A

anime-asset-pipeline

VERIFIED

by community

—No community reviews yet
144,126,000installs
Updated Oct 2026

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Description

Pipeline for producing anime/2D character art with an AI image model, focused on identity locking, per-region defect checking, and 8-bit quantization budget. Use when generating or iterating on anime character art, sprite sheets, key visuals, MV frames, or any task where the same character must stay recognisable across many images. Covers anchor-image workflows, failure modes that cost real credits, and when parameter tweaks are provably invisible.

Install anime-asset-pipeline

Run this in your OpenClaw agent to add anime-asset-pipeline from the ClawHub registry.

terminal
$openclaw skills install anime-asset-pipeline

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

✅安全85/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is anime-asset-pipeline safe to install?

anime-asset-pipeline has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does anime-asset-pipeline cost?

anime-asset-pipeline is free to install for OpenClaw via ClawHub.

What are the best alternatives to anime-asset-pipeline?

You can compare anime-asset-pipeline side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install anime-asset-pipeline?

Install anime-asset-pipeline from ClawHub at clawhub.ai/skills/anime-asset-pipeline, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateOct 30, 2026
Actively maintained (2d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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