bytedance/seedance-2.0-i2v

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Pricing

Unit: $/sec

Related Models

• bytedance/seedance-1.0-pro-fast-t2v: [Core Function] Seedance 1.0 Pro Fast T2V is an older generation text-to-video model. [Strengths] Known for its rapid generation pipeline and robust performance on standard commercial prompts. Maintained for backward compatibility. [Best For] Existing legacy integrations that require the specific speed/cost tradeoff of this older model. [Limitations] Do NOT use this for new creations. It is a legacy model maintained for backward compatibility. [Routing] Only use if explicitly requested; otherwise use Seedance 1.5 Pro T2V.
• bytedance/seedance-1.0-pro-t2v: [Core Function] Seedance 1.0 Pro T2V is an older generation text-to-video model. [Strengths] Known for its rapid generation pipeline and robust performance on standard commercial prompts. Maintained for backward compatibility. [Best For] Existing legacy integrations and workflows that strictly depend on this specific model version’s quirks. [Limitations] Do NOT use this for new creations. It is a legacy model maintained for backward compatibility. [Routing] Only use if explicitly requested; otherwise use Seedance 1.5 Pro T2V.
• bytedance/seedance-1.5-pro-t2v: [Core Function] Seedance 1.5 Pro T2V is a joint audio-video text-to-video generation model. [Strengths] It accurately follows complex text instructions to generate high-quality video with synchronized audio. [Best For] Highly recommended for: standard text-to-video generation where strict prompt adherence and audio are required. [Limitations] Do NOT use this model if you need the advanced multi-shot or multimodal reference capabilities of the 2.0 architecture. [Routing] Use this model by default for ByteDance text-to-video tasks.
• bytedance/seedance-1.0-pro-fast-i2v: [Core Function] Seedance 1.0 Pro Fast I2V is an older generation image-to-video model. [Strengths] Known for its rapid generation pipeline and robust performance on standard commercial prompts. Maintained for backward compatibility. [Best For] Existing legacy integrations that require the specific speed/cost tradeoff of this older model. [Limitations] Do NOT use this for new creations. It is a legacy model maintained for backward compatibility. [Routing] Only use if explicitly requested; otherwise use Seedance 2.0 I2V.
• bytedance/seedance-1.0-pro-i2v: [Core Function] Seedance 1.0 Pro I2V is an older generation image-to-video model. [Strengths] Known for its rapid generation pipeline and robust performance on standard commercial prompts. Maintained for backward compatibility. [Best For] Existing legacy integrations and workflows that strictly depend on this specific model version’s quirks. [Limitations] Do NOT use this for new creations. It is a legacy model maintained for backward compatibility. [Routing] Only use if explicitly requested; otherwise use Seedance 2.0 I2V.
• bytedance/seedance-1.5-pro-i2v: [Core Function] Seedance 1.5 Pro I2V is a joint audio-video image-to-video model. [Strengths] It accurately follows complex instructions to animate a single image with synchronized audio. [Best For] Recommended for: standard image animation tasks where 2.0’s multi-reference capabilities are not required. [Limitations] Lacks the robust multi-shot and multi-image reference features of 2.0. [Routing] Use this if the user specifically requests the 1.5 architecture, otherwise default to 2.0.
• 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-fast-v2v: [Core Function] Seedance 2.0 Fast V2V is a high-speed video-to-video generation model. [Strengths] It offers rapid video transformation capabilities based on the 2.0 architecture. [Best For] Highly recommended for: quick video restyling and fast iterations. [Limitations] Do NOT use this model when absolute maximum visual quality is required (use standard 2.0). [Routing] Use this when speed is the primary concern for video transformations.
• 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.
• bytedance/seedance-2.0-fast-t2v: [Core Function] Seedance 2.0 Fast T2V is the faster text-to-video variant. [Strengths] Supports 480p/720p, 24 fps, 4-15s MP4 output. [Routing] Use when speed is preferred over maximum resolution.
• bytedance/seedance-2.0-mini-t2v: [Core Function] Seedance 2.0 Mini T2V is the lightweight text-to-video variant. [Strengths] Supports 480p/720p, 24 fps, 4-15s MP4 output. [Routing] Use for cost-efficient text-to-video.
• 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.
• 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.
• bytedance/seedance-2.0-mini-v2v: [Core Function] Seedance 2.0 Mini V2V is the lightweight video-to-video variant. [Strengths] Supports 480p/720p, 24 fps, 4-15s MP4 output, with required reference video and optional text/image/audio references. [Routing] Use for cost-efficient video-to-video transformations.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.