How to Create Amazing Full Animated Stories Using ChatGPT & Kling 2.1 (Step by Step Tutorial)

The creator introduces the project: a step-by-step workflow to produce a short fully animated story (30–60 seconds) — from script to final edit. They explain using ChatGPT to generate a short story concept (an ordinary office worker named Dave mistaken for a spy), then refining it into five scenes with optional narration. The paragraph walks through prompt strategies (ask for scene breakdowns, request alternatives for a single scene) and emphasizes iterative control: you can make the story simpler or more advanced, request alternate versions, and tailor scene timing. This section also begins the transition into image creation, noting the goal of consistent scenes and characters across shots and that links to tools used are provided in the video description.

This paragraph covers generating consistent character artwork and environmental images. The author describes prompting an image model for a Pixar-style CGI Dave (landscape aspect), creating both close-ups and full-body references, then generating variations until a preferred design is selected. They demonstrate referencing an attached image to produceScriptwriting workflow scene-accurate shots (e.g., Dave at his desk with a phone), editing images directly (selecting and removing elements like the phone), and composing new shots from the reference (hand holding phone, extreme close-ups of eyes). Techniques for consistency — always include a reference image, request specific aspect ratios, and use scene titles produced by ChatGPT — are emphasized. The paragraph also covers making environment/establishing shots, producing a movie poster (replacing elements, matching a style like Mission Impossible), and experimenting with costume/outfit variations for dream sequences. Finally, it discusses the common issue of 4:3 outputs vs 16:9 needs and presents Recraft as a tool to expand/crop images to widescreen while preserving the look, plus the practice of laying out all images to check cohesion and editing outliers as needed.

Here the creator explains converting still character images into animated clips using AI video generators, focusing on Cling AI (preferring the Cling 2.1 model for quality/cost balance). They demonstrate generating natural motion without prompts, then show the benefit of simple action prompts (e.g., “man takes smartphone out of his pocket”) to produce targeted animation. Tips include model selection (2.1 vs master), clip length choices, and using different prompts for action (e.g., comic or gross actions like ‘picks up dog poo’). The paragraph also covers adding dynamic camera moves and transitions (zooming into face, panning an environment) and compares generators (Cling 2.1 favored). It then shifts into audio: using 11 Labs for high-quality text-to-speech and voice cloning/voice-change tools, and Cling’s built-in lip-sync (upload 11 Labs audio or use text-to-speech). Additional facial animation options are introduced: Hedra (good for expressive faces but static backgrounds) and Runway’s Act One (uses your facial performance to drive character animation), with brief examples of how each handles lip sync and facial detail.

This paragraph dives into polishing audio and assembling the final edit. For voices and voice variation the author uses 11 Labs — recording or TTS plus voice-changer options — and demonstrates importing that audio into Cling for lip sync. They detail using Runway Act One to map a human facial performance onto the character (instructions: generate video → Gen 3 alpha → Act One tab → upload facial performance → upload target animation → tweak motion strength), then exporting that audio to further process with 11 Labs voice changer. For music, they use Udio (and mention Suno and Refusion) with prompts for genre-appropriate tracks (spy theme). Sound effects are created with 11 Labs’ SFX tool (write a prompt, choose duration, tweak prompt influence) to produce ambience and other sounds. For editing, they demonstrate a quick assembly in CapCut’s online editor: import clips and audio, adjust track volumes, separate audio from video, split clips, add transitions, and fine-tune timing. The paragraph closes by describing finishing the timeline with voice, music, SFX and transitions to produce a cohesive, paced short animation.

The final paragraph is the wrap: the creator shows the completed short animation and expresses satisfaction with the workflow and results. They summarize the project’s tone and key lines from the finished edit (humorous spy-mistaken lines and short punchlines), reiterate that the method is a powerful and accessible way to turn stories into animated videos, and encourage viewers to experiment. The paragraph ends with a call to action: leave tips or tricks in the comments, like and subscribe for more tutorials, and a sign-off from Jack who promises more content in future videos.