Claude Code x Video Generation
Generate video from Claude Code with AnyCap.
Discover the model, inspect its schema, then create the artifact.
Claude Code can plan a video task, prepare prompts and references, and decide what to do with the result. It still needs an execution tool to create the video file. AnyCap gives that workflow one CLI surface for active models including Seedance 2.5, Veo 3.1, and Kling 3.0. The important boundary is explicit: Claude Code orchestrates the work, the selected model renders it, and the live AnyCap schema defines which inputs are valid.
Install path
Step 1
npx -y skills add anycap-ai/anycap -a claude-code -y
Step 2
curl -fsSL https://anycap.ai/install.sh | sh
Step 3
anycap login
Verified workflow
What Claude Code can verify before it spends a generation request
The model name is not the contract. A reliable agent checks the runtime, discovers the current catalog, reads the selected mode schema, and only then submits the paid generation job. That sequence makes the workflow reproducible when models or accepted fields change.
1 / Verify the runtime
anycap statusConfirm authentication and connectivity before Claude Code starts a generation task.
2 / Discover the live catalog
anycap video modelsChoose from model IDs and modes returned by the current AnyCap catalog rather than relying on a remembered model list.
3 / Inspect accepted inputs
anycap video models seedance-2.5 schema --operation generate --mode text-to-videoThe schema is the contract for mode-specific fields. Claude Code should inspect it before composing parameters or references.
4 / Generate an artifact
anycap video generate --model seedance-2.5 --mode text-to-video --prompt "controlled product reveal, slow dolly in, soft studio lighting" -o launch-teaser.mp4A successful task returns a real video artifact that Claude Code can inspect, publish, or pass to the next workflow step.
What this workflow does not guarantee
Claude Code plans and invokes the workflow; the selected video model performs the rendering.
Supported references, duration, resolution, and output fields vary by model and mode. Inspect the live schema before each new workflow shape.
A text-to-video prompt does not guarantee exact typography, identity continuity, or deterministic motion. Use references and iteration when those constraints matter.
Long-running generation can outlive an interactive turn. Preserve the task or output path so the workflow can recover without submitting the same paid job twice.
First command to try
anycap video generate --model seedance-2.5 --mode text-to-video --prompt "slow camera move over a new product launch scene with soft studio lighting" -o launch-teaser.mp4
The point is not only the video call itself. It is that the agent can reach video generation through the same runtime it already uses for image and vision tasks.
When this capability matters
Product walkthroughs and demo clips generated directly from Claude Code workflows.
Launch or social visuals that need motion rather than a single frame.
Concept validation when the agent needs to show a flow, not just describe it.
A consistent expansion path from image generation into video generation without another SDK.
FAQ
Can Claude Code generate video on its own?
Not as a built-in capability layer. AnyCap adds video generation to Claude Code through one install path and one CLI.
Which video model is available today?
The current AnyCap catalog includes Seedance 2.5, Veo 3.1, Kling 3.0, and other video models. Run anycap video models because availability and supported modes can change.
Why route video generation through AnyCap instead of a separate SDK?
Because the same runtime and auth flow can also cover image generation, image understanding, and video analysis without changing the way the agent works.