Kling O1 Omni is an advanced AI video generation model developed by Kuaishou Technology, designed specifically for reference-guided video-to-video generation. It enables users to generate new cinematic shots that maintain the visual language, motion dynamics, and camera style of an input reference video, making it particularly suited for extending scenes, creating sequential shots, and preserving continuity across cuts in narrative content. The model is built on a unified architecture that integrates multiple video tasks—text-to-video, image-to-video, and video-to-video—into a single system, allowing flexible input combinations and consistent output behavior.

A key feature of Kling O1 Omni is its ability to preserve cinematic language such as camera movement, framing, lighting, and motion patterns from the reference footage while generating new content. It supports multi-modal inputs, including a reference video plus additional character or object references (via frontal and angle images) and style reference images, all of which can be referenced in prompts using a simple tagging syntax. This reference-driven continuity architecture is optimized for filmmakers, content creators, and production teams who need coherent multi-shot narratives with stable character and object identities across transitions. What sets it apart is its focus on shot-level continuity rather than just style transfer, enabling professional-grade scene extensions with preserved visual grammar.

Architecture: Kling O1 Omni

Parameters: Not publicly disclosed

Resolution: Output resolutions from 720px up to 2160px (HD to 4K), with aspect ratio control

Input/Output formats:

- Input: Video files (MP4, MOV, WebM, M4V, GIF) 3–10 seconds long; image files (JPG, JPEG, PNG, WebP, GIF, AVIF) for character/object/style references

- Output: MP4 video, optionally with preserved audio from the reference clip

Performance metrics:

- Generation cost equivalent to ~$0.168 per second (for 5s or 10s outputs)

- Supports 5-second and 10-second output durations, independent of input duration

- Reference capacity: 1 reference video + up to 4 additional elements/images (characters/objects with frontal + reference angles, plus style references)

• The model is optimized for generating the next shot in a sequence, so prompts should clearly describe the desired continuation relative to the reference video (e.g., “continue the action,” “widen the shot,” “cut to a close-up”).
• For best continuity, use reference videos with clear camera motion, consistent lighting, and stable framing; shaky or rapidly changing footage may reduce coherence.
• Avoid overly complex prompts that conflict with the reference video’s style or motion; the model prioritizes preserving the reference’s cinematic language over literal prompt interpretation.
• When using character/object references, provide both a frontal image and multiple angles to improve identity consistency across camera movements.
• There is a trade-off between creative freedom and continuity: highly stylized or divergent prompts may break the visual coherence that the model is designed to preserve.
• Prompt engineering works best when explicitly referencing the input video (e.g., “based on @Video1”) and specifying whether to keep the style, motion, or camera behavior.

• Start with a clear, stable reference video of 3–10 seconds that captures the desired camera movement, lighting, and composition.
• Use the syntax “based on @Video1, generate the next shot” or “continue the scene from @Video1” to anchor the generation to the reference.
• Combine the reference video with 1–2 character/object references (frontal + angles) to maintain consistent identities in multi-shot sequences.
• For subtle edits or variations, use short prompts like “same camera movement, but change the background to a forest” or “same framing, but the character turns left.”
• To preserve audio continuity, enable the audio preservation option so the soundtrack or ambient sound carries over into the generated clip.
• Experiment with aspect ratio settings (16:9, 9:16, 1:1) to match platform requirements while keeping the reference video’s framing intact.
• For iterative refinement, generate a short 5-second version first to test continuity and motion, then scale to 10 seconds once the style and framing are confirmed.
• Use style reference images (e.g., for color grading or lighting) alongside the video reference to fine-tune the look without disrupting motion patterns.

• Generates new video shots that maintain the camera style, motion dynamics, and visual language of an input reference video.
• Supports seamless scene continuation, making it ideal for extending existing footage into multi-shot sequences.
• Preserves cinematic qualities such as camera movement, framing, lighting, and motion patterns across generated shots.
• Allows multi-modal input: reference video + character/object references (frontal + angles) + style reference images in a single generation.
• Maintains stable character and object identity across shots when using proper reference images.
• Enables text-driven editing of existing footage, such as changing time of day, swapping protagonists, or modifying backgrounds.
• Supports flexible output durations (5s or 10s) and resolutions from HD to 4K, with control over aspect ratio.
• Can preserve original audio from the reference video, maintaining soundtrack and ambient sound continuity.
• Handles complex scene transitions while keeping visual coherence and shot-to-shot consistency.

• Extending short clips into longer sequences for films, commercials, or social media content while preserving camera style and motion.
• Creating multi-shot narratives in short-form video content where consistent framing and movement are critical.
• Maintaining visual continuity across cuts in branded content, product showcases, and marketing videos.
• Generating follow-up shots in animation or live-action style sequences without manual editing or keyframing.
• Replacing or modifying characters, props, or backgrounds in existing footage using text commands and reference images.
• Developing storyboards or pre-visualization sequences where camera movement and shot composition must remain consistent.
• Producing platform-optimized content (e.g., vertical 9:16 for mobile, 16:9 for web) from a single reference video.
• Creating cinematic B-roll or cutaway shots that match the style of a primary reference clip.
• Editing existing footage with natural language commands like “change daylight to twilight” or “remove passersby” while keeping motion and framing intact.

• The model is designed for shot-level continuity, so drastic deviations from the reference video’s style or motion may reduce coherence.
• Very short or low-quality reference videos (e.g., under 3 seconds, heavily compressed) can lead to less stable motion and framing in the output.
• Rapid camera movements or complex motion in the reference may not always translate cleanly into the generated shot, especially with conflicting prompts.
• Identity consistency for characters and objects improves significantly when multiple reference angles are provided, not just a single frontal image.
• Audio preservation works best when the reference video has a clear, continuous soundtrack; discontinuous or noisy audio may not transfer well.
• Users report that the model excels at maintaining cinematic language but can struggle with highly abstract or surreal prompts that contradict the reference.
• In community discussions, many highlight the strong motion and camera style preservation as a standout strength, especially for professional-looking sequences.
• Some users note that prompt specificity is crucial: vague instructions like “make it better” yield inconsistent results, while concrete directions like “zoom out slowly” work much better.
• Resource-wise, generating longer (10s) or higher-resolution outputs requires more processing time and computational resources, which can affect iteration speed.

• Primarily designed for 5–10 second outputs, limiting its use for long-form continuous video generation.
• Works best when the new shot is a logical continuation or variation of the reference; it may not handle completely unrelated scenes or extreme style changes reliably.