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.
SyncDev model directory · Profile updated Oct 8, 2026
HappyHorse 1.1 R2V generates video from a written brief and up to nine reference images on Alibaba Cloud Model Studio.
The specification score summarizes recorded features and limits. It is not a benchmark result.
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
Produces
HappyHorse 1.1 R2V generates video from a written brief and up to nine reference images on Alibaba Cloud Model Studio.
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.
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.
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.
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.
Compare the model on the work you need to complete.
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.
Choose duration, resolution and frame rate together. Compare the cost of an accepted clip, including repeat generations.
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.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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bullerwins
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.
calcuis
Hugging Face repository for Image-to-video.
chfm
Hugging Face repository for Image-to-video.