FlatFrame – Stylized Flat Illustration Text-to-Video LoRA for Wan 2.1 14b t2v

FlatFrame is a finely tuned LoRA for Wan 2.1 (14B,t2v), designed to generate visually compelling text-to-video outputs in a flat-colour, vector-style illustration aesthetic. This model is ideal for creators, animators, and designers seeking a stylised, minimalist look inspired by modern digital illustration and motion design.

🔍 Overview

Trained on a compact yet diverse dataset of 30 curated images and 5 short videos, FlatFrame leverages 3,000 steps of Lora fine-tuning to achieve a consistent and clean animation style. The model renders smooth visual narratives with simplified color palettes, sharp edges, and a distinct 2D look—perfect for explainer videos, animated content, or aesthetic generative art.

🛠️ Training Details

Base Model: Wan 2.1 – 14B T2V
Steps: 3,000
Dataset: 30 static illustrations + 5 stylized animation clips
Visual Style: Flat colors, high contrast, minimal shading, illustration-inspired

🌟 Ideal Use Cases

Flat-style animated video generation
Explainer and motion graphic assets
Educational and storytelling visuals
Generative art with minimalistic design language

🧠 Prompting Tips

To achieve optimal results, include terms like:

"flat illustration style",
"vector aesthetic",
"minimalist color scheme",
"2D animation scene" in your prompts.

FlatFrame Wan-14b T2V - v1