ai-visual-effects_skill

This skill helps you elevate AI-generated footage with professional VFX, upscaling, compositing, and color grading using AI-native and traditional workflows.
  • Python

21

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill omer-metin/skills-for-antigravity --skill ai-visual-effects

  • SKILL.md2.9 KB

Overview

This skill is the enhancement layer for AI-generated visual content, turning raw outputs into broadcast-ready VFX. It focuses on compositing, intelligent upscaling, restoration, and finishing touches that hide AI artifacts and sell realism. The approach blends traditional VFX craft with AI-native tools like ComfyUI and Runway.

How this skill works

The skill inspects AI renders for common failure modes (edges, lighting mismatch, temporal instability) and applies targeted fixes: rotoscoping/background removal, smart inpaint/outpaint, and artifact-aware upscaling. It uses compositing, color grading, and detail restoration to integrate AI elements into live footage. All procedures follow the pattern, failure-mode, and validation guidance in the referenced pattern, sharp_edges, and validations files.

When to use it

  • Integrating AI-generated characters or assets into live-action plates
  • Upscaling low-resolution AI renders to broadcast or client delivery sizes
  • Removing AI artifacts like sharp or floating edges and inconsistent lighting
  • Preparing final shots where realism and continuity are required
  • Batch processing sequences while maintaining temporal coherence

Best practices

  • Start from the reference patterns file for workflow templates before building pipelines
  • Run sharp-edges diagnostics early; fix edge and seam issues prior to upscaling
  • Validate outputs against the validations checklist to ensure delivery specs
  • Prefer targeted AI fixes (inpaint, style transfer) over full re-generation when possible
  • Iterate quickly: test multiple denoise and sampler settings to find the best trade-off

Example use cases

  • Compositing an AI-generated creature into a live-action scene with matched lighting and shadows
  • Upscaling an entire sequence from 512px to 4K while preserving temporal stability
  • Restoring a damaged frame set by removing AI hallucinations and reconstructing background details
  • Using ComfyUI outpainting to extend a scene, then color-matching and integrating seams
  • Replacing a green-screen element generated by an AI model and rotoscoping for final polish

FAQ

Use AI rotoscoping for bulk work and clean edges; switch to manual rotoscoping when fine hair detail, complex motion blur, or high-stakes frames demand pixel accuracy. Consult the sharp_edges guidance for edge-failure indicators.

Will upscaling hide all AI artifacts?

No. Upscaling improves perceived detail but can emphasize underlying artifacts. Run artifact diagnostics first, correct failures, then upscale and validate against the validations checklist.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational