Image & Video

Solo creator builds full AI animation pipeline, makes 2.5-min show in 5 days

One developer used Qwen, Flux, LTXV, and ElevenLabs to create a corporate satire...

Deep Dive

A solo developer known as u/applied_intelligence on Reddit has demonstrated a groundbreaking AI animation pipeline by producing a 2.5-minute animated show episode in just five days — a process that traditionally takes teams weeks or months. The project, titled Everything's SLOP, is a corporate satire about AI, work, and the people pretending everything is fine.

The pipeline is entirely AI-driven from start to finish. The developer trained a Style LoRA on approximately 20 Ligne Claire reference images using AI Toolkit, keeping the LoRA strength below 1.0 during inference for style consistency without replicating the source. Faces were generated with Qwen Image Edit 2511 using celebrity references plus nationality/trait tags to avoid lookalikes, while full body and outfits were refined in Flux.2 Klein 9B. Backgrounds used the same Ligne Claire LoRA with real office references as input. Voices were created with ElevenLabs Voice Design using custom prompts per character (no presets), and the final animation was generated with LTXV 2.3 — guided by dialogue and performance rather than a traditional storyboard. The first episode features three of the eight planned characters.

Key Points
  • Pipeline uses Qwen Image Edit 2511 for faces, Flux.2 Klein 9B for bodies, and LTXV 2.3 for final video generation.
  • Style LoRA trained on ~20 Ligne Claire images; voices created via ElevenLabs Voice Design with custom prompts per character.
  • Entire 2.5-minute episode produced solo in 5 days — a fraction of traditional animation timelines.

Why It Matters

Proves AI can drive an entire animation pipeline from concept to final cut, drastically reducing production time for indie creators.