VIDU Q2 on Novita AI: Image-to-Video API Guide (Turbo, Pro, Pro Fast)

https://blogs.novita.ai/vidu-q2-on-novita-ai-image-to-video-api-guide-turbo-pro-pro-fast/

VIDU Q2 on Novita AI delivers production-grade image-to-video generation through a developer-friendly API, generating 540p-1080p clips in 10 seconds with cinematic camera control and multi-reference image fusion. Built on U-ViT architecture, it excels at consistent motion, micro-expressions, and 7-image reference handling with pay-as-you-go pricing.

What is VIDU Q2 on Novita AI?

VIDU Q2 is an advanced image-to-video AI model available on Novita AI through multiple variants:

  • Start-End Frame: You define exactly how the video starts and how it ends; the AI figures out the middle.
  • Multi-frame: You provide a series of images (like a storyboard), and the AI animates the movement between them.
  • Turbo: Focused on speed and efficiency (likely cheaper or faster to run).
  • Pro: Focused on visual quality, adherence to prompts, and detail (likely slower and more expensive).
  • Reference Image: The image isn’t necessarily the first frame of the video, but rather a reference for “what things should look like” (e.g., character design).
  • Template: VIDU Q2 template to video API, supports various effect scene templates, generates effect video content based on templates and input images.
Category / Endpoint NameInput Types (What you upload)
VIDU Q2 Text to VideoText Prompt
VIDU Q2 Template to VideoTemplate + Assets
VIDU Q2 Reference Image to VideoReference Image + Text
VIDU Q2 Turbo Image to VideoSingle Image
VIDU Q2 Turbo Start-End FrameStart Image & End Image
VIDU Q2 Turbo Multi-frameMultiple Keyframes
VIDU Q2 Pro Image to VideoSingle Image
VIDU Q2 Pro Start-End FrameStart Image & End Image
VIDU Q2 Pro Multi-frameMultiple Keyframes
VIDU Q2 Pro Fast Image to VideoSingle Image
VIDU Q2 Pro Fast Start-End FrameStart Image & End Image

Core Architecture Features of VIDU Q2 on Novita AI

FeatureSpecificationDeveloper Benefit
Multi-Reference FusionimagesConsistent identity preservation across subjects
Resolution Options540p, 720p, 1080pBalance quality vs. generation speed
Duration Range1-10 secondsShort-form content optimized
Motion ControlAuto/Small/Medium/Large amplitudeFine-tune animation intensity
Camera OperationsPush, pull, orbit, pan, zoomCinematic shot control via text prompts

Key Capabilities for Developers of VIDU Q2 on Novita AI

1. Multi-Reference Image Fusion

VIDU Q2’s defining feature is its ability to process multiple input images simultaneously. Unlike single-image models, Q2’s multi-reference fusion enables complex scenarios: blend a character’s face from one image with a prop from another, or maintain consistency across distinct subjects in a single video. The model handles start/end-frame locking to preserve specific poses or logo placements throughout the clip.

Use Case: Generate a product demo by combining (1) brand logo image, (2) product photo, (3) hand gesture reference—Q2 fuses all three into a cohesive 5-second video with natural hand movements presenting the branded product.

2. Cinematic Camera Control

Q2 understands cinematic grammar in text prompts: “dolly zoom,” “tracking shot,” “counter-clockwise orbit.” This enables precise camera movements without manual animation—specify “close-up dolly zoom on face with slow pan right” and Q2 executes the shot with smooth transitions.

3. Physics-Aware Motion

Q2 excels at realistic physics simulation. User tests show accurate car acceleration on tracks, natural fabric movement, and believable water dynamics. For action scenes or product demonstrations requiring physical realism, Q2’s motion engine outperforms models lacking physics awareness.

4. Micro-Expression and Emotion Control

The model captures subtle facial movements: hesitant smiles, eye contact shifts, lip micro-movements. This is critical for character-driven content where emotional authenticity matters—explainer videos with animated presenters, training videos with realistic avatars, or social media clips requiring expressive reactions.

Novita AI API Integration of VIDU Q2

Setup Requirements

Novita AI provides a serverless, pay-as-you-go API—no GPU infrastructure required. Setup takes under 5 minutes:

  1. Sign up at novita.ai
  2. Navigate to API Keys in dashboard
  3. Generate new API key (free tier available for testing)
  4. Use OpenAI-compatible endpoint format
vidu q2 on novita ai

Audio & BGM Generation: Q2 Pro supports background music and voice synthesis via `bgm` and `voice_id` parameters—generate complete video clips with synchronized audio in a single API call.

Off-Peak Processing: Enable `off_peak` mode for 30-40% cost reduction with slightly longer queue times—ideal for batch jobs without real-time requirements.

Performance Benchmarks of VIDU Q2 on Novita AI

  • Q2 Turbo achieves 3× speed improvement over Q1
  • Improved facial/motion consistency compared to Q1
  • Sharper transitions between camera movements (reduced jumpiness)
  • Rebuilt motion engines for natural pans, zooms, and tracking shots
  • Superior object preservation across frames vs. Sora-class models

Pricing of VIDU Q2 on Novita AI

Novita AI uses pay-per-generation pricing—no subscriptions or GPU rental required. Costs scale with resolution, duration, and variant choice:

ModelModeDurationResolutionPrice (/video)
VIDU Q2Text to Video5s540P$0.0802
VIDU Q2Text to Video5s720P$0.1562
VIDU Q2Text to Video5s1080P$0.2677
VIDU Q2Reference to Video5s540P$0.1562
VIDU Q2Reference to Video5s720P$0.2008
VIDU Q2Reference to Video5s1080P$0.5132
VIDU Q2 ProImage to Video5s540P$0.1472
VIDU Q2 ProImage to Video5s720P$0.2454
VIDU Q2 ProImage to Video5s1080P$0.5135
VIDU Q2 Pro FastImage to Video5s720P$0.0713
VIDU Q2 Pro FastImage to Video5s1080P$0.1430
VIDU Q2 TurboImage to Video5s540P$0.0624
VIDU Q2 TurboImage to Video5s720P$0.2141
VIDU Q2 TurboImage to Video5s1080P$0.3347

Best Practices of VIDU Q2 on Novita AI

Prompt Engineering for Q2

Keep prompts under 100 words, prioritize motion and camera over dense narratives. Good prompt structure:

[Camera movement] + [Subject action] + [Emotion/expression] + [Technical specs]

Example: "Slow dolly zoom on woman's face, hesitant smile forming, eyes looking down then up, natural lighting, 24fps"

Avoid: “A beautiful woman in a park on a sunny day thinks about her past while looking at trees and feeling nostalgic as birds fly by…” (too dense, dilutes adherence)

Multi-Reference Image Tips

  • Explicitly prompt which elements to preserve: “Use face from image 1, clothing from image 2, background from image 3”
  • Unrelated images blend poorly without guidance—if combining a face + object, specify their relationship
  • Limit to 3-4 references for best results—7-image capacity is for complex multi-subject scenes, not always optimal

Iteration Workflow

  1. Start with 720p, 4 seconds, auto motion—fastest iteration cycle
  2. Test 3-5 prompt variations with fixed seed—identify best camera/emotion combo
  3. Scale winning variant to 1080p, 6-8 seconds for final output
  4. Use off-peak for batch jobs (30% cost savings)

Batch Processing with Queue

For high-volume generation:

  1. Submit 50-100 tasks with off-peak enabled
  2. Use webhook callbacks to capture results asynchronously
  3. Store task IDs in database for status tracking
  4. Implement retry logic for failed tasks (rate limits, timeouts)

Video Extension for Long-Form Content

Q2 generates 1-10 second clips. For longer videos:

  • Method 1: Use VIDU’s extend API to add 6+ seconds to existing clips without jump-cuts
  • Method 2: Generate overlapping clips (last frame of clip 1 becomes first frame of clip 2) and stitch with FFmpeg
  • Method 3: Treat Q2 as scene generator—produce 5-10 distinct scenes, edit into narrative with transitions

VIDU Q2 on Novita AI delivers production-grade image-to-video generation through a developer-friendly API, eliminating GPU infrastructure overhead while providing cinematic camera control, multi-reference image fusion, and sub-15-second generation times. 

With 3× faster generation than Q1 and improved consistency, Q2 Turbo is optimized for high-volume social media content, rapid prototyping, and iterative workflows.

Q2 Pro adds maximum fidelity with micro-expression control and audio generation for final commercial assets.

Cost-effectiveness makes Novita’s API compelling—Pro Fast 1080p clips start at just $0.143, with off-peak mode cutting costs a further 30–40%.

Frequently Asked Questions

What’s the difference between VIDU Q2 Turbo and Q2 Pro on Novita AI?

Q2 Turbo prioritizes speed (3× faster than Q1, ~10 seconds per clip) for iterative workflows. Q2 Pro maximizes fidelity with enhanced micro-expressions, lip-sync, and audio generation—use Pro for final assets where quality exceeds speed requirements.

 How much does VIDU Q2 cost per video on Novita AI?

Pricing varies by variant, resolution, and duration (5s base):
Turbo: $0.0624 (540p) – $0.3347 (1080p)
Pro Fast: $0.0713 (720p) – $0.1430 (1080p)
Pro: $0.1472 (540p) – $0.5135 (1080p)
Text to Video: $0.0802 (540p) – $0.2677 (1080p)

What resolution and duration limits apply to VIDU Q2 on Novita?

Resolution options include 540p, 720p, and 1080p. Duration ranges from 1-10 seconds per clip. Use VIDU’s extend feature or FFmpeg stitching for longer videos.

Novita AI is an AI & agent cloud platform helping developers and startups build, deploy, and scale models and agentic applications with high performance, reliability, and cost efficiency.


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