How to Use the Google Veo3.1 Reference-To-Video API: image to video integration guide (2026)
Learn how to call the Google Veo3.1 Reference-To-Video API on NamiFusion: parameters, pricing (from ≈$3.20) and runnable copy-paste code — try it in the playground first.
Google Veo3.1 Reference-To-Video is an image to video model by Google: Google Veo3.1 Reference-to-Video performs image-to-video generation that preserves a specific subject's appearance and identity from provided reference images, enabling consistent character or product motion across frames. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. On NamiFusion you can try it in the playground (exact quote shown before you submit), then call it through one unified REST API — a typical run costs about $3.20.
TL;DR
· Task type: image to video, provided by Google
· Pricing: about $3.20 per typical run ($1 = 100 credits), pay-as-you-go
· Getting started: playground (exact quote before submit) → create an API key → one POST request
· Tunable parameters: 6 (see the table below)
· No platform watermark; commercial use allowed (per the Terms of Service)
What can you build with Google Veo3.1 Reference-To-Video?
Short-form video and ad clips: go from a prompt or a single image to publishable motion content.
Product demos and concept previews: validate storyboards and visual direction cheaply before any shoot.
A social content factory: batch vertical clips and ride trending topics fast.
Remixing existing assets: image-to-video brings static work to life and extends its lifespan.
How do you call this API?
1. Sign up on NamiFusion and create a key on the API Keys page (free credits on signup).
2. Submit a task with the cURL example below, passing your key as a Bearer token.
3. Poll the task status with the returned task_uuid and read the output URLs when completed.
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/google/veo3.1/reference-to-video" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"reference_images": [
"https://assets-public.namifusion.com/uploads/images/2026-03-26/d62185810c5a.png",
"https://assets-public.namifusion.com/uploads/images/2026-03-26/ca89ce391484.png"
],
"prompt": "Generate a short video showing a person driving on a highway. The style of the person and car should match the reference image.",
"resolution": "1080p",
"generate_audio": true,
"seed": 42
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"What parameters does it take?
reference_images (Images): required
prompt (Prompt): required
resolution (Resolution): optional, default "1080p"
generate_audio (Generate Audio): optional, default true
negative_prompt (Negative Prompt): optional
seed (Seed): optional
How do you write prompts for Google Veo3.1 Reference-To-Video?
1. Subject first: lead with the actor and action, then add environment, lighting and style ("an astronaut sprinting through a neon street in the rain, cinematic, shallow depth of field").
2. Concrete nouns beat stacked adjectives: "85mm portrait lens, golden-hour backlight" works far better than "very beautiful, ultra high quality".
3. Change one variable per iteration: pin the seed to reproduce a result, tweak a single phrase at a time so you know what actually moved the output.
4. State negatives positively: instead of "no blur", ask for "sharp focus, crisp details".
How much does it cost?
Pay-per-use in credits. A typical run costs about $3.20 ($1 = 100 credits); the exact price varies with parameters like resolution or duration, and the playground shows the exact quote before you submit.
Google Veo3.1 Reference-To-Video
Tagline: Transform static images into dynamic videos with consistent subject fidelity.
Google Veo3.1 Reference-To-Video is a powerful image-to-video generation model that extracts and preserves the appearance and identity of subjects from reference images. It supports multi-image input and generates high-quality videos with smooth motion and synchronized audio. With no cold start, exceptional performance, and affordable pricing, it is ready for real-time applications.
🚀 Key Features
- Multi-Image Reference Support: Accepts up to three reference images to define subjects, environments, or styles, ensuring consistent identity, lighting, and appearance across frames.
- Cinematic Video Generation: Produces 5-second dynamic videos in 720p, 1080p, or 4k resolution, with camera effects like panning and zooming.
- Smart Prompt Interpretation: Combines text prompts and visual cues to generate precise actions and scenes.
- Synchronized Audio Generation: Generates audio that matches the video context.
- High Efficiency: No cold start, fast response, ideal for real-time use.
🛠️ Technical Specifications
| Parameter | Description |
|---|---|
| Model Architecture | Google DeepMind Veo 3.1 |
| Input Formats | Images (JPEG, PNG, WebP), Text Prompts |
| Output Formats | Video (MP4, with or without audio) |
| Resolution | 720p, 1080p, 4k |
| Duration | Default 5 seconds |
| Supported Images | 1 to 3 images |
| Image Size Limit | Minimum 128x128 pixels, maximum 50MB |
| Seed | Supports random seed for consistent results |
| Audio Generation | Optional, enabled by default |
💰 Pricing
| Duration | Resolution | With Audio Price | Without Audio Price |
|---|---|---|---|
| 8 sec | 720p | $3.20 | $1.60 |
| 8 sec | 1080p | $3.20 | $1.60 |
FAQ
Can I try it for free first?+
Signup gives you free credits, but they currently apply only to selected in-app face-swap features — this model is pay-as-you-go. The playground still lets you try it without code, with the exact quote shown before you submit.
Can I use the output commercially? Is there a watermark?+
Yes, outputs are yours to use commercially, and NamiFusion adds no platform watermark — subject to the Terms of Service and applicable law.
What is the content policy?+
NamiFusion is an unfiltered engine: no arbitrary restrictions and NSFW-friendly, but illegal content and non-consensual use of real people are prohibited — see the Terms of Service.
How long does a Google Veo3.1 Reference-To-Video task take?+
It depends on parameters — images usually take seconds, videos tens of seconds to minutes. The API returns a task_uuid for polling.
What are the resolution and duration limits?+
See the parameter table above — each model lists its available resolution and duration options there and in the playground.