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Choose a model and set core controls
Start by choosing the video model that fits the job, then set duration, aspect ratio, resolution, and audio options based on where the clip will be reviewed or published.
Best AI Video Generator | World Model Hub
Create AI videos from text prompts or reference images for ads, product demos, social clips, and story-driven content.
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Model Selection
Veo 3.1
AI Video Workflow Examples
WMHub AI Video Generator for Ads, Product Videos, and Story-Driven Content
WMHub AI Video Generator helps teams create AI videos from text prompts or reference images for ad creatives, product demos, social clips, and story-driven content. Use one workspace to control duration, aspect ratio, resolution, and audio settings while iterating faster on review-ready video drafts.
About AI Video Generator
WMHub AI Video Generator helps teams create AI videos from text prompts or reference images for ad creatives, product demos, social clips, and story-driven content. Use one workspace to control duration, aspect ratio, resolution, and audio settings while iterating faster on review-ready video drafts.
- Create AI videos from prompts or reference images in one workspace
- Generate ad creatives, product demos, social clips, and story-driven video drafts
- Control duration, aspect ratio, resolution, and audio settings in one workflow
- Move from concept to review-ready video output with faster iteration
AI Video Generation Controls for Realism, References, and Faster Production
These are the controls that matter most when teams need usable video drafts, stronger visual direction, and faster production decisions.
Prompt-led scene generation
Turn prompts about subjects, action, camera movement, and style into video drafts for concept validation, short-form ads, and narrative exploration.
How to Create AI Videos with Text Prompts or Reference Images
Move from a prompt or source image to a review-ready video in three clear steps using the controls built into the WMHub video workspace.
2
Write a prompt or upload a reference image
Describe the subject, action, scene, camera movement, and style. Upload a reference image when you need tighter control over identity, composition, packaging, or brand direction.
3
Generate, review, and iterate on the output
Create the first draft, review motion, pacing, and visual consistency, then refine the prompt or settings to produce stronger ad creatives, demos, or story-driven clips.
AI Video Generator Use Cases for Ads, Product Launches, and Story-Driven Video Production
These are the higher-value production workflows where teams use an AI video generator to move faster without losing control over motion, pacing, or visual direction.
Paid social creative testing and ad iteration
Generate multiple short-form ad variants from one brief, then compare hooks, motion styles, framing, and pacing before spending on full production or distribution.
Product launches, demos, and feature explainers
Turn product messaging, onboarding flows, and release stories into launch-ready demo clips, feature explainers, and landing-page video drafts with faster review cycles.
Image-led product and brand video concepts
Start from keyframes, packaging visuals, or campaign references when the subject, styling, and composition need to stay closer to the brand direction than prompt-only generation allows.
Storyboard validation and pitch-ready previsualization
Use text-to-video and image-to-video drafts to validate narrative beats, camera moves, scene transitions, and stakeholder alignment before committing to a full shoot or animation pass.
Short-form brand storytelling and campaign concepts
Develop cinematic brand moments, product mood films, and campaign concept videos when the goal is to test visual direction, narrative tone, and shot rhythm early.
Creator publishing and high-frequency channel content
Produce vertical clips, promo loops, and fast-turnaround creator content for Reels, Shorts, TikTok, and channel testing when speed matters as much as output quality.
AI Video Generator FAQs for Text-to-Video and Image-to-Video
Detailed answers about AI video generation, text-to-video and image-to-video workflows, output settings, use cases, and credits.
When should I start with a text prompt instead of a reference image for AI video generation?
Start with text-to-video when you want to explore multiple ideas, camera directions, hooks, or story concepts quickly from a brief. Use image-to-video when you already have a product shot, keyframe, packaging visual, storyboard frame, or brand reference that needs to stay closer to the source material. In practice, text-to-video is often better for concept exploration, while image-to-video is better for tighter visual control, product demos, and brand-led video direction.
How should I compare AI video models for ads, product demos, or story-driven clips?
Compare AI video models against the same prompt or the same reference image so you can judge realism, motion quality, pacing, framing, and output style on equal terms. For ad creatives, focus on hook clarity, speed, and short-form variation. For product demos, look at subject consistency, packaging accuracy, and cleaner visual control. For story-driven clips, pay more attention to scene continuity, mood, camera movement, and whether the model can hold a stronger narrative direction across shots.
What kinds of reference images work best for image-to-video generation?
The best reference images are clear, well-framed assets that already contain the subject, styling, or composition you want the video to preserve. Product photos, character keyframes, packaging renders, branded campaign visuals, storyboard frames, and clean portraits usually work well. A strong reference image gives the AI video generator a better starting point for identity, layout, and visual direction than a prompt alone, especially when consistency matters.
How should I choose duration, aspect ratio, resolution, and audio settings for AI videos?
Choose settings based on the publishing goal of the video. Short durations work well for ad testing, social hooks, and product motion loops, while slightly longer clips can help with demos or story-driven pacing. Use 9:16 for vertical social video, 16:9 for landing pages, demos, and YouTube-style content, and 1:1 when you need square creative for paid social. Resolution and audio settings should match the review stage: lighter settings are useful for fast iteration, while higher-quality output is better once the direction is approved.
What types of video projects work best with this AI video workflow?
This AI video workflow is especially useful for paid social creatives, product demos, launch videos, feature explainers, storyboard validation, concept trailers, and short-form brand storytelling. It also works well for creator publishing, campaign testing, and internal review drafts where teams need to move from idea to video output quickly. The strongest use cases are usually the ones where speed, iteration, and clear visual direction matter more than building a full production pipeline from the start.
How are credits calculated across different AI video models and settings?
Credit usage depends on the selected AI video model and on the settings used for each generation. Duration, resolution, audio options, and model-specific output quality can all affect the final cost. In most workflows, faster exploratory drafts cost less than higher-quality outputs prepared for review or delivery. WMHub shows the expected credit usage before you generate, so teams can compare cost alongside speed, control, and output quality when planning text-to-video or image-to-video work.
Can I use AI images, product photos, or illustrations as inputs for image-to-video?
Yes. Image-to-video works well with AI-generated keyframes, product photos, packaging renders, portraits, illustrated scenes, and storyboard frames as long as the source image clearly shows the subject and composition you want to preserve. The cleaner and more intentional the starting frame is, the easier it becomes to guide motion, camera behavior, and overall visual identity in the generated clip.
How specific should my prompt be about motion, camera movement, and scene transitions?
The best prompts describe the subject, action, camera perspective, movement style, pacing, and mood in one clear instruction set. Instead of asking for a generic cinematic video, say whether the scene should push in, pan, orbit, rack focus, reveal packaging details, or hold on a product hero shot. Clear motion language usually leads to more usable outputs than prompts that only describe static appearance.
How can I keep a product, character, or brand look more consistent across multiple video variations?
Use the same reference image, model, aspect ratio, and core prompt structure across versions, then change only the variable you are testing such as hook, camera move, background, or pacing. This is especially important for ad variants, product demos, and brand storytelling where the subject identity needs to stay stable while the creative angle changes. Consistency usually improves when teams iterate from a strong approved frame instead of starting every version from scratch.
What should I adjust first if a generated video feels too static, too chaotic, or off-brief?
Start by checking whether the reference image and prompt are doing the same job. If the clip feels too static, add clearer motion verbs, camera direction, or a stronger action cue. If it feels chaotic, simplify the scene request and reduce competing actions in the same prompt. If it feels off-brief, tighten the subject, brand cues, and framing requirements before changing models. Small, targeted prompt and reference changes usually improve results faster than fully restarting the workflow.
How Marketing and Content Teams Use This AI Video Generator
Typical feedback from creators, growth teams, and brand marketers using AI video in real production loops.
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We use it to test multiple ad creative directions from one brief, which makes it much easier to find a winning video hook before full production.
Mia L.
Creative Producer“
For paid social, the biggest value is turning one campaign idea into multiple short-form video variants without rebuilding the workflow each time.
Noah T.
Performance Marketing Lead“
Reference-image workflows made it much easier to keep product styling, packaging, and brand direction consistent across campaign video drafts.
Ava C.
Brand Designer“
For social teams, faster testing of pacing, motion, and visual style means more publishable video directions in less time.
Ethan R.
Video Editor“
Review-ready product video drafts help our team align on messaging, pacing, and visual direction before committing to a full production cycle.
Sophia M.
Product Marketing Manager“
It works well for story-driven video concepts because we can move from prompt to review-ready draft quickly without losing control of pacing and visual direction.
Liam K.
Creative Strategist