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  1. Home
  2. /Model
  3. /Vidu
  4. /viduq2 / image-to-image
Vidu
viduq2 / image-to-image
Documentation
Documentation
The vidu/viduq2 model represents a significant leap in generative video technology, specifically optimized for high-fidelity image-to-video transformations. Available through the robust GPT Proto infrastructure, vidu/viduq2 allows developers and creators to breathe life into static imagery with unparalleled temporal coherence. Unlike standard generators, vidu/viduq2 maintains the structural integrity of the source image while applying complex fluid dynamics and cinematic camera movements. By utilizing the advanced vidu/viduq2 architecture on GPT Proto, users can achieve studio-quality results without the overhead of local hardware, leveraging a transparent billing system that prioritizes user control over every Top-up Balance.

$ 0.024
$ 0.03

image

image

$ 0.024
$ 0.03

image

image

API

Image To Image

curl --request POST "https://gptproto.com/api/v3/vidu/viduq2/image-to-image" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "Put a hat on the cat",
    "images": [
      "https://tos.gptproto.com/resource/cat.png"
    ],
    "aspect_ratio": "1:1",
    "resolution": "1080p",
    "seed": 1
  }'

Query Result

curl --request POST "https://gptproto.com/api/v3/predictions/{{id}}/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json"
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Examples
Bold pop art poster, 4K resolution, vertical format.
Use image2 as the reference for Albert Einstein’s face and famous tongue-out expression, keeping his facial features clearly recognizable.
Place Einstein as the central figure in the composition, stylized in pop art with thick black outlines, simplified shading and graphic shapes.
Use image1 as the reference for the background: transform the starry sky into a vibrant pop art pattern with large graphic stars, cosmic shapes and halftone dots.
Strong contrasting colors: cyan, magenta, yellow, electric blue and hot pink, screen-print style.
Add abstract rays and comic-style bursts radiating from Einstein’s head to suggest genius and explosive ideas, no text.
Clean poster design, flat color blocks, sharp edges, slight halftone texture, retro pop art, Andy Warhol meets cosmic sci-fi, highly detailed.
1:1 frame
Surreal dreamcore landscape, soft focus, hazy atmosphere.
Use image1 as the reference for the overall scene: the rolling green hills, the wide striped field, the clear blue sky with a single large pink cloud, and the blue–pink color palette.
Remove the pink house in the center and replace it with a single astronaut standing front-facing in the exact middle of the field, small in scale, perfectly aligned with the central perspective lines. The spacesuit is simple and realistic, softly reflecting blue and pink light.
Add several white human hands emerging from the grass in the foreground and midground, like plants growing from the ground. Each hand has a single realistic eye on the palm, calmly staring toward the viewer.
Maintain the original minimal composition and calm mood of image1, but introduce a subtle collage feeling: slightly cut-out shapes, layered textures, edges that feel like paper collage blended into the scene.
Realistic photo style with dreamcore vibes, blue and pink tones, soft blur, gentle vignetting, light film grain, uncanny yet quiet atmosphere, no text.
Realistic street photography in Japan at sunset, 35mm film look.
Use image1 as the reference for the alley: same buildings, shop signs, vending machines, bicycles, perspective and warm evening light on the wet pavement.
Replace the single person in the center with a three-member Japanese band performing in the street.
On the left side of the alley, place a keyboard player standing behind a portable electronic keyboard on a stand.
In the center, place the guitarist who is also the lead singer, facing the camera slightly, holding an electric guitar and singing into a microphone stand.
On the right side, near the vending machines, place the drummer sitting behind a compact drum kit.
Keep their outfits casual and modern, like an indie band.
Preserve the original color tones and soft lighting of image1, natural lens perspective, shallow contrast, subtle grain, realistic candid street photo style, no added text.
Cinematic sci-fi scene in orbit above Earth.
Use image1 as the reference for the overall composition: the curved ring structure, the angle of the Earth below, the lighting and perspective.
Transform the ring into a colossal space ferris wheel and amusement park: along the outer edge of the ring add large transparent cabins, glowing roller-coaster tracks, small spinning rides and observation pods, all evenly spaced.
The cabins are lit with warm neon colors — cyan, magenta, orange — creating a halo of lights around the dark side of the ring.
Keep the realistic detail level and materials from image1, metal panels, vents and structures, but blend them with the new attractions so it feels like a single coherent design.
Deep black space in the background with a few stars, Earth below with soft blue atmosphere, high resolution, realistic cinematic sci-fi style, no text.

Revolutionize Visual Storytelling with vidu/viduq2 on GPT Proto

Experience the pinnacle of AI-driven video synthesis by integrating the vidu/viduq2 model into your creative workflow. Designed for high-end production, vidu/viduq2 transforms static assets into dynamic cinematic masterpieces with precision and speed. Start building your next project on GPT Proto today.

Bridging the Gap Between Static Images and Cinematic Life

For years, the primary challenge in AI video generation has been the loss of detail during the transition from a static frame to a moving sequence. The vidu/viduq2 model addresses this pain point directly by utilizing a sophisticated dual-attention mechanism that respects the original geometry of the input image. When you deploy vidu/viduq2, the model doesn't just 'hallucinate' movement; it calculates physics-based motion trajectories that align with the visual cues provided in your reference files.

Technical analysis of the vidu/viduq2 architecture reveals a high-dimensional latent space specifically tuned for temporal consistency. This means that if you are using vidu/viduq2 to animate a character or a landscape, the textures and lighting remain stable throughout the entire generation cycle. This level of stability is why many professional studios are migrating their pipelines to use vidu/viduq2 on GPT Proto, where infrastructure stability meets algorithmic excellence.

High-Fidelity Brand Advertising with vidu/viduq2

In the world of high-stakes marketing, visual consistency is non-negotiable. My experience testing vidu/viduq2 for commercial use-cases shows that it excels at maintaining product branding across multiple video variations. By feeding a high-resolution product shot into vidu/viduq2, creators can generate dozens of social media-ready clips that look like they were shot by a professional camera crew. The model’s ability to interpret lighting and shadows ensures that the vidu/viduq2 output integrates seamlessly with existing live-action footage.

Architectural Visualization and Virtual Tours

Real estate and architecture professionals are finding immense value in vidu/viduq2 for creating immersive walkthroughs from single blueprints or renders. The vidu/viduq2 engine handles complex light bounces and reflections within interior spaces with a level of realism that was previously only available through hours of manual 3D rendering. By leveraging the vidu/viduq2 API on GPT Proto, firms can automate the creation of these walkthroughs, significantly reducing time-to-market for property listings.

"The architectural integrity preserved by vidu/viduq2 during image-to-video conversion is a landmark achievement in neural rendering. It understands the 'weight' of objects in a 3D-aware manner that competitors simply cannot match." — Senior Technical Artist at GPT Proto.

Unmatched Integration Benefits on GPT Proto

Running vidu/viduq2 through the GPT Proto platform provides more than just raw compute power. It offers an ecosystem designed for enterprise-grade reliability and seamless scaling. With our optimized API endpoints, latency for vidu/viduq2 generations is minimized, allowing for real-time creative iteration. Comprehensive technical documentation is available at docs.gptproto.com to help you get started with your first vidu/viduq2 implementation in minutes.

Feature Standard Video Models vidu/viduq2 on GPT Proto
Temporal Coherence Low (Flickering) Ultra-Stable vidu/viduq2 Sync
Reference Accuracy Approximate Pixel-Perfect vidu/viduq2 Mapping
Resolution Support Up to 720p Full 1080p/4K Upscaling for vidu/viduq2
Billing Model Opaque Credit Systems Transparent Top-up Balance Model

Transparent Usage and Scalable Pricing

At GPT Proto, we believe in clarity. That is why we have eliminated confusing credit systems for vidu/viduq2. Instead, users simply Add Funds to their account as needed. This 'Top-up Balance' approach ensures you only pay for the exact resources your vidu/viduq2 tasks consume. You can monitor your real-time usage and manage your project budgets directly through the User Dashboard.

Whether you are a solo developer or a large-scale agency, the flexibility of running vidu/viduq2 on GPT Proto allows you to scale up during peak production periods and scale down instantly. No hidden fees, no expiring points—just high-performance AI video. To stay updated on the latest optimizations for vidu/viduq2, visit our official blog for tutorials and deep-dives.

In conclusion, the vidu/viduq2 model is not just another video generator; it is a professional tool for those who refuse to compromise on quality. By combining the power of vidu/viduq2 with the developer-centric features of GPT Proto, we are setting a new standard for the future of digital content creation.

How to Get a viduq2 API Key

Getting a viduq2 API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.024 it's a cheaper viduq2 API key than going direct, and one key works across every model on the platform. Full viduq2 Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including viduq2, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to viduq2.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to viduq2 via GPT Proto and see instant AI-powered results.

Get API Key

Technical Deep Dive: The vidu/viduq2 Intelligence Hub

Comprehensive answers to the most common inquiries regarding the vidu/viduq2 model and its deployment on GPT Proto.

What makes vidu/viduq2 different from previous Vidu versions?

The vidu/viduq2 model introduces enhanced temporal layers that reduce motion blur and improve the consistency of fine textures during high-motion sequences compared to its predecessors.

How do I manage billing for vidu/viduq2 on GPT Proto?

GPT Proto uses a direct 'Top-up Balance' system. Simply Add Funds to your account to start generating with vidu/viduq2 without worrying about expiring credits.

Does vidu/viduq2 support specific aspect ratios?

Yes, vidu/viduq2 on GPT Proto is highly flexible, supporting 16:9, 9:16, and 1:1 ratios to accommodate cinematic, social media, and mobile viewing formats.

What is the maximum output resolution for vidu/viduq2?

While it depends on the source image, vidu/viduq2 is optimized for high-definition outputs, with the GPT Proto infrastructure supporting upscaling for professional vidu/viduq2 workflows.

Can I use vidu/viduq2 for commercial projects?

Absolutely. Generations created using vidu/viduq2 through your GPT Proto account are suitable for commercial distribution, subject to our standard terms of service.

How long does a typical vidu/viduq2 generation take?

Thanks to GPT Proto's optimized GPU clusters, most vidu/viduq2 video sequences are rendered in under 60 seconds, depending on complexity and length.

Is there a limit to the number of vidu/viduq2 requests I can send?

GPT Proto allows for high-concurrency requests for vidu/viduq2. Your limit is primarily governed by your available Top-up Balance and tier settings.

What file formats does vidu/viduq2 accept as input?

The vidu/viduq2 model accepts all standard image formats including JPG, PNG, and WebP, ensuring easy integration into your existing vidu/viduq2 pipeline.

How does vidu/viduq2 handle human characters?

The vidu/viduq2 model features specialized anatomical priors that ensure human movement—such as walking or gesturing—looks natural and anatomically correct.

Can I refine a vidu/viduq2 generation with text prompts?

Yes, vidu/viduq2 allows for multimodal input, where you provide a reference image and a text prompt to guide the specific motion style of the vidu/viduq2 output.

Where can I find the API documentation for vidu/viduq2?

Full API references for vidu/viduq2 are available at docs.gptproto.com, including code snippets and integration guides for various programming languages.

Does GPT Proto provide technical support for vidu/viduq2?

Yes, our technical team provides dedicated support for all models, including vidu/viduq2, ensuring that your production environment remains stable.

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