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Kling O1 Image Generation

Design & Media Updated 2026.08.29

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Please install @user_f95f21b8/dlazy-kling-image-o1 using https://skillhub.cn/install/skillhub.md.

About this skill

Problem

When an agent workflow needs Kling O1 image generation but should not manually compose HTTP requests, upload media, or parse response URLs, this skill collapses the common steps into a single command. It mainly covers text-to-image and image-to-image tasks: it accepts natural-language prompts, or local images as reference or edit inputs, and returns an output URL that can be downloaded, referenced, or passed to later steps.

How it works

The skill calls the hosted dLazy API through dlazy kling-image-o1. The typical flow is: configure DLAZY_API_KEY or the local key file; provide the prompt and generation parameters; if a local image file is specified, the client uploads it to dLazy media storage for the model; the API returns result URLs hosted on oss.dlazy.com. Errors are distinguished by status code: missing credentials, missing required parameters, local file read failure, insufficient balance, server errors, and asynchronous task failure. This convention is useful for branching in scripts or agents and for recording the failure reason.

Boundaries

It depends on a dLazy account, API key, and cloud inference; it is not a local model. Local image uploads and hosted outputs both go through dLazy. Keys can be rotated or revoked, and sensitive content, licensing, and cost are governed by platform terms. If the response returns insufficient_balance or unauthorized, guide the user to add credits or configure the key before retrying, rather than resubmitting the same task blindly.

Use Cases

  • Generate a set of main visual concepts for a product page and download the results for review.
  • Redraw an existing illustration with a new composition requirement and obtain a downloadable image URL.
  • Generate a web banner image in an automated workflow based on a user description.
  • Try different style parameters on the same reference image and compare the generated results.

Best For

  • Visual designers who need to turn copy descriptions into reviewable concept images quickly.
  • Backend engineers who need to call an image generation API inside an agent workflow.
  • Content editors who need concept images for marketing copy and want to compare style versions.
  • Technical leads at small studios who need to debug dLazy auth, parameters, and failure states.