Project Overview

In this project, I created a series of stylized AI-generated animated character portraits set in a shared utopian universe called “Pixar Sweater Weather Group of Friends.” The creative intent was to test visual consistency and diversity of design across multiple characters while maintaining a unified, storybook like style demonstrating strong emotional tone and cohesive visual storytelling using AI and editing tools.

Tools & Workflow

1.

2.

3.

4.

ChatGPT – Character Ideation & Prompt Scaffolding

Midjourney – Moodboards & Consistent Character Generation

Figma – Post-Processing, Refinement & Color System Alignment

Adobe - Adjustments in upscaling, skin tone consistency, visual alignment

Inspiration & Visual Research

Grounding the Characters Through Sketching

  • I clarified what the character needed to communicate emotionally

  • I identified visual constraints early (shape language, balance, posture)

  • I established a human led creative intent that AI could execute against

Establishing a Core Color System in Figma

Primary color system that would anchor the visual world before generating any imagery.

Prompting Strategy: From Sketch Reference to Locked Character

I treated my sketches as reference anchors, using them to guide how I described proportions, expression, softness, and overall character energy within prompts.

Does this output align with the character I sketched—or is it drifting into something unintended?

Cross Tool Prompt Exploration & Testing

Each generated output was evaluated against three criteria:

  1. Sketch alignment – Does this match the original proportions and emotional read?

  2. System fit – Does it work within the established color and lighting system?

  3. Scalability – Could this character be convincingly reproduced in future scenes?

Expanding the Character System: Expression & Pose Variation

I shifted focus to system level character expansion exploring how each character could express emotion and movement while remaining visually consistent.

Fixing AI Artifacts

Skin Tone Consistency & Cultural Nuance

Scaling the World : Backgrounds, New Characters & Story Development

Story sequencing where each image was designed to communicate:

  • Emotional state

  • Relationship dynamics

  • A sense of forward movement in the story

Exploring Motion: Experimenting With Animated Prompting

What I Learned From Motion Exploration:

  • Strong static systems are prerequisites for motion

  • Characters that aren’t consistent in still form will not hold up in animation

  • Prompt discipline becomes even more critical when time and movement are introduced

  • Even minimal motion can dramatically increase emotional engagement

Scalable content

Reusable Prompt (Placeholders)

A friendly, stylized 3D illustration of a young girl with light brown skin and voluminous curly orange hair styled into two puff buns. She has soft freckles across her cheeks, warm expressive eyes, a small rounded nose, and a gentle, joyful presence. She is wearing a fuzzy mint-colored knit sweater with pink and yellow embroidered flower appliqués, classic blue jeans, and pink sneakers, along with a small pastel backpack.

The character is [pose/action], expressing [emotion/expression], maintaining the same facial proportions, hair texture, skin tone, and outfit details as the reference character.

The scene takes place in [background/scene context], captured in a [camera framing: full-body / medium / portrait] shot, with soft studio-style lighting, even illumination, subtle shadows, and a clean, child-friendly aesthetic.

Pixar-inspired, high-quality 3D character design, soft materials, cozy fabric textures, smooth skin shading, rounded forms, and polished animation-ready rendering. Maintain consistent character identity, proportions, and visual style across generations.

Parameters

--seed 28473619

--style reference: [UPLOAD THIS IMAGE AS A STYLE REF OR IMAGE PROMPT]

--v 6

--stylize 400

--quality 2

--chaos 0

--ar 2:3

Key Takeaway

By building repeatable prompting systems, I shifted the project from:

Creative exploration → Scalable content infrastructure