Core AI Models Supported by VividAI
Compare Seedance 2.0, GPT Image 2, and HappyHorse 1.0 by input, output, and use case before choosing the right VividAI workflow.
| Model | Choose when | Starting asset | Target output | Next action |
|---|---|---|---|---|
| Seedance 2.0 | You need a fuller video shot, launch clip, ad draft, or multimodal creative direction. | Text brief, product image, character image, keyframes, or multiple references. | Preview-ready AI short video that can be refined through reruns or polishing. | View Seedance |
| HappyHorse 1.0 | You already have one product, character, or poster image and need a light loop, transition, or social motion draft. | One clear reference image plus motion and subject-preservation constraints. | A subject-stability-first 720p/1080p loop or lightweight motion direction. | View HappyHorse |
| GPT Image 2 | The goal is a poster, commerce hero image, infographic, brand visual, beauty report, or reusable static asset. | Text prompt, template variables, selfie, product image, or report structure. | A downloadable image, poster, report visual, or reference frame for image-to-video. | View GPT Image 2 |
Seedance 2.0
An AI video model for launches, short ads, and multimodal creative work, built for fast drafts from text, images, and keyframes.
GPT Image 2
An image model for posters, commerce visuals, infographics, brand systems, and beauty reports with reusable prompt templates.
HappyHorse 1.0
A lightweight model for animating characters, product shots, and campaign visuals into social teasers and commerce loops.
Which VividAI model should I choose first?
Start with Seedance 2.0 or text-to-video when you only have a script or brief, HappyHorse 1.0 or image-to-video when you already have a product, character, or poster image, and GPT Image 2 when the goal is a poster, report, or static commerce visual.
How are VividAI model pages different from tool pages?
Model pages explain the use cases, inputs, outputs, and related prompts for Seedance 2.0, HappyHorse 1.0, and GPT Image 2; tool pages are where users upload assets, set parameters, and generate content.
Does choosing a model guarantee the final result?
No. Model selection helps match the starting asset to the target output, but subject consistency, text readability, motion stability, and final quality still depend on prompts, references, and reruns.