LogoDovoo AI
Kling 3.0 Omni
Kling 3.0 Omni
Native 2K/4K ultra-HD output and image sequences

Use Kling 3.0 Omni to merge multiple images into one

Upload multiple images and use Kling 3.0 Omni to create a clear and natural composite image. Combine characters, products, branded elements, scenes, and visual references into one polished result.

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ToolCombine Images
ModelKling 3.0 Omni
Edit TypeMulti-Image Composite
Input2 or More Images
OutputOne New Image
Use casesBag + model holding

Kling 3.0 Omni
Multi-reference control for consistent image creation

Upload multiple reference images to guide subject identity, key features, style direction, and scene composition. Kling 3.0 Omni is designed for creators who need more stable, repeatable results—not just one-off random generations.

Reference-driven image generation for controllable visual consistency

Start with reference images
Step 1: Upload reference images
Step 2: Describe the change
Step 3: Generate the result
Step 1: Step 1: Upload reference images - Add multiple reference images so Kling 3.0 Omni can understand the subject from more than one visual signal. This helps preserve identity, outline, clothing, product details, and other key features more reliably.
Step 2: Step 2: Describe the change - Write a simple instruction to explain what should change, such as the background, style, outfit, material, or composition. The model uses the references to keep important features stable while applying the requested change.
Step 3: Step 3: Generate the result - Generate a new image based on both your references and your prompt. The result is not a collage, but a newly generated image guided by the reference set.

Success in one minute

3 practical actions to get more stable results

Series consistency

  1. 1Use multiple references Upload several images of the same subject, product, or character. More angles and clearer details usually improve consistency.
  2. 2State what must stay Tell the model what should remain stable, such as identity, hairstyle, outfit, product shape, logo, or color.
  3. 3Change one thing at a time For more controllable results, modify one dimension at a time—background, props, style, camera angle, or material.

Precise editing

  1. 1Start from the original image or reference set Use the image you want to modify together with additional references if needed.
  2. 2Describe what to change and what to keep Be explicit about the target edit and the protected features.
  3. 3Refine only the changed part If needed, iterate again to improve the edited area while keeping the rest of the image consistent.

Why is this more stable?

Kling 3.0 Omni is stronger when image references define the subject clearly. Instead of relying only on text, it uses reference signals to better understand what to preserve and what to transform, which makes the output more controllable across repeated generations.

What makes it special?

See the difference at a glance

Typical text-to-image

Each generation reinterprets the subject from scratch.

  • Harder to keep the same character or product stable
  • More variation between outputs
  • Less reliable for series work or repeated reuse

Kling 3.0 Omni

Uses multiple reference images to anchor important visual features.

  • Better for character, product, and subject consistency
  • Stronger control over what changes and what stays
  • More suitable for reusable series visuals and multi-scene creation

Main text Kling 3.0 Omni is built for controllability and consistency. Its strength is reference-guided generation and editing—especially when you need to preserve subject identity, product details, or scene logic across multiple outputs.

Core capabilities

4 capabilities that matter in multi-reference workflows

Multiple reference images for stronger consistency

Use multiple images to guide the model with richer visual information, helping it preserve key features such as face, outfit, silhouette, product structure, and overall appearance.

Reference-driven composition and scene blending

Combine subject references with scene or style references to generate a new image that places the subject into a more controlled context.

Precise image editing with protected features

Change selected elements such as background, outfit, material, props, or style, while keeping important parts of the original subject more stable.

Multi-view subject understanding

Use front, side, or additional angle references to improve consistency across different viewpoints, which is especially useful for character assets, fashion looks, and product presentation.

Template library

Start from common multi-reference use cases

Product scene generation

Use product references together with scene references to place a product into a new environment while preserving key visual details.

Use template

Same-character series images

Use multiple references of one character to create a consistent series across different scenes, styles, or compositions.

Use template

Multi-view character assets

Upload front and additional angle references to generate more consistent character images from different viewpoints.

Use template

Local outfit or material change

Keep the main subject stable while changing clothing, surface material, or selected visual elements.

Use template

Subject + scene composition

Use one image to define the subject and another to define the environment, then generate a coherent result that blends both directions more naturally.

Use template

Same subject, different styles

Keep one subject consistent while testing different visual styles, tones, or creative directions.

Use template

Case study

Reference stack → Constraints → Changes → Result

Reference stack

Up to 10

Constraints

  • Shape unchanged
  • Color unchanged
  • LOGO position unchanged

Changes

  • Scene: Forest camp
  • Style: Natural lighting

Output

Create once, reuse many times

Build reusable reference workflows instead of starting from zero every time

Reference sets

Save combinations of subject, product, or style references so they can be reused across future generations.

Prompt structures

Reuse prompt patterns for “what to keep” and “what to change” to speed up consistent creation.

Generation history

Compare iterations and continue refining the same subject direction instead of restarting with a completely new output each time.

Prompt writing

1

Keep sentence

Keep the subject’s identity, shape, color, outfit, product structure, logo, or other key features unchanged.

2

Change sentence

Change the background, props, style, material, outfit, or camera perspective to the new target.

3

Protection sentence

Keep other areas natural and coherent, with lighting, perspective, and overall visual logic matching the original subject.

Example prompts

"“Keep the character’s facial features, black hair, and white shirt unchanged, and change the background to a modern café.”"

"“Keep the product shape, packaging colors, and logo unchanged, and place it in a clean bathroom scene.”"

"“Keep the subject identity and outfit details unchanged, and change the style to a cinematic fashion editorial look.”"

"“Keep the shoe design and material structure unchanged, and generate a studio product shot with dramatic lighting.”"

FAQ

Kling 3.0 Omni is good at using multiple reference images to improve consistency and control. It is especially useful when you want to preserve a subject’s identity, product details, or visual structure while changing the scene, style, or composition.

Use one reference set, compare across models, and build more consistent image workflows on Dovoo AI.

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