Turn Visual References into Directed Video
Last verified: July 28, 2026
Reference to Video turns reference images into short generated clips guided by their visual direction. For a creative director with approved character art, a product look, or a campaign moodboard, it provides a way to move that art direction into motion without starting from a blank prompt.
The best approach is to treat the references as an art-direction system: align palette, materials, silhouette, environment, and framing, then use the prompt to specify action, camera behavior, and lighting changes. In most cases, stronger agreement between visual cues and written direction gives the generator a clearer aesthetic target, while conflicting references can reduce consistency.
This mode serves brand teams, animators, filmmakers, product marketers, and creators who need recognizable style or subject cues across a moving shot. Vidofy brings multiple leading generation models into one interface; use the comparison below to choose the right balance for each brief.
What Reference-Guided Generation Supports
Review the available inputs, output formats, and mode-wide controls before choosing a workflow.
Active models available
10 generation models
Input type
reference
Output media
video clip
Supported aspect ratios
1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9
Clip length range
3 to 16 seconds per generation
Audio generation
Available on 6 of 10 models
Compare Reference to Video Models Side by Side
This admin-curated comparison puts the full active roster against the same decision criteria: expected credits, expected runtime, quality profile, speed, output audio, and available controls. Use it to shortlist the right fit before opening a generation workspace.
| Feature | Pixverse V6 | Wan 2.7 | Happyhorse 1.1 | Seedance 2.0 | Vidu Q3 | Vidu Q2 | Vidu Q3 Turbo | Kling O3 | Wan 2.6 | Veo 3.1 Fast |
|---|---|---|---|---|---|---|---|---|---|---|
| Cost per run | 25 credits | 108 credits | 152 credits | 67 credits | 63 credits | 90 credits | 36 credits | 113 credits | 157 credits | 84 credits |
| Typical runtime | ~100s | ~150s | ~60s | ~150s | ~120s | ~120s | ~120s | ~150s | ~60s | ~136s |
| Quality tier | cinematic | cinematic | cinematic | high quality | cinematic | high quality | high quality | premium | ultra quality | cinematic |
| Speed tier | fast | fast | fast | fast | medium | fast | fast | medium | medium | fast |
| Best-known strength | Camera-led cinematic drafts | Storyboard and subject fidelity | Multi-reference cinematic motion | Complex motion and multimodal control | Camera switching with native audio | Dynamic motion with rich detail | Fast scene switching with audio | Premium scene consistency | Ultra-quality multi-shot coherence | Cinematic style and subject guidance |
| Audio in output | Yes | No | No | Yes | Yes | No | Yes | Yes | No | Yes |
| Vidofy control highlights | Seed control | Seed + first-frame input | Prompt helper | Prompt helper + web search | Seed + movement amplitude | Seed + movement amplitude | Seed + movement amplitude | Prompt helper | Negative prompt + seed + multi-shots | Prompt helper |
Which Option Fits Each Production Priority
Lower-credit routes for visual testing
Pixverse V6 is the lowest-credit cinematic route at 25 credits with a ~100s expected runtime, making it the practical choice for testing camera-led concepts. Vidu Q3 Turbo raises the spend to 36 credits and ~120s, but shifts to a high quality profile with fast scene-switching positioning.
Shortest expected wait
Happyhorse 1.1 and Wan 2.6 both carry a ~60s expected runtime. The decision is aesthetic rather than temporal: Happyhorse 1.1 uses a cinematic profile at 152 credits, while Wan 2.6 moves to ultra quality at 157 credits and adds multi-shot control in Vidofy.
Audio-led and narrative briefs
Vidu Q3 combines a cinematic profile, output audio, 63 credits, and a ~120s expected runtime. Seedance 2.0 offers high quality with audio at 67 credits and ~150s; Kling O3 moves to a premium profile at 113 credits and ~150s; and Veo 3.1 Fast provides the configured default cinematic route at 84 credits and ~136s.
High quality versus cinematic subject fidelity
Vidu Q2 is the more economical high quality choice at 90 credits with a ~120s expected runtime and controls for repeatable motion tests. Wan 2.7 costs 108 credits with a ~150s expected runtime, but its cinematic positioning and reference-oriented storyboard workflow suit briefs where subject and scene direction outweigh the extra spend.
Choose the Fit for Your Visual Brief
Use this quick guidance to pick the best option for your workflow.
Recommendation: Start with Veo 3.1 Fast when you want the configured default and a balanced cinematic profile. Choose Pixverse V6 for the lowest-credit cinematic route, Vidu Q3 Turbo for lower-credit high quality, Happyhorse 1.1 when the shortest expected wait matters, or Wan 2.6 when ultra quality outranks efficiency.
Compare One Brief Without Rebuilding the Workflow
Keep Review Context in One History Trail
Decide Visibility Before You Submit
Move from Art Direction to Reviewable Motion
Build, direct, configure, and review your clip in four focused steps.
Step 1: Build a coherent reference set
Choose clear images that agree on the subject, style, palette, materials, and environment you want the video to retain.
Step 2: Write the movement brief
Describe the main action, camera behavior, lighting changes, pacing, and final visual beat without contradicting the supplied art direction.
Step 3: Match settings to delivery
Select a generation option and confirm that its supported duration, aspect ratio, audio behavior, and controls fit the intended output.
Step 4: Generate, inspect, and refine
Review subject fidelity, motion, composition, and style continuity, then simplify or clarify the brief before generating another version.
Before You Generate: Reference to Video Pre-Flight
Verify the visual inputs, motion brief, format, and required controls before clicking Generate.
The visual cues compete with one another
Cause: The supplied images may disagree on palette, costume, subject design, lighting, or environment.
Fix: Before you generate, verify that every image supports the same essential art direction and remove any input that introduces an unnecessary alternative.
Retry: Retry after reducing the set to the clearest, most compatible visual cues.
The subject may drift during movement
Cause: The requested action may obscure defining traits, or the visual set may not show enough useful angles.
Fix: Before you generate, verify which facial, product, costume, or silhouette details must remain visible and keep the dominant action easy to read.
Retry: Retry with simpler choreography or clearer coverage of the subject.
The shot contains unstable or confused motion
Cause: The brief may combine too many actions, camera moves, transitions, or interacting subjects within one short clip.
Fix: Before you generate, verify that the prompt has one dominant action, one primary camera move, and a clear end state.
Retry: Retry after splitting a complex sequence into a simpler visual beat.
A required output control may be unavailable
Cause: Audio, aspect ratios, duration options, negative prompts, seed control, and other settings are not universal across the mode.
Fix: Before you generate, verify that the selected option exposes every control required by the delivery brief.
Retry: Retry after choosing an option whose supported settings match the project.
Frequently Asked Questions
If I'm a creative director, what is Reference to Video?
It is an AI video workflow that uses visual inputs to guide the style, subject, character, product, or environment of a generated moving clip. You provide the visual direction and a written brief describing the action, camera, lighting, and intended result.
If I'm a brand team, what makes a strong set of visual inputs?
Use sharp images that agree on the traits the output must retain. Keep the product design, character appearance, palette, materials, and environment consistent, and remove images that introduce conflicting wardrobe, lighting, or styling unless that variation is intentional.
If I'm an animator, how does reference-guided generation preserve style?
The generator conditions the moving output on visual information extracted from the supplied material while also following the motion prompt. Maintaining a recognizable identity or style alongside natural movement remains a core technical challenge, so focused references and restrained choreography usually provide a clearer target.
If I'm optimizing expected credit use, which featured model should I try first?
Pixverse V6 is the lowest-credit cinematic option in the featured set. Vidu Q3 Turbo is the lower-credit alternative when you prefer a high quality profile, output audio, and additional repeatability controls.
If I'm choosing between the shortest expected wait and the highest quality tier, what fits?
Happyhorse 1.1 is the cinematic choice among the options with the shortest expected wait. Wan 2.6 shares that wait profile but moves to the ultra quality tier, making it the stronger fit when visual finish matters more than expected credit use.
If I'm producing a social clip, will audio always be included?
No. Audio availability depends on the selected generation option. Confirm audio support before submitting; if the chosen workflow is silent, plan a separate sound-design, music, or voiceover stage.
If I'm releasing commercial work, what rights should I verify?
Confirm that you have permission to use every visual input, recognizable likeness, logo, character, and protected design, then review the applicable model terms and your intended jurisdiction. The U.S. Copyright Office distinguishes human-authored contributions from AI-generated material, so document your creative decisions and seek legal review for high-risk releases.
If I'm running a controlled test, what should I record between attempts?
Keep the visual inputs, full prompt, selected generation option, duration, aspect ratio, audio choice, and available seed setting consistent. Change one variable at a time and use the workspace History area to compare the resulting motion and visual fidelity.