ARENA · VIDEO

Image to Video Arena

Compare image-to-video models using one image and motion prompt. Judge consistency, movement and prompt adherence, then vote. This preview uses example placeholders without live generation.

Example Mode

Example mode. Live runs are not connected in this preview. Example mode never calls a model and never bills. Clips shown are labeled placeholders, not model output.

Input

Reference Image

Drop an image here or

PNG, JPEG or WebP · up to 10 MB · stays in your browser
0/1000
Models (2/4 selected · min 2)

Settings are illustrative. Real options depend on each model's schema, which this preview does not load.

Run

Catalog base price
$0.900
Billing
None in example mode

Final cost can vary by duration, resolution or inputs.

Add a reference image. Write a motion prompt.

Live runs are not connected in this preview. Sign in on SandBase for live arenas.

image-to-video · ready
  1. › Waiting for your input. Press Run Example to start.

Results

Blind until you vote

Run an example to see outputs here. Each selected model gets one slot.

Integration Boundary

Image to Video is a planned arena. Production SandBase Lab runs text, text-to-image, text-to-video and text-to-speech arenas; this workspace stops at the boundary below.

  • Not connectedAuthenticated SandBase session in this preview
  • Not connectedImage upload endpoint for reference images
  • Not connectedRun submission and async job polling for image-to-video models
  • Not connectedVote submission endpoint

Image-to-Video Arena

One Starting Image. A Clearer Model Choice.

An image-to-video arena brings multiple model outputs into one comparison. Your reference image anchors the scene; a motion prompt describes what should happen next. Watching the results together makes differences easier to notice than reviewing separate generations from memory.

Use an arena to investigate a specific shot, rather than assume that one model is best for every image. A product close-up, a portrait and a moving landscape each place different demands on a video model.

Same Image, Same Prompt: Plan Your Arena Comparison

These are suggested test inputs, not generated results or performance claims. Keep the image and motion request consistent when comparing models.

Product Motion

Slowly orbit the product. Keep its shape, label and colors unchanged, with soft studio lighting.

Inspect the label, edges and reflections throughout the shot.

Portrait Animation

The subject turns slightly toward the camera and smiles naturally. Keep the camera still.

Inspect facial identity, expressions and movement between frames.

Camera Movement

Slowly push the camera forward through the scene while leaves move gently in the wind.

Inspect depth, background structure and the requested camera direction.

Illustration Animation

Animate the clouds drifting slowly across the sky. Preserve the illustration style and keep the foreground still.

Inspect style preservation and whether motion stays within the requested areas.

Image-to-Video Model Comparison: Check the Conditions

A model comparison needs more than model names. Check the supported settings before treating two outputs as equivalent tests. The controls above are illustrative; use each model’s current documentation for verified capabilities.

ConditionWhat to CheckWhy It Matters
Image controlWhether the model accepts a first frame, an end frame or separate reference images.These inputs give different kinds of control and should not be treated as interchangeable.
Duration and resolutionThe requested clip length and output dimensions, including settings that cannot be matched.Different output settings change the task and may affect the cost.
AudioWhether audio is supported and enabled for the specific request.Compare silent output separately from audiovisual output.
Cost and generation timeThe billing unit, selected configuration and measured time for each actual run.A catalog base price is not a final quote, and a single observed run does not establish a speed ranking.

Compare supported capabilities using model specifications; compare visual performance using actual outputs. Neither one substitutes for the other.

Image-to-Video Arena Comparison Criteria

Watch the complete clip before choosing a result. These practical criteria help explain a preference; they are not an automated benchmark or a combined quality score.

Image Fidelity

Does the video preserve the reference image?

Check the subject’s identity, product geometry, colors, composition and background. Notice details that change as the clip progresses.

Motion Prompt Adherence

Does the requested action actually happen?

Check the action, direction, camera movement and timing against the prompt. Extra movement is not automatically a better result.

Motion Quality

Does the movement look natural?

Look for abrupt acceleration, sliding objects, implausible contact and movement that does not fit the scene.

Temporal Consistency

Does the scene remain coherent between frames?

Watch for flicker, identity changes, disappearing objects and textures or shapes that drift over time.

Visual Quality

Would the clip work at its intended viewing size?

Inspect detail, sharpness, texture and visible artifacts. Judge quality at comparable dimensions rather than by resolution labels alone.

Choose criteria that match the shot: product work may prioritize faithful appearance, portraits may prioritize identity, and camera moves may prioritize spatial coherence. Record configuration differences and repeat important tests before making a broader model choice.

FAQ

Image-to-Video Arena FAQ

What is an image-to-video arena?

It is a task-focused environment for comparing how video models animate an input image. A useful comparison keeps the image and motion request consistent, shows outputs together and makes the test conditions clear.

How is an arena different from an image-to-video leaderboard?

An arena helps you inspect a particular comparison. A leaderboard aggregates results across a defined set of comparisons. One preferred clip does not establish an overall model ranking.

Why do models produce different videos from the same image and prompt?

Models interpret motion and scene details differently, and their controls and supported settings can differ. Generation can also vary between runs, so a single example should not be treated as a universal result.

How should I compare models with different supported settings?

Match the settings that can be matched and disclose the remaining differences. If one model only supports a different duration, resolution or input mode, treat that as a comparison of configurations rather than an identical test.

Is image-to-video the same as reference-to-video?

Not necessarily. An image may define a specific frame, or it may guide the appearance of a scene without fixing that frame. The meaning depends on the model’s input contract; check its documentation before comparing these modes.