# HyperFrames
> Every top AI video model in one canvas.

## Overview
HyperFrames is a generative video orchestration platform with one interface and credit balance for multiple AI video models, including Kling, Google Veo, and Wan.

## Core Features
- Multi-model text-to-video and image-to-video generation
- One credit balance across supported models
- Model-aware duration, aspect ratio, and scene controls
- REST API and asynchronous task tracking

## Published guides
- [Everygen AI Video Generator: A Practical Workflow Guide](https://hyper-frames.com/blog/everygen-ai-video-generator): Compare an Everygen AI video generator workflow with a focused multi-model canvas. Plan shots, check exports, and choose a practical path for your next video.
- [Prototyping Open-World Game Environments: Multi-Model AI Video Routing on One Canvas](https://hyper-frames.com/blog/multi-model-video-canvas-urban-game-prototyping): How routing prompts across Kling, Google Veo, and Wan on a single canvas accelerates urban game concept design and cutscene iteration.
- [Character Consistency in AI Video: A Multi-Shot Production Workflow](https://hyper-frames.com/blog/character-consistency-ai-video): Keep an AI-video character recognizable across shots with a continuity bible, reference images, controlled angles, prompt anchors, and frame-level review.
- [Negative Prompts for AI Video: Exclude Defects Without Fighting the Shot](https://hyper-frames.com/blog/negative-prompts-for-ai-video): Write short, visible, model-aware negative prompts for AI video and use a repeatable debugging process for anatomy, camera, text, and continuity defects.
- [How to Storyboard an AI-Generated Video Before Spending Credits](https://hyper-frames.com/blog/ai-video-storyboard-workflow): Turn a message into a shot list, continuity plan, prompt packet, and review workflow so AI-generated clips edit into one coherent video.
- [AI Video Aspect Ratios: Plan 16:9, 9:16, and 1:1 Before You Generate](https://hyper-frames.com/blog/ai-video-aspect-ratios): Choose an AI video aspect ratio by distribution context, compose safe frames, avoid destructive crops, and build intentional horizontal, vertical, and square versions.
- [AI Product Video Prompts: Build Better Shots From Real Assets](https://hyper-frames.com/blog/ai-product-video-prompts): Plan AI product video prompts for hero shots, demonstrations, texture details, and social ads while protecting product geometry, labels, and claims.
- [Image-to-Video Prompt Guide: Animate a Still Without Losing It](https://hyper-frames.com/blog/image-to-video-prompt-guide): Prepare a strong source frame, prompt motion and camera behavior, preserve product or character identity, and troubleshoot image-to-video drift.
- [AI Video Camera Movement Prompts: A Practical Shot Guide](https://hyper-frames.com/blog/ai-video-camera-movement-prompts): Choose and prompt pans, tilts, dollies, tracking shots, orbits, cranes, zooms, and handheld movement without creating contradictory camera directions.
- [How to Write AI Video Prompts That Produce Usable Shots](https://hyper-frames.com/blog/how-to-write-ai-video-prompts): Build clearer AI video prompts with a practical subject-action-camera-scene structure, then diagnose motion, composition, and continuity problems.
- [Text-to-Video for Marketing in 2026: A Practical Playbook](https://hyper-frames.com/blog/text-to-video-for-marketing): Use AI text-to-video for ads, social, and product marketing while choosing models per shot and keeping cost and usage rights under control.
- [How Multi-Model AI Video Routing Works](https://hyper-frames.com/blog/how-multi-model-video-routing-works): What it takes to put Kling, Veo, and Wan behind one prompt box: a model registry, scene-aware endpoints, async webhooks, and idempotent billing.
- [Kling vs Veo vs Wan: Which AI Video Model Should You Use?](https://hyper-frames.com/blog/kling-vs-veo-vs-wan): A practical comparison of Kling, Google Veo, and Wan across motion, prompt adherence, duration, cost, and the jobs each model best fits.