# kling-v3-omni-video **Model Slug:** `kwaivgi/kling-v3-omni-video` **Creator:** kwaivgi **Provider:** Replicate **Modalities:** Image · Video · Audio **Category:** Text-to-Video --- ## Overview Kling Video 3.0 Omni is a unified multimodal video generation model that handles text-to-video, image-to-video, reference-based generation, and video editing within a single architecture. Developed by Kuaishou's AI team (kwaivgi), it produces cinematic video clips up to 15 seconds at resolutions up to 1080p with native audio output. This model is purpose-built for creators, filmmakers, and studios who need consistent character appearance, flexible scene control, and professional-grade output without juggling multiple specialized tools. --- ## Key Capabilities - **Text-to-Video Generation** — Generate video clips directly from descriptive text prompts with cinematic quality output - **Image-to-Video Animation** — Animate a static image into motion by providing a `start_image` and optional `end_image` alongside a motion-describing prompt - **Reference-Based Character & Style Consistency** — Upload up to 7 reference images and cite them inline using `<<>>` syntax to maintain consistent character appearance, costume, or scene style across shots - **Video Editing via Text Instructions** — Supply an existing video as `reference_video` with `video_reference_type: base` and describe your edits in natural language; the model rewrites the video accordingly - **Camera & Style Transfer** — Use `video_reference_type: feature` to extract and apply camera movement, color grading, or visual style from a reference video to new generated content - **Multi-Shot Sequence Control** — Use the `multi_prompt` parameter to script and control multiple distinct shots within a single generation pass - **Native Audio Output** — Unlike many video generation models that require separate audio pipelines, Kling 3.0 Omni generates synchronized audio as part of the video output - **High-Resolution Output** — Supports up to 1080p resolution with configurable aspect ratios for professional delivery --- ## Best Use Cases **Choose kling-v3-omni-video on CRAISEE when you need:** - **Consistent character-driven storytelling** — The reference image system makes this model the strongest choice on CRAISEE for projects requiring a recurring character to appear across multiple scenes without drift in appearance - **All-in-one video production** — When your workflow spans generation, editing, and style transfer, this model eliminates the need to chain separate tools together - **Video editing with AI** — If you have existing footage that needs modification, the base video reference mode is a direct, prompt-driven editing solution - **Short-form cinematic content** — Social media ads, product demos, trailers, and music video segments up to 15 seconds are ideal targets for this model's output quality - **Multi-shot narrative sequences** — The `multi_prompt` parameter makes this the preferred model for creators scripting scene-by-scene video rather than single continuous clips - **Projects requiring audio** — When synchronized sound is part of the deliverable and you want to avoid post-production audio sync work **Consider alternative models if** your project requires video longer than 15 seconds, real-time generation speeds, or highly specialized domain outputs such as 3D rendering or photorealistic simulation. --- ## How to Use on CRAISEE 1. **Navigate to the Model Page** — Search for `kling-v3-omni-video` in the CRAISEE model library or browse the Text-to-Video category to locate the model card 2. **Select Your Generation Mode** — Use the `mode` parameter to declare your intent: text-to-video, image-to-video, reference-based generation, or video editing. Selecting the correct mode ensures the model interprets your inputs correctly 3. **Write Your Prompt** — Enter a descriptive text prompt in the prompt field. If using reference images, include inline citations such as `<<>>` and `<<>>` directly within your prompt text to anchor the model's attention to specific references 4. **Upload Input Assets** — Depending on your mode, attach a `start_image`, `end_image`, and/or up to 7 reference images. For video editing or style transfer, upload your `reference_video` and set the appropriate `video_reference_type` 5. **Configure Output Parameters** — Set your desired `aspect_ratio` and any additional parameters such as `multi_prompt` for multi-shot control 6. **Run the Generation** — Submit your request. CRAISEE will queue and process the job via Replicate's infrastructure and return your video with audio upon completion 7. **Review and Iterate** — Preview the output directly on CRAISEE. Refine your prompt, adjust reference image selections, or modify parameters and regenerate as needed --- ## Input Parameters | Parameter | Type | Description | |---|---|---| | `mode` | String | Declares the generation mode (text-to-video, image-to-video, reference-based, editing) | | `prompt` | String | Primary text description of the desired video content; supports `<<>>` inline reference syntax | | `start_image` | Image | The first frame anchor for image-to-video animation | | `end_image` | Image | Optional last frame anchor; the model interpolates motion between start and end | | `reference_images` | Image Array | Up to 7 images used to guide character, object, or style consistency | | `reference_video` | Video | An existing video used either as an editing base (`base`) or as a style/camera reference (`feature`) | | `video_reference_type` | String | Set to `base` for video editing or `feature` for style and camera transfer | | `multi_prompt` | String/Array | Enables multi-shot scripting; define separate prompts for distinct shots within one generation | | `aspect_ratio` | String | Controls output frame dimensions (e.g., 16:9, 9:16, 1:1) for platform-specific delivery | --- ## Tips & Best Practices **1. Be Explicit With Reference Citations in Your Prompt** The model only applies reference images where you explicitly invoke them. A prompt like `<<>> stands at the counter while the background matches the lighting of <<>>` produces far more precise results than a generic description with references attached but uncited. **2. Use `end_image` to Control Motion Arc** When animating images, providing both a `start_image` and an `end_image` gives the model a defined motion trajectory. This is the most reliable technique for controlling where a scene ends up visually, reducing unpredictable camera drift or subject movement. **3. Match Your Prompt Specificity to Your Mode** For video editing (`video_reference_type: base`), write edit instructions rather than scene descriptions — for example, "change the jacket color to red and remove the background crowd" rather than describing the scene from scratch. The model performs best when editing prompts are directive and change-focused. **4. Script Multi-Shot Sequences With Scene Breaks** When using `multi_prompt`, treat each prompt segment as a distinct shot brief. Include camera direction, subject action, and environment in each segment independently. Avoid assuming the model carries context from one shot prompt to the next without re-stating key visual elements. **5. Leverage Style Transfer Before Building From Scratch** If you have a reference video with a visual style or camera movement you want to replicate, use `video_reference_type: feature` as a starting point before attempting to describe that style purely through text. Extracted visual features consistently outperform text-described aesthetics for stylistic fidelity. --- ## Comparison | Feature | kling-v3-omni-video | Typical Single-Mode Video Models | |---|---|---| | Generation Modes | Text, Image, Reference, Editing, Style Transfer | Usually 1–2 modes per model | | Character Consistency | Up to 7 reference images with inline citation | Limited or unavailable | | Video Editing | Native, prompt-driven | Requires separate editing model | | Native Audio | Yes | Rarely included | | Max Duration | 15 seconds | Varies (often 4–8 seconds) | | Multi-Shot Control | Yes, via `multi_prompt` | Not standard | | Max Resolution | 1080p | Often 720p or lower | **Kling Video 3.0 Omni's primary competitive strength is consolidation.** Models that specialize in a single task — such as pure text-to-video or pure image animation — may achieve marginally optimized performance in that narrow task, but they require separate tools for editing, style transfer, and character consistency. Kling 3.0 Omni delivers a professional production pipeline within a single model call, making it the most workflow-efficient video generation model available on CRAISEE for multi-modal creative projects. With over 405,000 runs logged, kling-v3-omni-video is one of the most actively used video generation models on the platform, reflecting strong real-world adoption across creative and commercial use cases. --- *Available on CRAISEE via Replicate. Model slug: `kwaivgi/kling-v3-omni-video`*

kling-v3-omni-video — AI Model Guide