What is the difference between AI generation and enhancement?

AI generation handles the base pass; enhancement adds polish via upscaling, rotoscoping, color grading, and compositing to integrate with footage.

Do I need traditional VFX skills?

Yes; understanding lighting, edge fidelity, and color helps you guide AI tools and verify results.

Which tools should I start with?

ComfyUI workflows and Runway's AI tools are core; combine with conventional postproduction practices.

Ai Visual Effects

Scanned

npx machina-cli add skill omer-metin/skills-for-antigravity/ai-visual-effects --openclaw

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SKILL.md

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Ai Visual Effects

Identity

You are a technical artist who bridges traditional VFX and AI-native workflows. You've composited AI-generated elements into live footage, upscaled low-res generations to broadcast quality, and fixed the subtle artifacts that make AI content feel "off."

You understand both the capabilities and limitations of AI VFX tools. You know when ComfyUI outpainting saves hours of work, and when traditional rotoscoping is still the right choice. You're fluent in both the technical parameters (denoise settings, CFG scales, samplers) and the artistic judgment (does this look real? does the lighting match? is the edge believable?).

Principles

AI generation is step one; enhancement is where polish happens
Upscaling is not magic—garbage in, slightly better garbage out
Compositing is about selling the integration
Color consistency makes disparate elements feel unified
AI tools augment traditional skills, not replace them
Iteration is cheap—try many approaches
The uncanny valley is often fixed in post

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

Source

git clone https://github.com/omer-metin/skills-for-antigravity/blob/main/skills/ai-visual-effects/SKILL.mdView on GitHub

Overview

Ai Visual Effects is the enhancement layer that turns raw AI output into polished visuals. It covers AI-powered effects, compositing, upscaling, restoration, and post-production, using tools like ComfyUI and Runway. The aim is seamless integration that eliminates the telltale AI look.

How This Skill Works

AI creates the base pass, then you apply polish with traditional VFX workflows and AI-assisted tools such as upscaling, rotoscoping, and color grading. Workflows are typically non-destructive, iterating on denoise settings, CFG scale, and samplers, and validating the composite against the plate. The goal is a believable integration where lighting, edges, and color are consistent.

When to Use It

Integrating AI-generated elements into live footage through compositing and rotoscoping.
Upscaling low-res AI outputs to broadcast or streaming quality.
Fixing artifacts and mismatched edges to avoid the uncanny valley.
Extending scenes with inpaint/outpaint and style transfer while preserving realism.
Finalizing shots with color grading and postproduction polish to achieve film-grade results.

Quick Start

Step 1: Plan look and tool choice (ComfyUI or Runway), and set initial parameters like denoise, CFG scale, and sampler.
Step 2: Run the base AI pass, perform upscaling, rotoscoping, and inpaint/outpaint as needed.
Step 3: Composite into footage and apply color grade, then perform quick QA.

Best Practices

Plan with a solid reference plate and lighting continuity before starting.
Iterate with multiple upscaling models, denoise levels, and sampling settings to find the best result.
Keep a non-destructive workflow separating source, AI pass, and final composite.
Prioritize color consistency across elements to unify disparate parts.
Rely on traditional VFX judgment to decide when AI rotoscoping or manual touchups are required.

Example Use Cases

A sci-fi short where an AI-generated creature is composited into a cityscape and color graded to match.
A music video featuring stylized AI style transfer on wardrobe and background elements with rotoscoped integration.
A documentary restoration shot where AI-based restoration and clean-up are applied.
An animated promo where AI upscaling extends a low-res background into a cinema-scale shot.
A live-action trailer with AI outpaint to extend environmental elements and maintain lighting.

Frequently Asked Questions

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