--- title: Wan 3.0 Reference To Video API | Image to Video | ModelsLab description: Keep characters and objects consistent across every shot with the Wan 3.0 reference-to-video API on ModelsLab. Multi-image conditioning, one clean API url: https://modelslab.com/models/alibaba_cloud/wan3.0-r2v.md canonical: https://modelslab.com/models/alibaba_cloud/wan3.0-r2v type: product component: Playground/Endpoint/Index generated_at: 2026-08-25T06:15:31.266645Z --- [![Wan 3.0 Reference to Video thumbnail](https://assets.topadvisor.com/media/_solution_logo_09222023_8164684.png)](https://modelslab.com/models/alibaba_cloud)Wan 3.0 Reference To Video --- [by Alibaba Cloud](https://modelslab.com/models/alibaba_cloud)Feed Wan 3.0 one or more reference images and generate video that keeps faces, characters, and objects consistent shot after shot — ideal for branded content, avatars, and multi-scene storytelling via the ModelsLab API. `wan3.0-r2v` Closed Source Model [LLMs.txt](https://modelslab.com/models/alibaba_cloud/wan3.0-r2v/llms.txt) [API Playground](/models/alibaba_cloud/wan3.0-r2v)API DocumentationVibe CodeRelated ModelsDeveloper SupportModel Specs Input --- Image URL Add Images orAdd URL File preview Reference Audio Add Audios orAdd URL Reference Video Add Videos orAdd URL Prompt At a Qin-dynasty battlefield site on a loess plateau, the setting sun is blood-red, a broken war chariot half-buried in yellow earth, and wind whips up sand. The shot racks focus from the chariot wreckage to a woman in red holding a pipa on a distant slope; she begins to play "Ambush from Ten Sides," the steel strings producing sharp, piercing tones like clashing weapons, her right-hand rolling fingers building a dense wall of sound like ten thousand galloping horses, and sweeps like blade slashes. From the first note the camera charges forward, its speed increasing in sync with the rolling-finger density; her left hand pushes and pulls the high positions so the pitch rises sharply like a warhorse's neigh, while the wind is swallowed by the pipa as battlefield cries overwhelm everything. The final sweep explodes from lowest to highest string, then absolute silence for two seconds, only the wind remains. Duration Resolution Aspect Ratio Advanced Settings Customize your input with more control. Configure Login to Generate **480P** will cost **$0.05/s** , **720P** will cost **$0.1/s** & **1080P** will cost **$0.2/s** Output --- Idle Unknown content type Looking for something different? --- Models that trade off differently against the one you are viewing ### Better quality Newer flagship models that generally produce stronger results. 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Access Wan 3.0 Reference To Video through our API with pay-per-use pricing and no minimum commitments. ### Technical Specifications Model IDwan3.0-r2v ProviderAlibaba Cloud CategoryVideo Models TaskVideo Generation Price$0.05 per generation, scaled by your settings AddedAugust 24, 2026 ### Key Features - AI video generation from text or image input - Motion control and camera movement parameters - Adjustable frame rate and video duration - High-quality cinematic output up to 1080p - Native audio generation support ### Quick Start Integrate Wan 3.0 Reference To Video into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/video-fusion/image-to-video" headers = { "Content-Type": "application/json" } data = { "model_id": "wan3.0-r2v", "prompt": "your prompt here", "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` ### Pricing Wan 3.0 Reference To Video API costs $0.05 per generation, scaled by your settings. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - Marketing and promotional video creation - Social media short-form video content - Product demos and explainer videos - Creative storytelling and animation [Browse Video Models](https://modelslab.com/models?feature=videogen) [More from Alibaba Cloud](https://modelslab.com/models/alibaba_cloud) [View Pricing](https://modelslab.com/pricing) Wan 3.0 Reference To Video FAQ --- ### What is Wan 3.0 Reference To Video? Wan 3.0 Reference To Video is a video generation AI model by Alibaba Cloud available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. ### How do I use the Wan 3.0 Reference To Video API? You can integrate Wan 3.0 Reference To Video into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "wan3.0-r2v" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Wan 3.0 Reference To Video cost? Wan 3.0 Reference To Video costs $0.05 per generation, scaled by your settings. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models. ### What is the Wan 3.0 Reference To Video model ID? The model ID for Wan 3.0 Reference To Video is "wan3.0-r2v". Use this ID in your API requests to specify this model. ### Do I need a paid plan to use Wan 3.0 Reference To Video? Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-08-25*