Vidu Q2 Image-to-Video
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About this skill
Problem
Static images cannot directly express camera motion, character action, or scene change. Turning an image into a dynamic video usually requires more than calling a model: it also involves dLazy authentication, local media upload, async task polling, and error handling. This skill wraps the Vidu Q2 image-to-video CLI workflow into a more stable flow, so developers or agents can run dlazy viduq2-i2v, submit prompts, image paths, and generation parameters, then receive video results or task states.
How It Works and Limits
- Authentication: Requests require a dLazy API key. The key can be saved through the CLI into the user config directory, or supplied per invocation via the
DLAZY_API_KEYenvironment variable. Keys are scoped to a dLazy organization and can be rotated or revoked from the dashboard. - Inference and storage: The skill is a thin client over dLazy's hosted API. Prompts and parameters are sent to the dLazy API for inference; local
image,video, oraudiopaths are uploaded to dLazy media storage; generated output URLs are typically hosted onfiles.dlazy.com. - Parameter passing: In addition to standard flags, the CLI supports pipe-style references such as
@N,@N.path,@stdin, and@stdin:path, which are useful for chaining upstream outputs in agent workflows. - Async tasks: When using
--no-wait, the response may not include the final output. It may instead return atask.generateIdandstatus, and the task state should be polled withdlazy status --wait. - Error boundaries: Common errors include 401 missing or invalid API key, 501 missing required parameters such as
--prompt, 502 local file read failures, 503 insufficient balance or server errors, and 504 async generation failures, for example when a prompt violates safety policy. - Usage limits: It is not an offline inference tool, and local media files are uploaded to dLazy services. If the response returns
insufficient_balance, credits must be topped up first. If it returnsunauthorized, a valid API key must be configured before resuming the task.
Use Cases
- Turn a product hero image into short video footage by adding camera motion and detail changes with a prompt.
- Pass an upstream-generated image into `dlazy viduq2-i2v` in an agent workflow and forward the video URL downstream.
- Submit image-to-video jobs with `--no-wait`, then poll task status using `dlazy status --wait`.
- Diagnose `unauthorized` or `insufficient_balance` responses and guide users to configure a key or recharge.
Best For
- Visual designers who need to turn design drafts, product images, or posters into short video previews.
- Agent engineers who need to call image-to-video APIs in automation and handle task polling.
- Operations planners producing short-form video assets who need a unified cloud generation service.
- Platform engineers who need to debug dLazy CLI auth, insufficient balance, and local file read errors.
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