Van is a flagship AI video series built on the Wan 2.5 and 2.6 frameworks, and the Van API unifies its full text-to-video and image-to-video lineup on Atlas Cloud. Render cinematic clips up to 1080p, then pick speed-optimized 2.6 models for fast iteration or cost-efficient 2.5 variants for large batches. Every model ships on Day-0 behind one OpenAI-compatible key with transparent pay-as-you-go pricing. Start building today.
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Match each text-to-video and image-to-video endpoint to your resolution, duration, and budget.
| Modality | Description |
|---|---|
| Van-2.6 T2V API (Text To Video) | Turn plain text prompts into cinematic video up to 15 seconds long at resolutions reaching 1920x1080. Multi-shot sequencing and native audio generation run in a single pass, and the speed-optimized pipeline holds a standard $0.068 per call that suits fast iteration, batch runs, and prompt testing. |
| Van-2.6 I2V API (Image To Video) | Van-2.6 image-to-video animates a source image and guiding prompt into 1080p clips of 5, 10, or 15 seconds. With multi-shot control and automatic audio built in, it keeps the same $0.068 rate that makes previews and high-volume asset generation practical. |
| Van-2.5 I2V API (Image To Video) | Need animated assets at scale without a premium price? This image-to-video endpoint converts a still into 720p or 1080p clips of 5 or 10 seconds at $0.054 per call, the lowest rate in the family. That economy fits preview workflows and mass production of animated content. |
| Van-2.5 T2V API (Text To Video) | Prompts become cinematic clips at 720p or 1080p with stable motion and synchronized native audio through Van-2.5 text-to-video. Running 5 or 10 seconds at $0.068 per call, it is built for prompt-faithful storytelling and social-ready video drafts. |
The Van-2.6 API empowers storytellers to generate complex video sequences that mimic professional cinematic editing within a single generation task. By orchestrating multiple camera angles and seamless shot transitions in a continuous flow, it maintains perfect narrative consistency while delivering dynamic visual perspectives. It is the ultimate solution for automated storyboarding, immersive cinematic storytelling, and high-impact long-form video production.
The Van Model API elevates the Wan 2.5 and 2.6 frameworks into stunning high-resolution outputs with absolute content consistency. By refining cinematic 3D VAE textures and pixel-perfect clarity, it delivers professional-grade video quality that surpasses original benchmarks. It is the definitive choice for premium storytelling, sharp detail restoration, and high-end cinematic production.
The Van Model API leverages proprietary compute distillation to shatter the "quality-to-cost" barrier with lightning-fast inference speeds. By optimizing the Flow Matching architecture, it enables massive-scale generation at a fraction of traditional operational costs. It is the ultimate solution for high-frequency enterprise workflows, budget-conscious scaling, and rapid creative iteration.
The Van Model API offers unparalleled creative freedom by reducing model constraints while maintaining complex 3D VAE motion dynamics. By deeply understanding fluid physics and intricate camera language, it enables developers to craft unrestricted, high-impact cinematic sequences. It is the premier engine for innovative visual experimentation, complex scene transitions, and boundary-pushing artistic expression.
Generate dialogue, ambient sound, and background music alongside the picture in a single request, with audio enabled by default across the 2.5 and 2.6 endpoints. Because sound is aligned to on-screen motion, speaking characters stay in sync and each scene carries its own atmosphere. Supply an external audio track whenever you need to steer timing. The payoff is sound-complete clips ready for social, ads, or product demos without a separate scoring step.
Start from a written prompt or animate an existing still, since every tier ships both text-to-video and image-to-video endpoints under one key. Text-to-video composes a scene from description alone, while image-to-video preserves the details of your source frame and sets them in motion. Both paths share the same audio, resolution, and duration controls. Teams can storyboard from words, then bring finished artwork or product photography to life through an identical workflow.
Whether you need a widescreen 1920x1080 master, a 1080x1920 vertical cut, or a 1440x1440 square, output dimensions are set by a single parameter, and clips can run 5, 10, or 15 seconds on the 2.6 tier. Resolution scales from 720p up to full 1080p to balance quality against budget. One prompt can therefore feed a widescreen pre-roll, a vertical story, and a square feed post without re-editing, keeping multi-platform campaigns on one pipeline.
The same prompt, generated by Van and other leading video models: commercial advertisement and cinematic video
Create a 10-second cinematic commercial video for a compact AI translation device. Scene 1, 0-2s: Clean studio macro close-up of a small handheld translation device on a white desk. Smooth matte metal body, tiny screen, rounded edges, soft daylight reflections. Slow push-in camera movement. Scene 2, 2-5s: A hand picks up the device and taps the screen. The screen lights up with a simple waveform animation. Add a soft touch sound and a subtle startup chime. Keep the device design, screen position, size, and material exactly consistent. Scene 3, 5-8s: Medium shot in a bright airport lounge. A traveler holds the same device while speaking to another person. The device shows a glowing translation waveform. Natural hand motion, clean background, realistic ambient airport sound. Scene 4, 8-10s: Final hero shot: the device stands upright on the desk again, screen glowing softly, with a clean product tagline space above it. Camera slowly pulls back. Minimal, premium technology commercial look. Requirements: - Maintain the exact same translation device design across all shots - Keep the screen shape, button position, metal texture, and product scale consistent - Use readable cinematic camera control: macro close-up, hand interaction, lifestyle usage shot, final hero shot - Bright clean lighting, realistic reflections, stable product geometry - Synchronize audio with action: screen tap, startup chime, soft voice waveform, airport ambience - No warped hands, no changing device shape, no inconsistent screen layout - High-end tech commercial style, clean composition, 1080p
Van 2.6
HappyHorse 1.0
Wan 2.7
Create a 10-second cinematic commercial video for an AI cloud platform dashboard. Scene 1, 0-2s: Close-up of a laptop screen showing a clean AI cloud dashboard interface. Floating data cards display model usage, GPU status, and video generation progress. Bright modern office lighting, shallow depth of field, slow push-in camera movement. Scene 2, 2-5s: A developer’s hand types a short command on the keyboard. The dashboard instantly updates: a progress bar moves smoothly from 20% to 100%, and small preview thumbnails appear on the screen. Add soft keyboard sounds and a subtle interface notification chime. Scene 3, 5-8s: Medium shot of the developer looking at the generated video preview on the laptop. The office background remains clean and consistent. The same dashboard layout, laptop design, and UI color structure must stay stable. Scene 4, 8-10s: Final hero shot: the laptop is centered on the desk, showing the completed AI video result on the dashboard. Camera slowly pulls back. Leave clean empty space on the right side for a product slogan or logo. Requirements: - Maintain the same laptop, dashboard layout, UI panels, and office setting across all shots - Use cinematic camera control: screen close-up, keyboard interaction, medium user shot, final hero pullback - Keep UI elements readable and visually consistent, without random text distortion - Synchronize audio with action: keyboard typing, progress completion chime, soft office ambience - Clean tech commercial style, realistic reflections, stable screen geometry - No warped hands, no changing laptop shape, no inconsistent dashboard design - Bright modern SaaS advertising look, polished composition, 1080p
Van 2.6
HappyHorse 1.0
Wan 2.7
From sound-synced social clips and high-volume ad production to cinematic previsualization, the Van API turns text and images into fast, low-cost, high-resolution video across every stage of a creative pipeline.
Van 2.5 converts prompts into 720p and 1080p clips with native audio sync, producing voiceover, music, and ambient effects in a single pass. Social teams launch campaign videos without a separate sound editing workflow.
Speed-optimized Van 2.6 keeps latency low across large batches, so entire prompt sets render in one sitting. This suits agencies producing dozens of ad variants and localized cuts on tight campaign deadlines.
Animate static catalog photos into dynamic scenes with Van 2.5 image-to-video, the most affordable option in the family. Online stores turn flat product shots into scroll-ready motion for listings and ads.
Testing a concept before committing render budget? Van 2.6 keeps latency low for fast iteration, so creators preview prompts, refine shots, and explore multiple creative directions before a costly final pass.
High-resolution cinematic sequences come straight from a text prompt through Van 2.6, giving filmmakers fluid motion and consistent framing. Directors and previs artists visualize scenes early, mapping shots and pacing before a physical shoot.
With 720p and 1080p output in both landscape and portrait, Van 2.5 tailors each clip to its channel. Creators spin one concept into widescreen and vertical cuts for YouTube, TikTok, and Reels.
Line up the Van API against the top video engines on Atlas Cloud and see how it matches their resolution, duration, and native audio while charging a fraction of the per second price.
| Model | Provider | Max Resolution | Max Duration | Native Audio | Price (per second) |
|---|---|---|---|---|---|
| Van-2.6 API (Text to Video) | Atlas Cloud | 1080p | 15s | √ | $0.068 / sec |
| Van-2.6 API (Image to Video) | Atlas Cloud | 1080p | 15s | √ | $0.068 / sec |
| Van-2.5 API (Text to Video) | Atlas Cloud | 1080p | 10s | √ | $0.068 / sec |
| Van-2.5 API (Image to Video) | Atlas Cloud | 1080p | 10s | - | $0.054 / sec |
| Wan-2.7 API (Text to Video) | Alibaba | 1080p | 15s | √ | $0.10 / sec |
| Seedance 2.0 API (Text to Video) | ByteDance | 1080p | 15s | √ | $0.112 / sec |
| Kling v3.0 Pro API (Text to Video) | Kuaishou | 1080p | 15s | √ | $0.112 / sec |
| Veo 3.1 API (Text to Video) | 4K | 8s | √ | $0.20 / sec |
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Combining the advanced Van models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Van, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
The Van API is Atlas Cloud's endpoint for the Van family of AI video models, built on the Wan 2.5 and 2.6 frameworks. It converts text prompts and static images into high-resolution cinematic video, using 3D VAE and Flow Matching to keep motion fluid and content consistent. One OpenAI-compatible key gives you Day-0 access to every model in the series with pay-as-you-go pricing.
Van covers both text-to-video and image-to-video generation, so you can direct a scene from a written prompt or animate an existing image into motion. Creators use it for cinematic storytelling, marketing clips, character animation, and rapid creative prototyping. Because inference is speed-optimized, it suits high-frequency workflows that would be slow or costly on heavier models.
Four models sit under the Van family: Van-2.6 and Van-2.5, each offered in text-to-video and image-to-video modes. The 2.6 models prioritize lower latency while retaining strong visual fidelity, and the 2.5 models add cost-effective options for preview workflows and large-scale asset production. You reach all of them through the same endpoint without switching keys or SDKs.
Sign up on Atlas Cloud, generate one API key, and point your existing OpenAI-compatible client at the Van endpoint. Send a prompt or a source image along with your chosen model name, and the API returns a generated video. There is no separate onboarding per model, so you can start building today across the whole Van family.
Van 2.5 generates video at 720p and 1080p with stable motion and prompt-faithful visuals. Higher resolutions and longer clips consume more compute, so your output settings influence generation cost. Check the playground parameter schema for each model to confirm the exact resolution and duration options it exposes.
Yes. Van 2.5 produces native audio synced to the visuals in a single pass, so a single prompt can return a finished clip with sound rather than a silent draft. That removes the manual step of aligning a separate soundtrack after generation.
The Van API uses transparent pay-as-you-go pricing with no subscription. Van-2.5 image-to-video starts at $0.054 per second, while Van-2.5 text-to-video, Van-2.6 text-to-video, and Van-2.6 image-to-video are priced at $0.068 per second. You pay only for what you generate, and output settings such as resolution and length affect the final charge.
Van is Atlas Cloud's optimized flagship series built on the Wan 2.5 and 2.6 architectures. Through proprietary compute distillation it targets faster inference and lower operational cost while preserving the base model's motion and logic. In practice you get the Wan foundation delivered through one Van API with consistent pricing and Day-0 access.
Van 2.6 is the newer generation, tuned for lower latency while holding strong visual fidelity, which suits iteration, batch generation, and prompt testing. Van 2.5 remains a strong choice when cost matters most, with image-to-video priced at the lowest point in the family. Both are reachable through the same endpoint, so you can switch models by name as project needs change.
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