AI video model

Use Wan 2.5 inside a complete creative workflow.

Best value — start/end frame specialist. FoxCut places the model alongside camera presets, references, characters, cost estimates, generation history, and editing tools so you can choose it for the shots where its capabilities fit best.

Generate with Wan 2.5Explore real results
Wan 2.5 shown inside the FoxCut multi-shot video workflow

Core controls

What Wan 2.5 AI Video Generator needs to control.

01

Supported duration

Generate clips up to 10 seconds per shot with the current FoxCut catalog configuration.

02

Resolution options

Available output settings: 480p, 720p, 1080p.

03

Workflow compatibility

Supports start and end frame guidance. Character identity controls are not exposed for this model.

Capability profile

What the current Wan 2.5 route exposes in FoxCut.

These are product-catalog capabilities and cost inputs, not a claim that one model produces the best visual result. Provider behavior can change independently of this page.

Maximum request

10 seconds per shot at 480p, 720p, 1080p in the current catalog.

Guidance exposed

Text-to-video is available. Start and end frames are exposed. Reusable character direction is not exposed.

Baseline cost input

6 credits per second before any applicable resolution multiplier. The in-product estimate remains the source of truth before submission.

Evidence basis, checked : Current FoxCut UI catalog. This page is a capability profile, not an independent cross-model quality benchmark.

Fair evaluation plan

Test Wan 2.5 without moving the goalposts.

Use a fixed source, prompt, duration, aspect ratio, and closest equivalent resolution. Record the route and date so a later provider update does not overwrite the historical result.

Start with

Use a clear first-and-last-frame transition where destination accuracy matters more than reusable character controls.

Compare fairly

Run the same endpoint test on another end-frame-capable route and compare the path, not merely the final-frame resemblance.

Current boundary

The current profile does not expose reusable-character control; identity must come from the supplied frame guidance and prompt.

Practical planning

What to decide before using Wan 2.5.

Use a clear first-and-last-frame transition where destination accuracy matters more than reusable character controls. Before rendering, confirm that the route accepts every non-negotiable input and output: text prompting, 480p or 720p or 1080p, up to 10 seconds, start and end frames.

Run the same endpoint test on another end-frame-capable route and compare the path, not merely the final-frame resemblance. Estimate the baseline at 6 credits per second before resolution multipliers, then compare cost per accepted shot rather than cost per submitted render.

  • Supported duration: Generate clips up to 10 seconds per shot with the current FoxCut catalog configuration.
  • Resolution options: Available output settings: 480p, 720p, 1080p.
  • Workflow compatibility: Supports start and end frame guidance. Character identity controls are not exposed for this model.
Start frame selected for a Wan 2.5 endpoint transition test
Make the origin and destination compositions explicit when endpoint accuracy is the main requirement.

Quality control

How to review a ai video model result.

The current profile does not expose reusable-character control; identity must come from the supplied frame guidance and prompt.

A useful review follows the workflow in order: match the shot, then estimate the cost, then generate and compare. Change one variable per comparison so the next render answers a specific question.

  • Match the shot: Choose the model based on motion, realism, duration, reference, audio, and resolution requirements.
  • Estimate the cost: The catalog rate starts at 6 credits per second before resolution multipliers.
  • Generate and compare: Keep the prompt and references fixed when comparing this model with an alternative.
Crane-down transition result for Wan 2.5 evaluation
Inspect the physical route between frames as closely as the destination match.

How it works

A practical ai video model workflow.

  1. Step 1

    Match the shot

    Choose the model based on motion, realism, duration, reference, audio, and resolution requirements.

  2. Step 2

    Estimate the cost

    The catalog rate starts at 6 credits per second before resolution multipliers.

  3. Step 3

    Generate and compare

    Keep the prompt and references fixed when comparing this model with an alternative.

Built for real work

Use cases

  • Best value — start/end frame specialist
  • Text-to-video
  • First and last frame control
  • Directed generation

Continue exploring

Related FoxCut workflows

Questions to resolve

Wan 2.5 AI Video Generator FAQ

What should I prepare before using Wan 2.5 AI Video Generator?

Use a clear first-and-last-frame transition where destination accuracy matters more than reusable character controls. Before rendering, confirm that the route accepts every non-negotiable input and output: text prompting, 480p or 720p or 1080p, up to 10 seconds, start and end frames. Start with choose the model based on motion, realism, duration, reference, audio, and resolution requirements.

How should I evaluate the result?

Run the same endpoint test on another end-frame-capable route and compare the path, not merely the final-frame resemblance. Estimate the baseline at 6 credits per second before resolution multipliers, then compare cost per accepted shot rather than cost per submitted render. Review the output against the intended use, not against a vague idea of visual quality.

What is the most common failure to watch for?

The current profile does not expose reusable-character control; identity must come from the supplied frame guidance and prompt.

Make the shot. Keep the vision.

Move from prompt to directed generation with camera, character, reference, model, and workflow controls in one studio.

Generate with Wan 2.5