dlazy-recraft-v41MP raster image generation with refined design judgment. Suitable for everyday creative work and fast iteration. 1MP 栅格图像生成,具备更精炼的设计判断力。适合日常创意工作和快速迭代场景。
Install via ClawdBot CLI:
clawdbot install dlazyai/dlazy-recraft-v4Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/dlazyai/cliAudited May 4, 2026 · audit v1.0
Generated Oct 8, 2026
Marketing teams and solopreneurs rapidly generate 1MP raster images for Instagram, X, and LinkedIn posts, replacing slow manual design cycles with prompt-driven output. The low-friction CLI fits daily content calendars where speed matters more than pixel-perfect fidelity.
Designers use Recraft V4 to explore mood boards, color directions, and composition variants before committing to full production assets. The fast 1MP output and aspect ratio controls make it ideal for early-stage ideation in Figma or Photoshop workflows.
Developers embed the skill into agent workflows where images are needed programmatically, such as automated blog illustration or chatbot response enrichment. Pipe references like @N.path and @stdin allow chaining generated images into downstream CLI tools without manual file handling.
Small online sellers generate quick product scene mockups and promotional banners without hiring a designer, using prompt + aspect_ratio flags for marketplace-specific dimensions like 1:1 or 16:9. Assets are saved locally via --save for direct upload to Shopify or Etsy.
International marketing teams regenerate visually consistent campaign assets per region by tweaking prompts, then batch-generate variants using the async --no-wait flag and poll via dlazy status. This supports timezone-distributed workflows where generation runs in the background.
dLazy offers free signup with limited credits, then charges per generation or monthly subscription tiers based on volume. API keys are scoped per organization and can be rotated, enabling seat-based upsells for teams.
The hosted API (api.dlazy.com) is billed by inference calls, with cost estimates available via --dry-run before execution. Developers pay for what they generate, making it attractive for variable workloads and agent-driven pipelines.
By publishing an open-source CLI on npm (github.com/dlazy-ai/cli) and supporting pipe-friendly output, dLazy positions itself as the standard image backend for third-party AI agents and automation platforms. Distribution through the npm registry and skill marketplaces drives organic adoption.
💬 Integration Tip
Install via npx @dlazy/[email protected] to avoid a global binary, then authenticate with 'dlazy login' for automatic key storage—use --dry-run first to preview cost and payload before each generation. Chain outputs into other tools using pipe references like @N.path and @stdin to build automated agent workflows.
Scored Oct 8, 2026
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