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Install in OpenClaw
/install xeon-smartupscale-v2
Description
Experiment-faithful 1080p upscaler for Intel Xeon CPUs. Decodes frames, resizes them in memory to 480x270 with lanczos, then runs Real-ESRGAN general-x4v3 x4...
README (SKILL.md)
Goal
Reproduce the exact 1080p experiment pipeline:
- Decode source frames
- In-memory
lanczos->480x270 - Real-ESRGAN general-x4v3 x4 ->
1920x1080 - Encode with H.264
medium,crf 15
Usage
bash \x3Cskill_dir>/install.sh
bash \x3Cskill_dir>/smartupscale.sh \x3Cinput.mp4>
Optional custom output path:
bash \x3Cskill_dir>/smartupscale.sh \x3Cinput.mp4> -o \x3Coutput.mp4>
Packaging Notes
model/realesr-general-x4v3_480x270.xmland.binare vendored for the fixed 1080p path.- No dynamic export path is included. This package stays on the fixed experiment model.
- For ClawHub publishing, the raw
.binweights can be omitted from the package and restored frommodel/realesr-general-x4v3_480x270.bin.b64or chunkedmodel/realesr-general-x4v3_480x270.bin.b64.part-*files duringinstall.sh.
Output
- Final video:
1920x1080, H.264medium,crf 15 - Audio: copied from source when possible
- Lanczos pre-scale is done in memory before inference; no encoded intermediate stage is produced.
Usage Guidance
Install only if you are comfortable with the installer fetching and executing external code during setup. Prefer using a system-provided pip and ffmpeg/ffprobe already installed on the machine, or ask the publisher for pinned versions with checksum or signature verification before installing.
Capability Assessment
Purpose & Capability
The artifacts coherently implement a local 1080p video upscaling workflow using ffmpeg, OpenVINO, OpenCV, and bundled model weights; I found no unrelated credential access, broad file indexing, data upload, or persistence behavior.
Instruction Scope
Runtime instructions are narrow: install, then run smartupscale.sh on a user-supplied input video and optional output path. The docs disclose curl as a requirement, but do not clearly disclose that install.sh may execute get-pip.py from the network or download a static ffmpeg archive.
Install Mechanism
install.sh creates a venv and installs Python packages, but if pip is missing it executes curl -sSL https://bootstrap.pypa.io/get-pip.py | python; if ffmpeg is missing it downloads and extracts a prebuilt archive without checksum or signature verification. That is high-impact supply-chain execution under the user's privileges.
Credentials
The dependency footprint is plausible for video upscaling, but it is Linux x86_64-specific, downloads large/native tooling, and relies on external package sources during installation.
Persistence & Privilege
The skill persists local setup files under its own directory, including .venv, bin/ffmpeg, bin/ffprobe, and decoded model weights. I found no autorun hooks, background workers, cron/systemd entries, privilege escalation, or credential/session store access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xeon-smartupscale-v2 - After installation, invoke the skill by name or use
/xeon-smartupscale-v2 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.7
Ship model weights as model/realesr-general-x4v3_480x270.weights.dat (base64) since ClawHub only accepts whitelisted text extensions
v0.1.6
Sidecar split to 300KB .weights.NNN.b64 chunks
v0.1.5
Chunk model sidecar into 350KB .weights.part-NN files to fit ClawHub size limit
v0.1.4
Rename model sidecar to .weights.b64 so ClawHub does not strip it
v0.1.3
Ship OpenVINO IR weights via base64 sidecar so ClawHub install delivers .bin
v0.1.2
Chunk model weights into .bin.b64.part files so ClawHub installs can reconstruct the Real-ESRGAN IR data
v0.1.1
Restore model weights from .bin.b64 so ClawHub installs include the Real-ESRGAN IR data
v0.1.0
Initial v2 release: exact 480x270 to 1920x1080 Real-ESRGAN experiment pipeline
Metadata
Frequently Asked Questions
What is xeon-smartupscale_v2?
Experiment-faithful 1080p upscaler for Intel Xeon CPUs. Decodes frames, resizes them in memory to 480x270 with lanczos, then runs Real-ESRGAN general-x4v3 x4... It is an AI Agent Skill for Claude Code / OpenClaw, with 59 downloads so far.
How do I install xeon-smartupscale_v2?
Run "/install xeon-smartupscale-v2" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is xeon-smartupscale_v2 free?
Yes, xeon-smartupscale_v2 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does xeon-smartupscale_v2 support?
xeon-smartupscale_v2 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created xeon-smartupscale_v2?
It is built and maintained by Wray151 (@wray151); the current version is v0.1.7.
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