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Image Upscaling
by
Ömer Karışman
· GitHub ↗
· v0.1.5
1607
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Install in OpenClaw
/install image-upscaling
Description
Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topa...
README (SKILL.md)
Image Upscaling
Upscale and enhance images via inference.sh CLI.
Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login
infsh app run infsh/real-esrgan --input '{"image_url": "https://your-image.jpg"}'
Install note: The install script only detects your OS/architecture, downloads the matching binary from
dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
Available Upscalers
| Model | App ID | Best For |
|---|---|---|
| Topaz Image Upscaler | falai/topaz-image-upscaler |
Professional quality, any image |
Examples
Upscale Any Image
infsh app run falai/topaz-image-upscaler --input '{"image_url": "https://low-res-image.jpg"}'
Workflow: Generate and Upscale
# 1. Generate image with FLUX Klein (fast)
infsh app run falai/flux-2-klein-lora --input '{"prompt": "landscape painting"}' > image.json
# 2. Upscale the result
infsh app run falai/topaz-image-upscaler --input '{"image_url": "\x3Curl-from-step-1>"}'
Use Cases
- AI Art: Upscale generated images for print
- Old Photos: Restore and enhance resolution
- Web Images: Prepare for high-DPI displays
- Print: Increase resolution for large prints
- Thumbnails: Create high-res versions
Related Skills
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@inference-sh
# Image generation (generate then upscale)
npx skills add inference-sh/skills@ai-image-generation
# FLUX models
npx skills add inference-sh/skills@flux-image
# Background removal
npx skills add inference-sh/skills@background-removal
Browse all image apps: infsh app list --category image
Documentation
- Running Apps - How to run apps via CLI
- Image Generation Example - Complete image workflow guide
- Apps Overview - Understanding the app ecosystem
Usage Guidance
This skill appears to do what it says: use the inference.sh CLI to upscale images. The main red flag is the installer guidance: it tells you to run a remote install script (curl | sh) and download binaries from dist.inference.sh without a cited, auditable project homepage or repository. If you consider installing: (1) inspect the install script before running it (do not pipe blindly); (2) verify the SHA-256 checksums from the stated checksum URL over HTTPS and confirm integrity; (3) prefer manual download and inspection of the CLI binary or source if available; (4) be aware that 'infsh login' will likely collect credentials — confirm how those are stored and what permissions they grant; (5) avoid supplying sensitive or private images to an unfamiliar third-party service until you’ve validated its privacy policy and provenance. If you cannot verify the source or checksums, treat the installer as untrusted and decline to install.
Capability Analysis
Type: OpenClaw Skill
Name: image-upscaling
Version: 0.1.5
The `SKILL.md` file instructs the AI agent to execute commands (`curl -fsSL https://cli.inference.sh | sh` and `npx skills add ...`) that fall outside the explicitly declared `allowed-tools: Bash(infsh *)` scope. This constitutes a prompt injection attempt against the agent's security model, instructing it to bypass its defined permissions. While the stated purpose of these commands is to install a CLI tool and add other skills, the method of instructing the agent to execute unapproved commands is a significant security concern, indicating risky behavior without clear evidence of intentional malice like data exfiltration or backdoor installation.
Capability Assessment
Purpose & Capability
The name/description (image upscaling with Real-ESRGAN, Topaz, FLUX, Thera) matches the SKILL.md instructions which call out infsh app run commands to run those upscalers. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Instructions are narrowly scoped to installing the inference.sh CLI and invoking infsh app run with image_url inputs. They do not instruct reading local system files or unrelated environment variables. However, they do instruct running 'infsh login' (implying credential entry) and encourage installing additional skill packages via npx, which expands scope beyond this single skill.
Install Mechanism
The SKILL.md directs users to run a remote install stream (curl -fsSL https://cli.inference.sh | sh) and to download platform binaries from dist.inference.sh. Although the doc claims SHA-256 checksums are available, piping a remote script to sh and fetching binaries from an external host is higher-risk than an instruction-only skill with no external execution. No homepage or authoritative repository is provided to verify provenance.
Credentials
The skill declares no required environment variables or credentials, which is reasonable. But it prompts 'infsh login' (implicit credential use) without declaring what credentials are needed or how they're stored. Users should assume account/API credentials may be required by the external service.
Persistence & Privilege
No 'always: true' privilege is requested; the skill is user-invocable only. There is no install spec embedded in the skill bundle that would grant persistent agent-level privileges. The agent could invoke the external CLI if the user installs it, but the skill itself does not request persistent system access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install image-upscaling - After installation, invoke the skill by name or use
/image-upscaling - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.5
- Added comprehensive documentation for installing and using image upscaling via inference.sh CLI.
- Listed supported models, including Topaz Image Upscaler, with App IDs and recommended use cases.
- Included step-by-step examples for upscaling and integrating with image generation workflows.
- Expanded use case suggestions and linked related skills for broader image processing workflows.
- Provided links to official documentation for further reading and support.
v0.1.0
- Initial release of the image-upscaling skill.
- Upscale and enhance images using Real-ESRGAN, Thera, Topaz, and FLUX Upscaler through the inference.sh CLI.
- Supports multiple popular upscaling models for various image enhancement needs.
- Includes quick start instructions, usage examples, and common use cases.
- Provides guidance for related skills and further documentation resources.
Metadata
Frequently Asked Questions
What is Image Upscaling?
Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topa... It is an AI Agent Skill for Claude Code / OpenClaw, with 1607 downloads so far.
How do I install Image Upscaling?
Run "/install image-upscaling" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Image Upscaling free?
Yes, Image Upscaling is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Image Upscaling support?
Image Upscaling is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Image Upscaling?
It is built and maintained by Ömer Karışman (@okaris); the current version is v0.1.5.
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