Name: Vidu
Author: Vidu

Vidu

Vidu is a reference-driven video generation family with five specialized variants. It excels at maintaining character consistency across clips using multiple image references and video reference inputs.

The Vidu family is built around reference-guided generation. Q1 generates video from multiple reference images, combining visual cues into a coherent clip. Q3 is the general-purpose model supporting text-to-video and image-to-video across five aspect ratios at 1080p. Q2 offers subject reference with 1-7 input images for strong identity locking. Q2 Image Reference takes multi-image reference sets for broader visual guidance. Q2 Pro Video Reference operates in V2V mode, using an existing video plus reference images to produce a new clip that merges both inputs. This layered approach makes Vidu the strongest choice when character consistency across a series of clips is the top priority.

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Vidu Variants

Variant	Description
Vidu Q1	Reference-to-video from multiple images, combining visual cues.
Vidu Q3	General T2V and I2V across 5 aspect ratios at 1080p.
Vidu Q2 Subject Ref	Subject reference with 1-7 input images for strong identity locking.
Vidu Q2 Image Ref	Multi-image reference sets for broader visual guidance.
Vidu Q2 Pro Video Ref	V2V with reference images, merges existing video with new visual direction.

Capabilities

Text-to-Video

Image-to-Video

Video-to-Video

Reference Images

End Frame

Storyboard

Audio-Driven

Supported Aspect Ratios

16:99:164:33:41:1

Best For

Multi-clip series with consistent character identity
Brand campaigns requiring the same spokesperson across videos
Reference-heavy workflows with multiple visual inputs
Video remixing that blends source footage with new style references
Product showcase series maintaining visual continuity

Strengths

Strongest multi-reference input system with up to 7 subject images
Five specialized variants for different reference-driven workflows
Q3 provides a solid general-purpose baseline at 1080p
V2V Pro variant merges video and image references in a single pass
Five aspect ratio options on the general model

Limitations

Learning curve to choose the right variant for each use case
Q1 requires multiple images, which increases setup time
General quality on Q3 may trail top-tier single-purpose models

Tips & Best Practices

For Q2 Subject Ref, use 3-5 images showing the character from different angles for best identity lock.

Start with Q3 for general clips, then switch to Q1 or Q2 when you need reference consistency.

For V2V Pro, pair a simple source video with strong style references for the cleanest merge.

Keep reference images consistent in lighting and color palette across your image set.

Use Vidu on Martini

Connect Vidu with other AI models on Martini's infinite canvas. No GPU required — start free.

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Vidu

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Vidu Variants

Variant	Description
Vidu Q1	Reference-to-video from multiple images, combining visual cues.
Vidu Q3	General T2V and I2V across 5 aspect ratios at 1080p.
Vidu Q2 Subject Ref	Subject reference with 1-7 input images for strong identity locking.
Vidu Q2 Image Ref	Multi-image reference sets for broader visual guidance.
Vidu Q2 Pro Video Ref	V2V with reference images, merges existing video with new visual direction.

Capabilities

Text-to-Video

Image-to-Video

Video-to-Video

Reference Images

End Frame

Storyboard

Audio-Driven

Supported Aspect Ratios

16:99:164:33:41:1

Best For

Multi-clip series with consistent character identity
Brand campaigns requiring the same spokesperson across videos
Reference-heavy workflows with multiple visual inputs
Video remixing that blends source footage with new style references
Product showcase series maintaining visual continuity

Strengths

Strongest multi-reference input system with up to 7 subject images
Five specialized variants for different reference-driven workflows
Q3 provides a solid general-purpose baseline at 1080p
V2V Pro variant merges video and image references in a single pass
Five aspect ratio options on the general model

Limitations

Learning curve to choose the right variant for each use case
Q1 requires multiple images, which increases setup time
General quality on Q3 may trail top-tier single-purpose models

Tips & Best Practices

For Q2 Subject Ref, use 3-5 images showing the character from different angles for best identity lock.

Start with Q3 for general clips, then switch to Q1 or Q2 when you need reference consistency.

For V2V Pro, pair a simple source video with strong style references for the cleanest merge.

Keep reference images consistent in lighting and color palette across your image set.

Use Vidu on Martini

Connect Vidu with other AI models on Martini's infinite canvas. No GPU required — start free.

Get Started Free

Vidu

Vidu Variants

Capabilities

Supported Aspect Ratios

Best For

Strengths

Limitations

Tips & Best Practices

Use Vidu on Martini

Related Video Models

Sora 2

Seedance 2

Seedance 1

This website uses cookies

Vidu

Vidu Variants

Capabilities

Supported Aspect Ratios

Best For

Strengths

Limitations

Tips & Best Practices

Use Vidu on Martini

Related Video Models

Sora 2

Seedance 2

Seedance 1