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Generate video (Grok Imagine, Wan 2.7, Hailuo 02, Seedance, Kling 2.6, VEO 3.1, Happy Horse)

aetherwave_generate_video

Generates short-form videos from text prompts or text with a starting image. Submits, polls, and returns the final video URL.

Instructions

Generates a short-form video from a text prompt (T2V) or a text prompt + starting image (I2V). Submits, polls, and returns the final video URL. Default model is 'grok-imagine-t2v' (fast, 4-6 cr/s, with built-in KIE -> fal.ai fallback). Use list_video_models for the full lineup with credit cost per second. I2V models (e.g. 'grok-imagine-i2v', 'seedance-pro-i2v') require a public imageUrl. Video generation can take 30s to several minutes; this tool polls with up to an 8-minute budget.

Model selection guide for videos (when the user does not specify a model)

Default: grok-imagine-t2v (4-6 cr/s, fast, has KIE -> fal.ai fallback for redundancy. Best general-purpose).

Pick a different model when the prompt has these signals:

  • "highest quality" / "premium" / broadcast / commercial -> veo3.1-quality or veo3-quality (Google's flagship, fixed 350-560 cr for 8s, 3-5 min)

  • "fast premium" / quick high-quality -> veo3-fast or veo3.1-fast (84 cr fixed for 8s)

  • Cinematic camera moves / dolly / pan -> seedance-pro-t2v (3-10 cr/s) or kling-3.0-pro-t2v (26 cr/s)

  • Realistic human motion / faces -> hailuo-2.3-pro-i2v (I2V, supply imageUrl)

  • Talking head / lip sync -> kling-avatar-pro (23 cr/s) or infinitalk (5-17 cr/s)

  • Anime / stylized / fantasy -> wan-2.7-t2v

  • NSFW / adult -> wan-22-nsfw-i2v (I2V only; auto-tags adult)

  • Animate this exact image -> any I2V variant (grok-imagine-i2v, seedance-pro-i2v, hailuo-2.3-pro-i2v)

  • First + last frame interpolation -> seedance-pro-i2v with both imageUrl + endImageUrl

  • Cheapest test -> hailuo-2.0-standard @ 512p (3 cr/s, ~18 cr for 6s) or grok-imagine-t2v @ 480p (4 cr/s, ~24 cr for 6s)

  • Clip 12-15s -> grok-imagine-t2v (accepts up to 15s)

  • True 4K -> kling-3.0-4k-t2v (94 cr/s, expensive but native 4K)

Audio in generated video: grok-imagine-t2v, seedance-pro-t2v, and the VEO 3.x family include audio at base cost (no surcharge). Kling 2.6 and Kling 3.0 are the outliers — they price audio as a +50-100% surcharge (Kling 2.6 doubles the cost, Kling 3.0 Pro adds ~46%). Default to Grok / Seedance / VEO when sound matters and you don't want to think about audio pricing.

Cost framing: resolution and duration drive cost more than model choice. A 6-second 480p Grok generation costs ~24 cr; the same prompt at 1080p Seedance 2 is ~858 cr (35x more). Pick the lowest acceptable resolution + duration first.

For I2V models: imageUrl is required. For first+last-frame models, pass endImageUrl too.

Ask the user only when:

  • Single generation would cost more than 100 credits and they haven't confirmed

  • They asked for "the best" with no other signal; surface 2-3 options with cost ranges

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText description of the video scene.
modelNoModel ID. Defaults to 'grok-imagine-t2v'. Use list_video_models for the full list.
durationNoDuration in seconds. Grok Imagine accepts 6-15; other models have their own ranges (see list_video_models).
resolutionNoOutput resolution. Default depends on model.
aspectRatioNoAspect ratio (e.g. '16:9', '9:16', '1:1').
imageUrlNoPublic URL of starting image. Required for I2V models.
endImageUrlNoPublic URL of ending image. Supported by some I2V models (first+last frame).
modeNoModeration mode for Grok Imagine. Defaults to 'normal'.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are minimal (readOnlyHint false, etc.), but the description adds critical behavioral context: polling with 8-minute timeout, default model fallback, cost per second, audio inclusion, cost impact of resolution/duration. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but well-structured with clear sections (model selection guide, audio, cost framing). Every sentence adds value; however, length could be slightly trimmed without losing clarity. Front-loaded with core behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (8 parameters, many models, no output schema), the description is remarkably complete. It covers model selection, cost, audio, I2V requirements, and polling behavior, leaving no major gaps for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds significant meaning beyond the schema itself. It explains default model, duration ranges per model, resolution default, requirement of imageUrl for I2V, mode only for Grok Imagine, and maps model selection to parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it generates a short-form video from text or text+image. It distinguishes itself from sibling tools like generate_image and reframe_video by specifying T2V and I2V modes and providing a detailed model selection guide.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides an extensive model selection guide with explicit signals for when to use each model (e.g., 'highest quality' -> veo3.1-quality). It also advises when to ask the user (cost >100 credits, ambiguous 'best'). This is exemplary usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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