HappyHorse 1.1 R2V

SyncDev model directory · Profile updated Oct 8, 2026

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HappyHorse 1.1 R2V generates video from a written brief and up to nine reference images on Alibaba Cloud Model Studio.

Key specifications

Specification score
10.0
License
Publisher API terms

The specification score summarizes recorded features and limits. It is not a benchmark result.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input
  • Image input

Produces

  • Video output

Capabilities

VisionStreaming

What is HappyHorse 1.1 R2V?

HappyHorse 1.1 R2V generates video from a written brief and up to nine reference images on Alibaba Cloud Model Studio.

Reference images for a planned shot

HappyHorse 1.1 R2V is a reference-to-video service. It accepts text and images and returns video. Up to nine reference images can describe a subject, setting or visual style. This makes it a candidate for a product scene or character sequence where the references matter as much as the written prompt.

Preparing the input

Use clear references with a consistent subject, then describe motion, camera movement and the intended composition separately. Images that disagree about a product’s shape or a character’s appearance make the brief harder to interpret. Start with one shot and inspect the entire clip for changes in identity, geometry, labels and background objects before building a longer sequence.

Region and video billing

Model Studio publishes region-specific per-second rates. The Singapore route lists $0.07 at 480p, $0.14 at 720p and $0.18 at 1080p. Other regions have their own rates and availability. This service does not have an ordinary language-model context window or a text-output token price; those fields remain empty in the model table.

Comparing video tools

Hold the reference set, prompt, resolution and requested duration constant. Compare the number of usable clips, time to a finished result and editing work required. A pleasing first frame does not establish that the generated motion remains coherent throughout the shot.

Sources

Model documentation

How to evaluate HappyHorse 1.1 R2V

Compare the model on the work you need to complete.

Tasks and inputs

HappyHorse 1.1 R2V is listed for Image-to-video, Text-to-video. It accepts text, image and produces video. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Choose duration, resolution and frame rate together. Compare the cost of an accepted clip, including repeat generations.

Choosing a deployment

Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.

Frequently asked questions

happyhorse-1.1-r2v is the identifier documented for the route described here.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

bullerwins

bullerwins/Wan2.2-I2V-A14B-GGUF

bullerwins/Wan2.2-I2V-A14B-GGUF is a source-linked Hugging Face repository assigned to Image-to-video. Its recorded task interface accepts image and produces video.

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