermark, logo bug, blurry face, motion blur on face, overexposed face, underexposed face, distorted hands, extra fingers, missing fingers, fused fingers, warped wrists, plastic skin, porcelain skin, airbrushed skin, beauty-filter skin, glass skin, CGI look, anime, illustration, painting, cartoon, lighter skin tone, darker skin tone, different ethnicity, bronzed skin, orange undertone.`


### Frame 5: Result Payoff (0:14)
`Fashion lookbook photo, 9:16 vertical, handheld phone-camera UGC style. Scene: Bedroom with warm beige walls, soft natural daylight. Subject: [PASTE IDENTITY STRING]. Wearing: cream and black printed halterneck mini dress, silver jhumka earrings. Pose: Close-up face only. Expression: relatable, satisfied, playful wink with one eye and a big warm genuine smile. Gesture: hands barely visible at bottom frame. Style: candid UGC. Negative: different person, different face shape, different nose, different jaw, different eye shape, extra person, crowd, text overlay, watermark, logo bug, blurry face, motion blur on face, overexposed face, underexposed face, distorted hands, extra fingers, missing fingers, fused fingers, warped wrists, plastic skin, porcelain skin, airbrushed skin, beauty-filter skin, glass skin, CGI look, anime, illustration, painting, cartoon, lighter skin tone, darker skin tone, different ethnicity, bronzed skin, orange undertone.`


### Frame 6: CTA Point (0:15)
`Fashion lookbook photo, 9:16 vertical, handheld phone-camera UGC style. Scene: Bedroom with warm beige walls, soft natural daylight. Subject: [PASTE IDENTITY STRING]. Wearing: cream and black printed halterneck mini dress, silver jhumka earrings. Pose: Upper body. Expression: energetic, direct direct-to-camera smile. Gesture: right hand pointing index finger directly downward toward the bottom of the frame (indicating the comment section). Style: candid UGC. Negative: different person, different face shape, different nose, different jaw, different eye shape, extra person, crowd, text overlay, watermark, logo bug, blurry face, motion blur on face, overexposed face, underexposed face, distorted hands, extra fingers, missing fingers, fused fingers, warped wrists, plastic skin, porcelain skin, airbrushed skin, beauty-filter skin, glass skin, CGI look, anime, illustration, painting, cartoon, lighter skin tone, darker skin tone, different ethnicity, bronzed skin, orange undertone.`


---


## 3. Phase 2: Video Generation (Veo 3 Prompts)
*Generate these only after you have your reference images for the boundary frames above.*


### Segment 1 (0:00 - 0:03)
```text
Create a 3-second vertical UGC video segment.
Start frame: [ATTACH FRAME 1]
End frame: [ATTACH FRAME 2]
Character continuity: same woman identity throughout, same skin texture, hair state, and outfit. Same bedroom background and natural lighting.
Motion: Handheld selfie style. Avatar starts with a shocked gasp holding the Zara bag, then excitedly pulls the cream and black dress out of the bag toward the camera.
Camera: handheld selfie-cam, slight natural wobble.
Veo 3 audio:
[PASTE VOICE LOCK STRING]
Tone this segment: Shocked, high pitch, rapid
Ambient audio: soft background music (trending Reels audio -15dB)
Dialogue: "Guys… I CANNOT believe this dress from Zara was just 599 rupees?!"
Constraints: [PASTE NEGATIVE PROMPT]
```


### Segment 2 (0:03 - 0:06)
```text
Create a 3-second vertical UGC video segment.
Start frame: [ATTACH FRAME 2]
End frame: [Do not force an end frame to avoid morphing to outfit change, let the action play out]
Character continuity: same woman identity, same tank top outfit.
Motion: Avatar holds up the cream and black dress fabric, showing the print and halterneck detail to the camera with an admiring, obsessed expression.
Camera: handheld drift, pushing slightly in on the dress fabric.
Veo 3 audio:
[PASTE VOICE LOCK STRING]
Tone this segment: Admiring, breathy, focused
Ambient audio: soft background music
Dialogue: "Look at this print. Halterneck and that back tie? So boujee."
Constraints: [PASTE NEGATIVE PROMPT], jump cut, scene change, identity drift, face morph, outfit change mid-segment.
```
*(Note: Assemble with a hard cut in post-production between Segment 2 and 3 for the outfit transition).*


### Segment 3 (0:06 - 0:10)
```text
Create a 4-second vertical UGC video segment.
Start frame: [ATTACH FRAME 3]
End frame: [ATTACH FRAME 4]
Character continuity: same woman identity, wearing the cream and black halterneck dress and jhumkas.
Motion: Avatar does a confident, upbeat half-spin, starting facing forward and turning to the side to show the back tie of the dress.
Camera: tripod clean, static full body.
Veo 3 audio:
[PASTE VOICE LOCK STRING]
Tone this segment: Confident, melodic, upbeat
Ambient audio: soft background music
Dialogue: "The fit is chef’s kiss. Front, back, every angle."
Constraints: [PASTE NEGATIVE PROMPT]
```


### Segment 4 (0:10 - 0:14)
```text
Create a 4-second vertical UGC video segment.
Start frame: [ATTACH FRAME 4]
End frame: [ATTACH FRAME 5]
Character continuity: same woman identity, wearing the halterneck dress and jhumkas.
Motion: Avatar stands side-profile, adjusts her silver jhumka earring, then leans in slightly closer to the camera.
Camera: tripod clean, static medium shot.
Veo 3 audio:
[PASTE VOICE LOCK STRING]
Tone this segment: Helpful, stylish, conversational
Ambient audio: soft background music
Dialogue: "Perfect for brunch or date night. Add silver jhumkas for that vibe."
Constraints: [PASTE NEGATIVE PROMPT]
```


### Segment 5 (0:14 - 0:15)
```text
Create a 1.5-second vertical UGC video segment.
Start frame: [ATTACH FRAME 5]
End frame: [Do not attach end frame, just let the wink play]
Character continuity: same woman identity, wearing halterneck dress.
Motion: Close-up on face. Avatar gives a playful, satisfying wink and a big smile.
Camera: handheld selfie-cam, very slight zoom in.
Veo 3 audio:
[PASTE VOICE LOCK STRING]
Tone this segment: Relatable, satisfied, punchy
Ambient audio: soft background music
Dialogue: "Honestly? Best 599 I've spent."
Constraints: [PASTE NEGATIVE PROMPT]
```


### Segment 6 (0:15 - 0:17)
```text
Create a 2-second vertical UGC video segment.
Start frame: [ATTACH FRAME 6]
End frame: [Let the action play out naturally]
Character continuity: same woman identity, wearing halterneck dress.
Motion: Avatar points aggressively downwards toward the bottom of the screen with an energetic smile, gesturing to the comments.
Camera: handheld selfie-cam.
Veo 3 audio:
[PASTE VOICE LOCK STRING]
Tone this segment: Energetic, direct, punchy upward inflection
Ambient audio: soft background music
Dialogue: "Link?! Comment ‘ZARA’ and I’ll DM it to you."
Constraints: [PASTE NEGATIVE PROMPT]
```


---


## 4. Post-Production Assembly Notes
- 
**Hard Cut at 0:06:**
 Make sure there is a sharp cut between Segment 2 (tank top) and Segment 3 (wearing Zara dress). Do not let Veo attempt to morph the clothes.
- 
**Watermark Check:**
 If using the Veo free tier, crop the bottom 8% of the video to remove the watermark. Ensure the avatar's pointing gesture in Segment 6 stays above this crop line.
- 
**Text Overlay:**
 Add text-on-screen exactly matching the spoken hook for the first 3 seconds (e.g., `"ZARA dress for ₹599?!"`) to boost algorithm scroll-stop. Place text in the center-top safe zone.

I created this AI UGC video using 5 GPT-generated frames and 4 Veo 3.1 shots — all using free tools.

I’m focused on improving:

• Voice quality and clarity
• Video smoothness and transitions

I’d really appreciate your feedback on how I can make it better. Your suggestions will help me refine future videos!

i use Free Tools Like: for images process GPT image 2 and for video i use Veo 3
only 50 Credit, rate and how to improve more, cut is not smooth because i don't know about the editing.