About Image to Video Models
Explore 58 production-ready Image to Video AI models on Modellix. Compare capabilities, try models in the playground, and integrate them through one unified API.
All Image to Video Models
xai/grok-imagine-video-1.5-lite-i2v
[Core Function] Grok Imagine Video 1.5 Lite I2V animates a single starting image into a video with native audio. [Strengths] It uses the input image as the first frame, keeps the output aspect ratio aligned with that image, and adds lip-synced speech. [Best For] Highly recommended for: animating a photo or illustration into a short clip when the Lite backbone is enough. [Limitations] Do NOT use this model for text-only generation, reference images, voice references, pinned frames, video editing, or video extension. It requires one starting image. Duration is 1-15 seconds and resolution is 480p, 720p, or 1080p. 1080p is upscaled from 720p, not native 1080p. The output aspect ratio follows the input image. [Routing] Use this model when the user provides one starting image and wants the Lite backbone. For text-only video, use Grok Imagine Video 1.5 Lite. If the user needs reference images, voices, pinned frames, or native 1080p, use the full Grok Imagine Video 1.5 models.
vidu/viduq4-r2v
[Core Function] Vidu Q4 R2V is the preview reference-to-video model that composes a new 3-16 second clip from 1 to 15 reference images while keeping subject appearance consistent. [Strengths] It supports 540p through 4K, aspect ratios including 3:4 and 4:3, synchronized audio, and up to three reference audio clips. [Best For] Highly recommended for: multi-image character consistency, vertical 3:4 portraits, and scenes that combine reference images with spoken audio. [Limitations] Do NOT use this model to animate one image exactly as the first frame; use Vidu Q4 I2V for that. Do NOT omit the prompt. Do NOT send more than 15 images or more than 3 audio files. Subject-library invocation is not supported. [Routing] Use this model when the user supplies reference images and a prompt for a newly composed shot. Use Vidu Q4 I2V for a single start frame.
vidu/viduq4-i2v
[Core Function] Vidu Q4 I2V is the preview flagship image-to-video model that animates one starting frame into a 3-16 second clip with synchronized audio and automatic camera switching. [Strengths] It keeps the supplied image as the opening frame, supports 540p through 4K, and can generate dialogue and sound effects in the same pass. [Best For] Highly recommended for: animating a key still, product or character shots that must begin from a specific image, and short clips that need native sound. [Limitations] Do NOT send more than one image. Do NOT use this model for multi-image subject reference or a chosen output aspect ratio; the frame follows the first image. Do NOT use a duration under 3 seconds or over 16 seconds. Recommended-prompt mode is on by default, so a prompt is optional. [Routing] Use this model when the user provides a single start frame. Use Vidu Q4 R2V when the user provides reference images and wants a newly composed shot with a chosen aspect ratio.
minimax/minimax-h3-max-i2v
[Core Function] MiniMax H3 Max I2V generates video from reference images plus a text prompt. [Strengths] It accepts up to 9 reference images and optional reference audios, with 5-15 second duration, 480P or 768P output, optional aspect ratio defaulting to 16:9, and optional prompt_expansion_mode (disabled, balanced, or quality). [Best For] Highly recommended for: character or style consistency from stills, product look references, multi-image subject guidance, and prompt-driven scenes featuring a referenced subject. [Limitations] Do NOT use this model for first or last frame transitions, when the primary input is a reference video, or if you need 2K or a 4 second clip. prompt, duration, resolution, and reference_images are required. Do NOT send first_frame_image, last_frame_image, or reference_videos on this endpoint. [Routing] Choose MiniMax H3 Max I2V when the user provides reference stills. For start or end frames, use MiniMax H3 Max FL2V. For reference videos, use MiniMax H3 Max V2V. For text only, use MiniMax H3 Max T2V. For 2K or 4 second clips, use MiniMax H3 I2V.
minimax/minimax-h3-max-fl2v
[Core Function] MiniMax H3 Max FL2V generates video guided by a first frame, a last frame, or both. [Strengths] It supports first-only, last-only, and first-plus-last conditioning with 5-15 second duration and 480P or 768P output. Output framing follows the input frame imagery. Optional prompt_expansion_mode is disabled, balanced (default), or quality. [Best For] Highly recommended for: start-frame animation, end-frame targeting, before-and-after transitions, and storyboard frame bridging. [Limitations] Do NOT use this model for pure text-to-video, reference-image subject remix, or reference-video remix, or if you need 2K or a 4 second clip. Provide prompt, duration, resolution, and at least one of first_frame_image or last_frame_image. Do NOT send ratio, reference_images, reference_videos, or reference_audios on this endpoint. [Routing] Choose MiniMax H3 Max FL2V when the user supplies a start and/or end frame. For reference images without frame roles, use MiniMax H3 Max I2V. For reference videos, use MiniMax H3 Max V2V. For text only, use MiniMax H3 Max T2V. For 2K or 4 second clips, use MiniMax H3 FL2V.
bytedance/seedance-2.5-r2v
[Core Function] Seedance 2.5 R2V is ByteDance Dreamina Seedance 2.5 reference-to-video generation from up to 30 reference images. [Strengths] It supports optional reference audio, fixed or adaptive aspect ratio, 480p/720p/1080p, 4-30 second duration, and mp4 or mov output. [Best For] Highly recommended for: multi-image character consistency and image-led storytelling on Seedance 2.5. [Limitations] Do NOT send first_frame_image, last_frame_image, or video_urls. Do NOT use audio_urls alone. Do NOT use this model when the user requires 4k output. [Routing] Prefer this model when the user provides reference images without a driving video. Use Seedance 2.5 I2V for first-frame or first-and-last-frame animation, Seedance 2.5 T2V for text-only requests, and Seedance 2.5 V2V when reference video is required.
google/gemini-omni-1.1-flash-i2v
[Core Function] Gemini Omni 1.1 Flash I2V animates a single image into a short video with synchronized audio. [Strengths] It uses the input image as the opening frame and supports 360p, 720p, 1080p, and 4k output, 16:9 or 9:16, and 3 to 10 second clips. [Best For] Highly recommended for: animating a still, product or character motion from one frame, and social clips that need built-in audio at 1080p or 4k. [Limitations] Do NOT use this model if you have no starting image (use Gemini Omni 1.1 Flash T2V) or want to edit an existing video (use Gemini Omni 1.1 Flash V2V). Clips are capped at 10 seconds. [Routing] Choose this when the user provides one starting frame. For text-only generation, use Gemini Omni 1.1 Flash T2V.
minimax/minimax-h3-i2v
[Core Function] MiniMax H3 I2V generates video from reference images plus a text prompt. [Strengths] It accepts up to 9 reference images and optional reference audios, with 4-15 second duration, 768P or 2K output, and optional aspect ratio defaulting to 16:9. [Best For] Highly recommended for: character or style consistency from stills, product look references, multi-image subject guidance, and prompt-driven scenes featuring a referenced subject. [Limitations] Do NOT use this model for first or last frame transitions or when the primary input is a reference video. prompt, duration, resolution, and reference_images are required. Do NOT send first_frame_image, last_frame_image, or reference_videos on this endpoint. [Routing] Choose MiniMax H3 I2V when the user provides reference stills. For start or end frames, use MiniMax H3 FL2V. For reference videos, use MiniMax H3 V2V. For text only, use MiniMax H3 T2V.
minimax/minimax-h3-fl2v
[Core Function] MiniMax H3 FL2V generates video guided by a first frame, a last frame, or both. [Strengths] It supports first-only, last-only, and first-plus-last conditioning with 4-15 second duration and 768P or 2K output. Output framing follows the input frame imagery. [Best For] Highly recommended for: start-frame animation, end-frame targeting, before-and-after transitions, and storyboard frame bridging. [Limitations] Do NOT use this model for pure text-to-video, reference-image subject remix, or reference-video remix. Provide prompt, duration, resolution, and at least one of first_frame_image or last_frame_image. Do NOT send reference_images, reference_videos, or reference_audios on this endpoint. [Routing] Choose MiniMax H3 FL2V when the user supplies a start and/or end frame. For reference images without frame roles, use MiniMax H3 I2V. For reference videos, use MiniMax H3 V2V. For text only, use MiniMax H3 T2V.
bytedance/seedance-2.5-i2v
[Core Function] Seedance 2.5 I2V is ByteDance Dreamina Seedance 2.5 first-frame and first-and-last-frame image-to-video generation. [Strengths] It supports optional reference audio, 480p/720p/1080p, 4-30 second duration, and mp4 or mov output. [Best For] Highly recommended for: animating a keyframe and first-to-last transitions on Seedance 2.5. [Limitations] Do NOT send reference_images, video_urls, or omni_reference_task_type. Do NOT use audio_urls alone. Do NOT use a fixed ratio; use adaptive or omit ratio. Do NOT use this model when the user requires 4k output. [Routing] Prefer this model for Seedance 2.5 frame animation. Use Seedance 2.5 R2V for reference images, Seedance 2.5 T2V for text-only requests, and Seedance 2.5 V2V when reference video is required.
alibaba/wan3.0-i2v
[Core Function] Wan 3.0 I2V is Alibaba Wan 3.0 image-to-video generation supporting first-frame, first-last-frame, and reference-image modes. [Strengths] It can strictly lock the first and last frames or fuse up to 10 reference images with optional reference audio for multimodal guidance. [Best For] Highly recommended for: animating a single keyframe, cinematic first-to-last transitions, multi-image character or product consistency, and image-led storytelling. [Limitations] Do NOT use this model for text-only generation, document/webpage reference, or when a reference video is required. Do NOT mix first_frame/last_frame with reference_images/audio_urls. [Routing] Prefer this model for Wan 3.0 image-driven video. Use Wan 3.0 T2V for prompt/file/link inputs and Wan 3.0 V2V when video_urls are provided.
kling/kling-v3-turbo-i2v
[Core Function] Kling V3 Turbo I2V is a speed- and cost-optimized image-to-video model that animates a single keyframe into short motion clips. [Strengths] It prioritizes fast turnaround and efficient generation with optional native audio and strong lip-sync for portrait or product first-frame animation at practical resolutions. [Best For] Highly recommended for: animating stills for social ads, rapid keyframe iteration, talking-head starters from one photo, and bulk I2V jobs where latency and cost dominate. [Limitations] Do NOT use this model if the user needs multi-image references, element fusion, or Omni-class subject locking; use Kling V3 Omni I2V. Do NOT use it when maximum 4K cinematic quality is required; use Kling V3 I2V. Do NOT use it for effect templates; use Kling Video Effects. [Routing] Choose Kling V3 Turbo I2V when the user emphasizes speed or cost for single-image animation. Prefer Kling V3 I2V as the default high-quality I2V; prefer Kling V3 Omni I2V when multiple images or consistency-driven references are central.
kling/kling-v3-omni-i2v
[Core Function] Kling V3 Omni I2V is a multimodal image-to-video model that animates from one or more reference images with stronger subject and style consistency. [Strengths] It accepts an images array for reference-led motion, aiming to preserve identity, wardrobe, and product look across the clip while supporting flexible duration and optional native audio. [Best For] Highly recommended for: character-consistent animation from design sheets, multi-reference product shots, comic or IP look locking, and I2V tasks where a single first frame is not enough. [Limitations] Do NOT use this model for simple one-image animation when cost or speed is the priority; use Kling V3 I2V or Kling V3 Turbo I2V. Do NOT use it when the primary input is text only; use Kling V3 Omni T2V or Kling V3 T2V. Do NOT use it for lip-sync avatar from audio alone; use Kling Avatar. [Routing] Choose Kling V3 Omni I2V when the user asks for Omni, multiple references, or strict visual consistency from images. Prefer Kling V3 I2V for standard single-image high quality; prefer Kling V3 Turbo I2V for fast or cheap single-image jobs.
kling/kling-video-o1-i2v
[Core Function] Kling Video O1 I2V is the image-to-video slice of Kling O1 Omni Video. [Strengths] Reasoning-enhanced generation from 1-7 reference images, 720p/1080p, duration 3-10s (single image only 5 or 10). [Best For] Complex physical motion grounded in reference frames. [Limitations] No native audio; no aspect_ratio (follows first frame); duration capped at 10s. [Routing] Prefer this for O1-quality I2V; use Kling Video O1 V2V when a source video is required.
pixverse/c1-r2v
[Core Function] PixVerse c1 reference-to-video (fusion) generates a video from a prompt while preserving subjects from 1-7 reference images; each reference can be tagged as subject/background and named for @-reference in the prompt. [Strengths] Precise multi-subject composition and identity preservation. [Best For] Putting specific characters/objects into a new scene, multi-character interactions. [Limitations] Do NOT use this for single-image animation (use Image-to-Video), two-frame transitions (use First-Last-Frame), or text-only generation (use Text-to-Video). It requires 1-7 reference images and a required aspect_ratio, and supports up to 1080p and a maximum of 15s. [Routing] Use when the user provides one or more reference images to be fused into the video, especially when distinguishing subject vs background or naming references for the prompt. The v6 and c1 reference-to-video variants accept identical parameters; choose the version the user requests.
pixverse/v6-r2v
[Core Function] PixVerse v6 reference-to-video (fusion) generates a video from a prompt while preserving subjects from 1-7 reference images; each reference can be tagged as subject/background and named for @-reference in the prompt. [Strengths] Precise multi-subject composition and identity preservation. [Best For] Putting specific characters/objects into a new scene, multi-character interactions. [Limitations] Do NOT use this for single-image animation (use Image-to-Video), two-frame transitions (use First-Last-Frame), or text-only generation (use Text-to-Video). It requires 1-7 reference images and a required aspect_ratio, and supports up to 1080p and a maximum of 15s. [Routing] Use when the user provides one or more reference images to be fused into the video, especially when distinguishing subject vs background or naming references for the prompt. The v6 and c1 reference-to-video variants accept identical parameters; choose the version the user requests.
pixverse/c1-fl2v
[Core Function] PixVerse c1 first-last-frame generates a video that transitions from a start frame to an end frame, guided by a prompt. [Strengths] Controlled start/end composition with smooth interpolation. [Best For] Morphs, scene transitions, before/after motion. [Limitations] Do NOT use this if you only have a single image (use Image-to-Video) or lack an end frame; it requires exactly two images (a first and a last frame) and supports up to 1080p and a maximum of 15s. [Routing] Use when the user provides a start image AND an end image. For one image use Image-to-Video. The v6 and c1 first-last-frame variants accept identical parameters; choose the version the user requests.
pixverse/v6-fl2v
[Core Function] PixVerse v6 first-last-frame generates a video that transitions from a start frame to an end frame, guided by a prompt. [Strengths] Controlled start/end composition with smooth interpolation. [Best For] Morphs, scene transitions, before/after motion. [Limitations] Do NOT use this if you only have a single image (use Image-to-Video) or lack an end frame; it requires exactly two images (a first and a last frame) and supports up to 1080p and a maximum of 15s. [Routing] Use when the user provides a start image AND an end image. For one image use Image-to-Video. The v6 and c1 first-last-frame variants accept identical parameters; choose the version the user requests.
pixverse/c1-i2v
[Core Function] PixVerse c1 I2V animates a single starting image into a video guided by a text prompt. [Strengths] Smooth, prompt-guided motion from one frame; optional audio. [Best For] Bringing a photo/illustration to life, product showcases, quick cinematic motion from a still. [Limitations] Do NOT use this for two-frame transitions (use First-Last-Frame), multi-subject fusion (use Reference-to-Video), or text-only generation (use Text-to-Video). It requires exactly one starting image, does not support multi-clip, and supports up to 1080p and a maximum of 15s. [Routing] Use when the user provides one starting image. The c1 variant matches v6 inputs but does not support multi-clip generation; choose c1-i2v when the user requests the c1 model and multi-clip is not needed.
pixverse/v6-i2v
[Core Function] PixVerse v6 I2V animates a single starting image into a video guided by a text prompt. [Strengths] Smooth, prompt-guided motion from one frame; optional audio and multi-clip. [Best For] Bringing a photo/illustration to life, product showcases, quick cinematic motion from a still. [Limitations] Do NOT use this for two-frame transitions (use First-Last-Frame), multi-subject fusion (use Reference-to-Video), or text-only generation (use Text-to-Video). It requires exactly one starting image and supports up to 1080p and a maximum of 15s. [Routing] Use when the user provides one starting image. The v6 and c1 variants take the same inputs except v6 also supports multi-clip generation (generate_multi_clip_switch); choose v6-i2v when the user wants multi-clip output or requests the v6 model.
vidu/viduq3-ad
[Core Function] Vidu Q3 AD is a keyframe-driven short-play (short drama) Image-to-Video model that turns a film-style script plus character, scene, and prop reference images into a complete multi-shot short video, automatically planning shots and compositing them in one pass. [Strengths] It excels at multi-shot narrative coherence and keeping referenced characters, scenes, and props consistent across shots, driven directly from keyframe reference images without manual shot-by-shot prompting. [Best For] Highly recommended for: short ad films and brand stories, scripted short dramas, multi-scene narrative clips generated from a script, and character-driven reels built from a small cast of reference assets. [Limitations] Do NOT use this model to simply animate a single image (use a standard image-to-video model such as Vidu Q3 Pro/Turbo I2V instead); it requires script_content in traditional screenplay format (scene + characters + dialogue) plus 1-14 reference assets each with an image_uri, outputs 1080p in 16:9 or 9:16, and does not expose per-shot duration or style controls (duration is auto-planned). Asset type must be one of character/scene/tool. [Routing] Choose Vidu Q3 AD when the user provides a script and reference images and wants an automatically directed multi-shot short drama from keyframes. For animating a single image into one continuous clip, route to viduq3-pro-i2v / viduq3-turbo-i2v; for the standard short-play flow with placement/quality/duration/style controls, route to Vidu Q3 Drama.
bytedance/seedance-2.0-mini-i2v
[Core Function] Seedance 2.0 Mini I2V is the lightweight multimodal image-to-video variant. [Strengths] Supports 480p/720p, 24 fps, 4-15s MP4 output, with optional first/last frame, reference images, and audio references. [Routing] Use for cost-efficient image-to-video.
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/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.
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.
xai/grok-imagine-video-r2v
[Core Function] Grok Imagine Video R2V generates a video from a text prompt while preserving the subjects shown in up to 7 reference images. [Strengths] It excels at keeping character/subject identity consistent across a newly generated scene driven by the prompt. [Best For] Highly recommended for: character-driven video, placing a specific subject into a new scene, and blending features from multiple references. [Limitations] Do NOT use this model to simply animate a single image as-is (use Image-to-Video), or for clips longer than 10 seconds or resolutions above 720p; duration is capped at 10s and resolution at 480p/720p. [Routing] Use this model when the user provides reference images of a subject and wants a new action/scene described by a prompt. To simply animate a single image as-is, use Image-to-Video.
xai/grok-imagine-video-i2v
[Core Function] Grok Imagine Video I2V animates a single starting image into a video. [Strengths] It excels at producing smooth motion from one starting frame, guided by a text prompt for the desired movement. [Best For] Highly recommended for: bringing a photo or illustration to life, dynamic product showcases, and quick cinematic motion from a still. [Limitations] Do NOT use this model for text-only generation, for resolutions above 720p, or for clips longer than 15 seconds; it requires a starting image and is limited to 480p/720p and 15s. [Routing] Use this model when the user provides exactly one starting image. For reference-driven character video, use Reference-to-Video; for text-only video, use Text-to-Video.
vidu/viduq3-drama
[Core Function] Vidu Q3 Drama (Short Play) is a script-to-video model that turns a written script plus character, scene, and prop reference images into a complete multi-shot short drama, automatically planning the shots, transitions, and camera work in a single pass. [Strengths] It excels at multi-shot narrative coherence, automatic storyboarding and cinematography, and keeping the identity of referenced characters, scenes, and props consistent across every shot. [Best For] Highly recommended for: scripted short dramas and web-series episodes, narrative short-form ads and brand stories, rapid storyboard and pre-visualization, and character-driven reels built from a cast of reference assets. [Limitations] Do NOT use this model to simply animate a single image as-is (use a standard image-to-video model such as Vidu Q3 Pro instead); it requires a script and 1-14 reference assets, supports only 8-12 second clips at 1080p in 16:9 or 9:16, and is not intended for pixel-perfect single-product shots or complex multi-object physics. [Routing] Choose Vidu Q3 Drama when the user provides a script or narrative beats plus character/scene/prop references and wants an automatically directed multi-shot short play. If the user only wants to animate a single image or needs one continuous clip without scripted scene changes, route to a standard image-to-video model such as Vidu Q3 Pro.
vidu/viduq3-turbo-r2v
[Core Function] Vidu Q3 Turbo R2V is a fast reference-to-video generation model. [Strengths] It excels at quickly generating dynamic videos based on a text prompt while preserving the identity of the subjects from provided reference images. [Best For] Highly recommended for: rapid character animation, quick conceptual mockups with specific subjects, and fast social media content featuring consistent characters. [Limitations] Do NOT use this model if you need the absolute highest cinematic quality or if you just want to animate an image directly without a text prompt. [Routing] Choose this model for fast generation of a character performing actions based on a text prompt. For better quality, use Q3 R2V or Q3 Mix R2V.
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).
vidu/viduq3-mix-r2v
[Core Function] Vidu Q3 Mix R2V is a mixed-style reference-to-video generation model. [Strengths] It excels at generating highly consistent character videos by synthesizing and blending features from multiple reference images (up to 7) based on a text prompt. [Best For] Highly recommended for: maintaining strict character consistency across different styles, generating videos of a specific subject in entirely new environments, and blending concepts from multiple reference images. [Limitations] Do NOT use this model if you just want to animate a single image as is (use standard I2V). This model focuses on extracting character/style features and generating new content. [Routing] Use this when the user provides reference images of a character/subject and wants a video of them doing a specific new action from a text prompt, prioritizing mixed-style consistency.
vidu/one-click-ad-film
[Core Function] Vidu One-Click AD-Film is an automated marketing video generation model. [Strengths] It excels at transforming 1 to 7 product or scene images into a polished, commercial-style advertisement video (10-60s) automatically. [Best For] Highly recommended for: e-commerce product showcases, social media ads, promotional reels, and quick marketing campaigns. [Limitations] Do NOT use this model for narrative storytelling or cinematic films; it is optimized specifically for commercial pacing and product emphasis. [Routing] Use this specifically when the user wants to generate an 'ad', 'commercial', or 'promotional video' from product photos.
vidu/one-click-general-film
[Core Function] Vidu One-Click General Film is an automated cinematic film generation model. [Strengths] It excels at automatically stringing together 1 to 7 user-provided images into a cohesive, cinematic film (up to 180s) with appropriate transitions and pacing. [Best For] Highly recommended for: instant music videos, cinematic montages, automated travel vlogs, and turning photo albums into compelling short films. [Limitations] Do NOT use this model if the user needs precise, frame-by-frame control over camera movements or specific character actions in each shot. [Routing] Use this when the user wants an automated 'done-for-you' long video from a batch of images without manually prompting every single shot.
vidu/viduq2-pro-multi-frame
[Core Function] Vidu Q2 Pro Multi-Frame is a sequence-based animation model. [Strengths] It excels at creating continuous, high-quality animation by interpolating through a provided sequence of keyframes (up to 9 images). [Best For] Highly recommended for: complex motion control, precise character posing sequences, and animating detailed storyboards where intermediate states must be strictly followed. [Limitations] Do NOT use this model if you only have one or two images (use standard I2V or FL2V instead). It requires a start image and a list of key images. [Routing] Use this exclusively when the user provides a sequence of 3 to 9 specific frames and wants them animated in order.
vidu/viduq2-turbo-multi-frame
Vidu Q2 Turbo multi-frame animation model. Animates through a sequence of up to 9 frames (1 start + up to 8 key images). Both `start_image` and `key_images` are required. Supports `resolution`.
vidu/viduq2-pro-digital-human
[Core Function] Vidu Q2 Pro Digital Human is a premium portrait animation model. [Strengths] It excels at generating highly realistic, expressive digital humans from a single portrait image, featuring precise lip-sync to audio and natural facial micro-expressions. [Best For] Highly recommended for: professional virtual spokespersons, high-end educational videos, news anchoring, and realistic character animation. [Limitations] Do NOT use this model for complex full-body physical interactions or videos longer than 10 seconds. [Routing] Use this by default for 'talking head' or 'digital human' requests prioritizing realism over speed.
vidu/viduq2-turbo-digital-human
[Core Function] Vidu Q2 Turbo Digital Human is a fast portrait animation model. [Strengths] It excels at quickly animating a static portrait image into a speaking or moving digital human, syncing lip movements to provided audio with low latency. [Best For] Highly recommended for: rapid generation of talking head videos, quick virtual presenters, and responsive interactive avatars. [Limitations] Do NOT use this model for complex full-body motion, multi-character interactions, or videos longer than 10 seconds. [Routing] Use this model when the user wants to make a portrait 'talk' quickly. For higher realism and better quality, route to Q2 Pro Digital Human.
vidu/template-story
[Core Function] Vidu Template Story is a narrative video generation model. [Strengths] It excels at placing user-provided character images into predefined, structured narrative templates (like 'love_story' or 'monkey_king') to automatically generate a cohesive short film. [Best For] Highly recommended for: creating instant themed short stories, personalized entertainment videos, and viral social media narrative trends. [Limitations] Do NOT use this model if the user wants completely custom motion or a unique storyline not covered by the available templates. It restricts creativity to the predefined story structure. [Routing] Use this only when the user explicitly requests to put their characters into a specific story template.
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.
vidu/viduq3-turbo-fl2v
[Core Function] Vidu Q3 Turbo FL2V is a fast First-Last frame transition video model. [Strengths] It excels at rapidly generating a smooth video transition bridging a specific starting image and an ending image. [Best For] Highly recommended for: quick visual morphs, before-and-after transitions, time-lapse simulations, and rapid storyboard filling. [Limitations] Do NOT use this model with only a single image; both a start and end frame are strictly required. Do NOT use if you need the highest possible cinematic detail. [Routing] Use this when the user provides exactly two images and wants a fast transition between them. For higher quality transitions, use Q3 Pro FL2V.
vidu/viduq3-turbo-i2v
[Core Function] Vidu Q3 Turbo I2V is a fast Image-to-Video generation model. [Strengths] It excels at quickly animating a starting frame into a video sequence with strong motion dynamics and low latency. [Best For] Highly recommended for: rapid social media content creation, quick animatics, and fast visual iterations from reference images. [Limitations] Do NOT use this model if you require the absolute highest cinematic fidelity or complex audio-visual synchronization. [Routing] Choose this model for general quick image-to-video tasks. For the highest quality, route to Q3 Pro I2V.
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-fast-i2v
[Core Function] Vidu Q3 Pro Fast I2V is a high-speed Image-to-Video generation model. [Strengths] It excels at generating smooth, physically accurate continuous motion from a single starting frame with extremely low latency. [Best For] Highly recommended for: fast prototyping, short dynamic product showcases, quick cinematic transitions, and scenarios where generation speed is prioritized over maximum detail. [Limitations] Do NOT use this model if the user requires 4K resolution, complex multi-character interactions, or highly stylized 2D anime deformations. It only supports 720p/1080p resolutions. [Routing] Choose this 'Fast' model when the user emphasizes 'quick', 'fast', or needs immediate results. If the user demands ultimate cinematic quality, choose the standard Q3 Pro I2V model instead.
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.
google/veo-3.1-lite-i2v
[Core Function] Veo 3.1 Lite I2V is a balanced image-to-video model. [Strengths] It offers a middle ground between speed and quality for animating images. [Best For] Highly recommended for: general image animation and web-ready content. [Limitations] Do NOT use this model if you need 4K resolution. [Routing] Use this model for standard image animation requests.
alibaba/happyhorse-1.0-r2v
[Core Function] HappyHorse 1.0 R2V is a reference-to-video model. [Strengths] It excels at maintaining character consistency using up to 9 reference images while generating new video actions based on a prompt. [Best For] Highly recommended for: character-consistent storytelling and generating multiple scenes with the same subject. [Limitations] Do NOT use if you simply want to animate a single image exactly as it is (use HappyHorse I2V instead). [Routing] Use this when the user provides reference images to dictate character/subject appearance in a newly generated action.
alibaba/happyhorse-1.0-i2v
[Core Function] HappyHorse 1.0 I2V is a streamlined image-to-video model. [Strengths] It generates high-quality 720P/1080P video (3-15s) from an image efficiently, with native audio support. [Best For] Highly recommended for: rapid image animation and robust character motion. [Limitations] Does not support complex video continuation like Wan 2.7 I2V. [Routing] Use when the user requests 'HappyHorse' or a streamlined image animation.
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.
bytedance/seedance-2.0-fast-i2v
[Core Function] Seedance 2.0 Fast I2V is a high-speed multimodal video generation model. [Strengths] Fast generation with the multimodal and multi-shot capabilities of the Seedance 2.0 architecture. [Best For] Highly recommended for: rapid prototyping and quick multi-shot video creation. [Limitations] Do NOT use this model for the absolute highest cinematic fidelity (use the standard 2.0 model instead). [Routing] Choose this model when the user emphasizes 'fast' or 'quick' generation.
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.
minimax/hailuo-02-fl2v
[Core Function] Hailuo 02 FL2V is a First-Last frame transition video model. [Strengths] It excels at generating a logical, physically accurate video transition that bridges a provided starting frame and an ending frame. [Best For] Highly recommended for: visual morphing, before-and-after transitions, and precise narrative storyboard completion. [Limitations] Do NOT use this model if you only have one image (use standard I2V instead). Note that Hailuo 2.3 does not support FL2V, so this is the primary transition model. [Routing] Use this model exclusively when the user provides BOTH a first frame and a last frame for a transition.
minimax/hailuo-02-i2v
[Core Function] Hailuo 02 I2V is an image-to-video model optimized for physical realism and sustained high resolution. [Strengths] It excels at animating broad scenes, maintaining complex physics, and supporting native 1080p generation for up to 10 seconds. [Best For] Highly recommended for: animating product photography, bringing landscape/nature photos to life, and generating physically accurate motion. [Limitations] Do NOT use this model for animating complex human facial micro-expressions or highly stylized anime art, where Hailuo 2.3 is superior. [Routing] Use this model when the user needs to animate a landscape/product, or explicitly requires 10 seconds of 1080p video. Otherwise, default to Hailuo 2.3 I2V.
minimax/hailuo-2.3-fast-i2v
[Core Function] Hailuo 2.3 Fast I2V is a high-speed, cost-effective image-to-video generation model. [Strengths] It excels at generating videos from images much faster and at roughly 50% lower cost than the standard 2.3 model, while still maintaining the 2.3 architecture's strength in human motion. [Best For] Highly recommended for: rapid prototyping, batch social media creation, and cost-sensitive video generation pipelines. [Limitations] Do NOT use this model for text-to-video (it only accepts image inputs). Do NOT use when absolute maximum visual fidelity is the primary requirement. [Routing] Choose this model when the user emphasizes 'fast', 'quick', or 'cost-effective' image-to-video generation. For maximum quality, use the standard Hailuo 2.3 I2V.
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.
google/veo-3.1-fast-i2v
[Core Function] Veo 3.1 Fast I2V is a high-speed image-to-video model. [Strengths] It quickly animates starting images at 1080p, optimized for low latency. [Best For] Highly recommended for: rapid prototyping and quick social media visual iterations. [Limitations] Do NOT use this model for the absolute highest visual fidelity or 4K output. [Routing] Choose this model when the user emphasizes 'fast' or 'quick' animation.
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.
kling/kling-video-effects
[Core Function] Kling Video Effects applies predefined visual effects to images. [Strengths] It automatically transforms 1 or 2 images into engaging short videos using viral/predefined effect templates. [Best For] Highly recommended for: social media trends and quick visual gags. [Limitations] Do NOT use this model for custom narrative generation or prompt-based control. [Routing] Use this when the user explicitly requests an 'effect' or 'trend' template applied to their photos.
kling/kling-avatar
[Core Function] Kling Avatar is a specialized portrait animation model. [Strengths] It precisely animates a portrait image to lip-sync with an audio file or TTS audio ID. [Best For] Highly recommended for: virtual presenters, talking head videos, and digital avatars. [Limitations] Do NOT use this model for full-body action or general image animation. [Routing] Use this model explicitly when the user wants to make a portrait 'speak' with provided audio.
