google/gemini-omni-flash-i2v

Parameters

Pricing

Unit: $/sec

Related Models

• google/gemini-omni-flash-t2v: [Core Function] Gemini Omni Flash T2V is Google’s fast multimodal Text-to-Video generation model built on the Interactions API. [Strengths] It quickly turns a text prompt into a short 720p video with natively synchronized audio, offering low latency and solid prompt adherence. [Best For] Highly recommended for: rapid text-to-video prototyping, short social and marketing clips, quick concept visualization, and cases where speed and built-in audio matter more than 4K cinematic detail. [Limitations] Do NOT use this model if you need 1080p or 4K resolution or clips longer than 10 seconds; output is fixed at 720p, capped at 10 seconds, with aspect ratio limited to 16:9 or 9:16. [Routing] Choose this model when the user emphasizes ‘fast’, ‘quick’, or short multimodal clips with sound. If the user demands maximum cinematic quality, 4K, or longer videos, choose Veo 3.1 T2V instead.
• google/gemini-omni-flash-r2v: [Core Function] Gemini Omni Flash R2V (Reference-to-Video) generates a short 720p video guided by up to three reference images via the Interactions API. [Strengths] It fuses the styles, subjects, or elements from multiple reference images (referred to in the text prompt) into a single coherent animated clip with synchronized audio. [Best For] Highly recommended for: blending characters or visual styles from several images, reference-guided creative shots, and multi-subject compositions where the prompt directs how the references combine. [Limitations] Do NOT use this model if you only have a single starting frame (use I2V instead), or if you need 1080p or 4K or clips longer than 10 seconds; it accepts 1 to 3 reference images and outputs 720p up to 10 seconds (16:9 or 9:16). [Routing] Choose this when the user supplies multiple reference images to combine into one video. For single first-frame animation use Gemini Omni Flash I2V; to modify an existing video use Gemini Omni Flash Video Edit.
• google/gemini-omni-flash-video-edit: [Core Function] Gemini Omni Flash Video Edit performs conversational, instruction-driven editing of an existing video via the Interactions API. [Strengths] It applies natural-language edits (changing the scene, mood, style, lighting, background, or time of day) to an input video while preserving the source video’s length and aspect ratio, with synchronized audio. [Best For] Highly recommended for: re-styling or re-lighting an existing clip, changing a video’s setting or atmosphere, and quick instruction-based revisions of a short video. [Limitations] Do NOT use this model to generate a video from scratch (use T2V, I2V, or R2V), and do NOT expect to change the output resolution, aspect ratio, or duration: the output preserves the source video’s aspect ratio and length, and the model does not accept aspectRatio or duration parameters. The source video should be 3 to 10 seconds. [Routing] Choose this only when the user provides an existing video to modify. To create a new video from text or images, use Gemini Omni Flash T2V, I2V, or R2V instead.
• google/nano-banana-2: [Core Function] Nano Banana 2 (Gemini 3.1 Flash Image) is an extremely fast text-to-image model. [Strengths] It is optimized for high-speed, high-volume visual generation, creative prompting, and rapid stylistic experimentation. [Best For] Highly recommended for: rapid creative iteration, generating large batches of images quickly, and artistic/stylized graphics. [Limitations] Do NOT use this model if you require strict, high-end photorealism (use the Imagen 4 series instead). [Routing] Route to this model for ‘fast’, ‘creative’, or ‘stylized’ high-volume requests.
• google/nano-banana-pro: [Core Function] Nano Banana Pro (Gemini 3 Pro Image) is a high-capability creative image model. [Strengths] It balances the creative flexibility and speed of the Nano series with higher fidelity output. [Best For] Highly recommended for: high-quality stylized art and complex creative compositions. [Limitations] Do NOT use for absolute photorealism (use Imagen 4). [Routing] Use this model for high-quality, creative, non-photorealistic requests.
• kling/kling-v3-t2i: [Core Function] Kling V3 T2I is the flagship text-to-image generation model. [Strengths] It delivers state-of-the-art aesthetic quality, high-resolution outputs (up to 2K), and exceptional prompt adherence. [Best For] Highly recommended for: professional concept art, photorealistic portraits, and high-fidelity image generation. [Limitations] Do NOT use this model if you need to strictly reference or edit an existing image. [Routing] Use this as the default model for all text-to-image requests on the Kling platform.
• minimax/minimax-image-01-t2i: [Core Function] MiniMax Image-01 T2I is a multimodal text-to-image generation model. [Strengths] It excels at blending high-quality image generation with visual reasoning, allowing for strong prompt adherence and structural understanding. [Best For] Highly recommended for: general image generation, conceptual illustrations, and generating multiple images in a single batch. [Limitations] Do NOT use this model if the user specifically requests video generation. [Routing] Use this as the default text-to-image model for MiniMax API integrations.
• vidu/viduq3-pro-t2v: [Core Function] Vidu Q3 Pro T2V is a premium cinematic text-to-video generation model. [Strengths] It excels at generating top-tier, realistic videos from text with support for advanced multi-shot ‘smart cuts’, complex physics, and simultaneous audio-visual generation. [Best For] Highly recommended for: cinematic storytelling, professional advertising, short films, and high-fidelity concept visualizations. [Limitations] Do NOT use this model if the user is looking for an instant, low-latency preview, as generation takes longer. It does not support automatic BGM addition. [Routing] Use this model by default for high-quality text-to-video requests. If the user specifically asks for ‘fast’ or ‘quick’ generation, switch to the Q3 Turbo T2V model.
• vidu/viduq3-turbo-t2v: [Core Function] Vidu Q3 Turbo T2V is a fast text-to-video generation model. [Strengths] It excels at rapidly generating smooth, dynamic videos from text descriptions with very low latency. [Best For] Highly recommended for: fast prototyping, quick visual brainstorming, generating background b-roll, and scenarios where generation speed is prioritized. [Limitations] Do NOT use this model if you need ultimate cinematic quality, complex audio-visual synchronization, or multi-shot ‘smart cuts’. It does not support automatic BGM addition. [Routing] Choose this ‘Turbo’ model when the user emphasizes ‘quick’, ‘fast’, or needs immediate results. If the user demands the highest cinematic quality or advanced audio-visual features, choose the Q3 Pro T2V model instead.
• vidu/viduq3-r2v: [Core Function] Vidu Q3 R2V is a high-quality reference-to-video generation model. [Strengths] It excels at generating detailed, cinematic videos that precisely follow a text prompt while highly preserving the character identity from provided reference images. [Best For] Highly recommended for: professional character-driven storytelling, high-fidelity avatar generation in new scenes, and cinematic films requiring consistent actors. [Limitations] Do NOT use this model if you just want to add motion to an existing image (use I2V). This model creates new scenes based on the prompt while keeping the character. [Routing] Use this by default when the user wants to generate a video of a specific character (provided via image) doing something new (provided via text prompt).
• minimax/hailuo-2.3-i2v: [Core Function] Hailuo 2.3 I2V is a flagship image-to-video generation model optimized for character animation. [Strengths] It excels at animating human characters from a single image, maintaining consistent facial features, producing natural micro-expressions, and handling stylized artwork seamlessly. [Best For] Highly recommended for: animating character concept art, bringing portraits to life, and creating stylized/anime motion sequences. [Limitations] Do NOT use this model for last-frame conditioning (it does not support FL2V). Do NOT use if you need 1080p resolution for 10 seconds (1080p is capped at 6s). [Routing] Use this model by default for high-quality image-to-video tasks involving people or art. For physical realism or 10s at 1080p, route to Hailuo 02 I2V. For cost-effective/faster generation, route to Hailuo 2.3 Fast I2V.
• minimax/hailuo-2.3-t2v: [Core Function] Hailuo 2.3 T2V is a flagship text-to-video generation model optimized for human performance and stylization. [Strengths] It excels at capturing intricate human motion, nuanced facial micro-expressions, prompt adherence, and applying highly stylized aesthetics (e.g., anime, ink wash, game CG) to video. [Best For] Highly recommended for: character-driven storytelling, close-up emotional shots, stylized artistic videos, and dialogue scenes. [Limitations] Do NOT use this model if you need native 1080p resolution for 10 full seconds (1080p is capped at 6 seconds; generating 10s forces 768p resolution). [Routing] Use this model by default for text-to-video requests involving humans, faces, or specific art styles. If the user requires strict physical realism/world dynamics or native 1080p for 10 seconds, route to Hailuo 02 T2V instead.
• pixverse/video-restyle: [Core Function] PixVerse Restyle re-renders an existing video into a new visual style. [Strengths] Consistent style transfer across all frames. [Best For] Turning footage into anime/3D/painterly looks, stylized remixes. [Limitations] Do NOT use this to change content, motion, or add new scenes; it only re-renders the visual style of an existing video. It requires an input video, and you must provide EITHER restyle_id (a preset style code from the PixVerse restyle list) OR restyle_prompt (free-text style, max 2048 chars), not both. [Routing] Use when the user wants to change the look of an existing video. Use restyle_id for an official preset, restyle_prompt for a custom style.
• alibaba/happyhorse-1.1-t2v: [Core Function] HappyHorse 1.1 T2V is Alibaba’s latest streamlined text-to-video model. [Strengths] It generates 720P/1080P video with native audio support, 3-15 second duration, and an expanded set of aspect ratios including 4:5, 5:4, 9:21, and 21:9. [Best For] Highly recommended for: fast HappyHorse text-to-video generation, social video formats, and high-throughput content creation. [Limitations] It does not expose custom audio controls; use Wan 2.7 T2V when custom audio input is required. [Routing] Prefer this model when the user explicitly requests HappyHorse text-to-video or wants the latest HappyHorse generation quality.
• alibaba/wan2.7-t2v: [Core Function] Wan 2.7 T2V is Alibaba’s flagship text-to-video generation model. [Strengths] It generates high-fidelity video directly from text with support for custom aspect ratios, audio generation, and intricate semantic adherence. [Best For] Highly recommended for: high-quality commercial video generation, professional storytelling, and dynamic cinematic sequences. [Limitations] Do NOT use this model if the user specifically requests the streamlined ‘HappyHorse’ workflow. [Routing] Use this model by default for high-end text-to-video requests on the Alibaba platform.
• bytedance/seedance-2.0-t2v: [Core Function] Seedance 2.0 T2V is ByteDance Dreamina Seedance 2.0 text-to-video. [Strengths] Supports 480p/720p/1080p/4k, 24 fps, 4-15s MP4 output. Text-only input — do not pass images, video, or audio. [Routing] Use for high-fidelity text-to-video when quality or 4k output is requested.
• xai/grok-imagine-video: [Core Function] Grok Imagine Video is xAI’s text-to-video generation model. [Strengths] It excels at generating short, dynamic video clips directly from a text prompt, with controllable duration, aspect ratio, and resolution. [Best For] Highly recommended for: short social clips, animated concepts, and dynamic scene generation from a description. [Limitations] Do NOT use this model when you have a starting image or reference subjects, or when you need resolutions above 720p or clips longer than 15 seconds; it is limited to 480p/720p and 15s. [Routing] Use this model when the user wants a video from text only. If a starting image is provided, route to the Image-to-Video model; for reference-driven character video, use Reference-to-Video.
• xai/grok-imagine-video-1.5-i2v: [Core Function] Grok Imagine Video 1.5 I2V animates a single starting image into a video using the Grok Imagine 1.5 generation backbone. [Strengths] It excels at producing motion from one starting frame with the improved 1.5 model. [Best For] Highly recommended for: animating a photo or illustration when the 1.5 generation backbone is preferred. [Limitations] Do NOT use this model for text-only generation, for resolutions above 1080p, or for clips longer than 15 seconds; it requires a starting image and is limited to 480p/720p/1080p and 15s. [Routing] Use this model when the user provides one starting image and prefers the 1.5 backbone.
• bytedance/seedance-2.0-i2v: [Core Function] Seedance 2.0 I2V is ByteDance’s flagship unified multimodal video generation model. [Strengths] It supports complex mixed references (multiple images, audio clips) and generates up to 15s of multi-shot audio-video output with dual-channel audio. [Best For] Highly recommended for: high-end complex video generation, multi-shot narratives, and mixed-reference cinematic production. [Limitations] Do NOT use this model if you only need a very basic legacy generation without complex references. [Routing] Use this model by default for any complex, multi-reference, or high-fidelity image-to-video tasks.
• alibaba/happyhorse-1.1-i2v: [Core Function] HappyHorse 1.1 I2V is Alibaba’s latest streamlined first-frame image-to-video model. [Strengths] It turns a single image into high-quality 720P/1080P video with native audio support and 3-15 second duration; output aspect ratio follows the first frame image. [Best For] Highly recommended for: rapid image animation, product motion previews, and simple character or scene animation. [Limitations] It does not accept an explicit ratio parameter; use T2V or R2V when you need a fixed generated aspect ratio. [Routing] Prefer this model when the user provides one image and requests HappyHorse image animation.
• alibaba/happyhorse-1.1-r2v: [Core Function] HappyHorse 1.1 R2V is Alibaba’s latest reference-image-to-video model. [Strengths] It uses 1-9 reference images to preserve subject or character appearance while generating new video actions, supports 720P/1080P output, 3-15 second duration, and expanded aspect ratios including 4:5, 5:4, 9:21, and 21:9. [Best For] Highly recommended for: character-consistent storytelling, reference-based product shots, and multi-image subject composition. [Limitations] Do NOT use if the user simply wants to animate a single image exactly as provided; use HappyHorse I2V instead. [Routing] Use when the user provides one or more reference images and asks for a newly generated HappyHorse video.
• alibaba/wan2.7-i2v: [Core Function] Wan 2.7 I2V is Alibaba’s flagship multimodal image-to-video model. [Strengths] It supports multimodal input (text, image, audio, video) for first-frame, start-and-end-frame (FL2V), and video continuation tasks. [Best For] Highly recommended for: complex image animation, cinematic transitions, and video extension workflows. [Limitations] Do NOT use this model if you only need a quick, simple animation where HappyHorse might be faster. [Routing] Use this model by default for complex image-to-video or video continuation tasks.
• alibaba/wan2.7-r2v: [Core Function] Wan 2.7 Reference-to-Video is a highly capable character/entity reference video model. [Strengths] It natively supports entity reference, voice customization, and playbook-based video generation from a single storyboard. [Best For] Highly recommended for: creating consistent video series, brand mascot animation, and storyboard-driven storytelling. [Limitations] Do NOT use this model for simple, single-image direct animation (use I2V instead). [Routing] Use this by default for complex character consistency and storyboard generation tasks on Alibaba.
• alibaba/wan2.7-videoedit: [Core Function] Wan 2.7 Video Editing is an instruction-based video modification model. [Strengths] It supports complex video editing tasks like content replacement using reference images, and replicating actions, effects, and camera movements. [Best For] Highly recommended for: modifying existing video footage, style transfer on videos, and targeted element replacement. [Limitations] Do NOT use this model to generate a brand new video from scratch; it requires an input video. [Routing] Use this model by default whenever a user wants to edit, alter, or restyle an existing video.
• bytedance/seedance-2.0-v2v: [Core Function] Seedance 2.0 V2V is ByteDance’s flagship multimodal video-to-video model. [Strengths] It allows powerful editing and stylization of input videos by supporting mixed references (text, images, video, and audio) and producing multi-shot 15s outputs. [Best For] Highly recommended for: complex video-to-video transformations, restyling existing footage, and creating dynamic multi-shot edits. [Limitations] Do NOT use this model for simple still-image generation (use Seedream instead). [Routing] Use this model by default for any video editing or video-to-video generation tasks.
• xai/grok-imagine-video-edit: [Core Function] Grok Imagine Video Edit applies a prompt-guided transformation to an input video. [Strengths] It excels at restyling and modifying an existing video while keeping its original duration and aspect ratio. [Best For] Highly recommended for: restyling clips, applying visual effects, and prompt-driven video edits. [Limitations] Do NOT use this model to change the duration, aspect ratio, or resolution; the output preserves the input video’s duration and aspect ratio, and those parameters are not configurable. Input video constraints (e.g. format/length) are enforced by the upstream provider. [Routing] Use this model when the user provides a video and wants it edited/restyled. To make a video longer, use Video Extend.
• xai/grok-imagine-video-extend: [Core Function] Grok Imagine Video Extend continues an existing video, generating additional footage beyond its end. [Strengths] It excels at seamlessly extending a clip with new prompt-guided motion. [Best For] Highly recommended for: lengthening short clips, continuing a scene, and adding follow-on action. [Limitations] Do NOT use the duration parameter expecting it to set the total video length; it only controls the length of the appended segment (2-10 seconds). Input video constraints are enforced by the upstream provider. [Routing] Use this model when the user wants to make a video longer. To restyle or modify an existing video, use Video Edit.
• kling/kling-v3-i2v: [Core Function] Kling V3 I2V is the next-generation image-to-video model. [Strengths] It transforms static images into video with support for 4K resolution, 15-second durations, and native audio, providing superior motion and character expressiveness. [Best For] Highly recommended for: animating concept art, bringing portraits to life in 4K, and generating long 15s scenes from a single frame. [Limitations] Do NOT use this model if you need multimodal reference elements (like character consistency across shots) or multi-shot generation; use V3 Omni instead. [Routing] Use this model by default for high-quality single-image-to-video tasks.
• google/veo-3.1-i2v: [Core Function] Veo 3.1 I2V is Google’s cinematic image-to-video generation model. [Strengths] It generates high-fidelity 4K video from a starting image. It supports advanced features like first-and-last frame conditioning and referencing up to three images. [Best For] Highly recommended for: animating concept art, creating cinematic transitions between images, and high-end video production. [Limitations] When using first+last frame or reference-only modes, the duration parameter must strictly be 8. Negative prompts are not supported in reference-only mode. [Routing] Use this model by default for high-quality image-to-video tasks or when multiple reference images are provided.
• vidu/viduq3-pro-i2v: [Core Function] Vidu Q3 Pro I2V is a premium Image-to-Video generation model. [Strengths] It excels at transforming a single starting image into high-fidelity, cinematic video with stable character consistency, complex motion, and synchronized audio-visual capabilities. [Best For] Highly recommended for: bringing concept art to life, professional film production, high-end commercial showcases, and creating immersive environments from still images. [Limitations] Do NOT use this model if you need instant/real-time generation, as rendering takes longer. It does not support 4K resolution. [Routing] Use this model by default for high-quality image-to-video requests. If the user requires faster generation, route to Q3 Pro Fast or Q3 Turbo.
• vidu/viduq3-pro-fl2v: [Core Function] Vidu Q3 Pro FL2V is a premium First-Last frame transition video model. [Strengths] It excels at generating highly detailed, cinematic, and logically consistent video transitions between a starting image and an ending image. [Best For] Highly recommended for: high-end commercial transitions, complex subject morphing, professional time-lapse effects, and cinematic storyboard completion. [Limitations] Do NOT use this model with only a single image; both a start and end frame are strictly required. [Routing] Use this by default when the user provides exactly two images (start and end) and wants a video bridging them. For faster but lower-quality results, use Q3 Turbo FL2V.
• skywork/skyreels-i2v: [Core Function] SkyReels Image-to-Video animates one or more keyframe images into a video guided by a text prompt. [Strengths] Supports a start frame, an end frame, and tagged mid-frames for keyframe control; optional audio, 480p/720p/1080p output, and fast/std modes. [Best For] Bringing a photo to life, first-last-frame transitions, and keyframe-driven storyboards. [Limitations] Do NOT use this for pure text-to-video (use skyreels-t2v) or for editing an existing video (use the Omni / video-to-video models). It requires at least one of first_frame_image, end_frame_image, or mid_frame_images; output is capped at 1080p and 15s, and fast mode supports only sound=false. [Routing] Provide first_frame_image to animate from a start image, add end_frame_image for a transition, or supply mid_frame_images (each tag must appear in the prompt as @tag) for keyframe guidance.
• pixverse/motion-control: [Core Function] PixVerse Motion Control (Mimic) animates a subject image so it follows the motion of a reference video. [Strengths] Transfers human/animal motion from a driving video onto a still subject. [Best For] Making a character mimic a dance or action, motion retargeting onto a photo. [Limitations] Do NOT use this if you only have a video and no subject image (use Restyle or Extend instead), or if you need 1080p output (only 360p/540p/720p are supported). It requires BOTH a subject image (with a clear person or animal) AND a reference video (with a person as the primary focus). [Routing] Use when the user has one subject image and one motion reference video and wants the subject to mimic that motion.
• vidu/motion-sync: [Core Function] Vidu Motion Sync is a video-to-video motion transfer model. [Strengths] It excels at accurately extracting physical motion from a source video (e.g., a dancing person) and applying it to a target character image, preserving the target’s identity. [Best For] Highly recommended for: creating dance videos with custom characters, transferring complex choreography, and replicating specific physical actions onto avatars. [Limitations] Do NOT use this model if you want to change what a character is saying (use Lip Sync). It requires both a reference video for motion and a target image for appearance. [Routing] Use this model specifically when the user wants to copy the body movements or actions from one video onto a different character.