Transform, convert, watermark, and optimize existing images with deterministic Pillow operations.
Design & media
图片高清放大 Super Resolution
Upscale low-resolution images and receive enhanced results as hosted image URLs.
What it does
Upscale a low-resolution image to improve clarity and detail, then receive the enhanced image as a hosted URL. Run `dlazy superres` with an image URL or local path; local files are uploaded to the hosted API for processing. The command supports dry-run cost estimates, asynchronous submission, and configurable wait time.
When to use it
- Restoring low-resolution image assets
- Upscaling images for larger output
- Improving clarity in existing images
- Submitting image enhancement as an async job
The skill document
图片高清放大 Super Resolution
English · 中文
Image super-resolution tool: enhances image clarity and details, returning enhanced URL, suitable for low-res asset restoration and upscaling.
Trigger Keywords
- superres
Authentication
All requests require a dLazy API key. The recommended way to authenticate is:
dlazy login
This runs a device-code flow (also works in remote shells) and automatically saves your API key to the local CLI config — no manual copy/paste required.
Alternative: Set the Key Manually
If you already have an API key, you can save it directly:
dlazy auth set YOUR_API_KEY
The CLI saves the key in your user config directory (~/.dlazy/config.json on macOS/Linux, %USERPROFILE%\.dlazy\config.json on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the DLAZY_API_KEY environment variable.
Getting Your API Key Manually
- Sign in or create an account at dlazy.com
- Go to dlazy.com/dashboard/organization/api-key
- Copy the key shown in the API Key section
Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.
About & Provenance
- CLI source code: github.com/dlazyai/cli
- Maintainer: dlazyai
- npm package:
@dlazy/cli(pinned to1.2.3in this skill's install spec) - Homepage: dlazy.com
You can install on demand without persisting a global binary by running:
npx @dlazy/cli@1.2.3
Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/cli@1.2.3). Review the GitHub source before installing.
How It Works
This skill is a thin client over the dLazy hosted API. When you invoke it:
- Prompts and parameters you provide are sent to the dLazy API endpoint (
api.dlazy.com) for inference. - Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (
files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API. - Generated output URLs returned by the API are hosted on
files.dlazy.com.
This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See dlazy.com for the full service terms.
Usage
CRITICAL INSTRUCTION FOR AGENT:
Execute dlazy superres to get the result.
dlazy superres -h
Options:
--image [image] Image (URL) [image: url or local path]
--dry-run Print payload + cost estimate without calling API
--no-wait Return generateId immediately for async tasks
--timeout Max seconds to wait for async completion (default: "1800")
-h, --help display help for command
Any flag also accepts pipe references —
-(auto-pick from upstream stdin),@N(n-th output),@N.path(jsonpath into output),@*(all primary values),@stdin/@stdin:path(whole envelope). Seedlazy --helpfor details.
Output Format
{
"ok": true,
"result": {
"tool": "superres",
"modelId": "superres",
"outputs": [
{
"type": "image",
"id": "o_xxxxxxxx",
"url": "https://files.dlazy.com/result.png",
"mimeType": "image/png"
}
]
}
}
Async tasks (when
--no-waitis passed) returnoutputs: []and atask: { generateId, status }field instead. Usedlazy status --waitto poll.
Examples
dlazy superres --prompt 'prompt content'
Error Handling
| Code | Error Type | Example Message |
|---|---|---|
| 401 | Unauthorized (No API Key) | ok: false, code: "unauthorized", message: "API key is missing or invalid" |
| 501 | Missing required parameter | error: required option '--prompt ' not specified |
| 502 | Local file read error | Error: Image file/Video file not found: C:\path\to\your\file |
| 503 | API request failed (no balance) | ok: false, code: "insufficient_balance" |
| 503 | API request failed (server error) | HTTP status code error (500 server crash) |
| 504 | Asynchronous task execution failed | === Generation Failed === / {Specific error reason returned by backend, for example "Prompt violates safety policy"} |
AGENT CRITICAL INSTRUCTION:
- If the execution result returns
code: "insufficient_balance", you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: https://dlazy.com/dashboard/organization/settings?tab=credits- If the execution result returns
code: "unauthorized"or indicates missing API key, you MUST inform the user to get their API key from https://dlazy.com/dashboard/organization/api-key and save it usingdlazy auth setand resume the task.
Tips
Visit https://dlazy.com for more information.
Questions people ask
- What image inputs can I provide?
- The `--image` option accepts either an image URL or a local file path. Local files are uploaded to the service’s media storage so they can be processed.
- What does the command return?
- A completed request returns JSON containing an image output with its ID, hosted URL, and MIME type. With `--no-wait`, it instead returns a generation ID and task status for later polling.
- Does it require authentication?
- Yes. Every request requires an organization-scoped API key, which can be saved through `dlazy login` or `dlazy auth set`, or supplied with the `DLAZY_API_KEY` environment variable.
Related skills
Turns creative briefs into confirmed, panel-by-panel storyboard plans and generated images.
Remove an image background and return the foreground as a hosted transparent PNG.
Generate, edit, upscale, segment, replicate, or vectorize images with prompt-based model selection.
Generate Seedream 4.5 images from prompts or up to 10 reference images at 2K or 4K resolution.
Generate or edit images from prompts and up to 14 references, with selectable aspect ratios and sizes up to 4K.