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Why Most AI Films Fall Apart - And How to Fix It
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Why Most AI Films Fall Apart - And How to Fix It

How to Start an AI Film Project

Introduction to AI Filmmaking

  • The speaker introduces the topic of starting an AI film project, addressing a common question among viewers.
  • Khalil shares his personal workflow and decisions made during the early stages of AI film projects, emphasizing that this is not a strict system but rather a guide based on his experiences.

Background and Experience

  • Khalil discusses his extensive experience in the AI filmmaking space, including client work, ad campaigns, music videos, and longer cinematic projects.
  • He mentions sharing experimentation results on TikTok but prefers YouTube for detailed explanations of his thought processes and workflows.

Project Overview

  • Khalil reveals he is working on multiple projects simultaneously, including client work and personal projects that allow him to showcase his process without polishing it into demos.
  • The main focus will be on "Life of the Lazy Mon," one of his personal projects, where he aims to provide insights into setting up an AI film project.

Identifying Common Issues

  • Khalil reflects on patterns observed in past projects where issues arose due to decisions not made at the beginning stages.
  • He notes that while individual images may look great, they can lead to inconsistencies when trying to create a cohesive film.

Shifting Perspectives on AI Tools

  • A significant shift in Khalil's approach was viewing AI as elements of a film crew rather than just tools for generating content.
  • By considering traditional production methods, he emphasizes the importance of intentionality at the start of each project.

Initial Steps in Project Development

  • When starting any project now, Khalil first checks if there’s an existing script or story; if not fully developed, he avoids jumping into image generation immediately.
  • For brainstorming ideas and shaping them into stories or scripts, he often uses ChatGPT before moving onto more structured analysis with Gemini.

Creating an External Brain for Project Management

Centralizing Information

  • The speaker emphasizes the importance of centralizing project materials, describing it as a significant breakthrough in their workflow.
  • They create an "external brain" by using ChatGPT and Google Drive to store scripts and related files, ensuring easy access and organization.
  • Both tools are utilized for their unique strengths; ChatGPT is preferred for concept generation while Gemini excels in video creation.

Utilizing AI Tools Effectively

  • The speaker likens AI tools to smart interns, acknowledging their usefulness but also their limitations, such as memory lapses and inaccuracies.
  • Regularly updating the script and Google Drive folder helps maintain accuracy and serves as a reference point for both the user and the AI.

Establishing a Character and Scene Bible

  • Once the script is solidified, they create a "Character and Scene Bible," which acts as a foundational document for the project.
  • This document outlines core themes, character details (age, personality traits), scene descriptions, locations, props, and any essential narrative elements.

Importance of Consistency

  • Each character's role is documented meticulously to prevent inconsistencies during production; this includes wardrobe notes tied to specific scenes.
  • Locations are described with narrative significance to ensure continuity throughout the project.

Managing Changes During Production

  • The speaker treats the completed Bible as "canon," meaning any changes should be reflected there first to maintain coherence in storytelling.
  • Skipping this step often leads to complications later on; thus, it's crucial not to rely solely on memory when deep into production.

Casting Characters: A Collaborative Process

Generating Character Designs

  • For undefined characters, multiple versions are generated using various tools like Midjourney or Nana Banana Pro based on their strengths in realism or creativity.

Client Involvement in Selection

  • When working with clients, character selection resembles a casting sheet where clients can choose from generated options.

This structured approach ensures clarity in project management while leveraging technology effectively.

Character Design and Scene Generation Techniques

Creating Realistic Character References

  • The process begins with generating a realistic headshot of the character by using anti-AI prompts to create a grounded image that serves as the official face reference for the project.
  • Pose sheets are created from various angles of the character, which significantly reduces character drift when placing them in scenes. This includes both headshots and full-body shots.
  • Wardrobe is treated as part of the character's identity; outfits are generated alongside pose sheets to avoid reliance on text prompts later. Props relevant to the story also receive dedicated reference images.

Importance of Detailed Reference Sheets

  • Generating detailed reference sheets for characters, props, and wardrobe takes time but ultimately saves effort during scene generation by preventing inconsistencies.
  • The speaker plans to compile these prompts and templates into guides for AI film projects, providing resources for others once completed.

Managing Image Quality During Edits

  • Editing images can lead to a gradual loss of quality; small adjustments accumulate over time, softening the image's clarity.
  • Upscaling tools like Topaz Bloom can help restore some quality, but sometimes starting over is necessary if significant degradation occurs.

Regenerating Scenes for Higher Fidelity

  • When an edited scene becomes too softened, extracting a detailed breakdown (including composition and lighting details) allows for regenerating it from scratch with higher fidelity.
  • This method involves using extracted prompts along with locked-in reference images to rebuild scenes accurately without guesswork.

Locking in Visual Style Early

  • Before entering heavy generation phases, it's crucial to lock in visual style early; neglecting this step often leads to inconsistencies later on.
  • Defining elements such as lighting direction and camera feel at the start helps maintain consistency throughout the project.

Techniques for Maintaining Visual Consistency

  • Incorporating visual language directly into prompt templates—including descriptions of lighting and camera types—ensures uniformity across all images in a scene or sequence.
  • Creating mood boards or reference sheets captures desired aesthetics beyond just subjects, reinforcing visual goals even after breaks from the project.

Exploring Tools for Cinematic Creation

Utilizing Various Tools for Visual Direction

  • Higgsfield Cinema Studio is highlighted as a valuable tool for exploring lighting, cinematic tone, lenses, and cameras.
  • Midjourney offers unique methods for style control, enhancing the creative process in visual projects.
  • Mood boards from Freepik are recommended for gathering reference imagery and establishing visual direction.
  • While these tools are not mandatory, they assist in defining the look before entering the generation phase of production.

The Importance of Planning vs. Spontaneity

  • Color correction or grading can be done later if needed; however, enhancing the look upfront is often easier than fixing it post-production.
  • The speaker emphasizes that planning isn't always necessary; sometimes it's beneficial to experiment and create spontaneously.
  • A balance between exploration and production is suggested: making decisions first during production before generating content.

Engaging with the Audience

  • The speaker encourages viewers to share their thoughts in comments, which help shape future content based on audience needs.
  • Comments provide insights into what’s missing or confusing, guiding the creation of deeper breakdown videos and additional materials like guides or cheat sheets.
Video description

Most AI film projects don’t fail because of bad prompts. They fall apart because of decisions that never got made before the generations even started. I put together a 32-page AI Film Project Setup Guide that breaks down the exact pre-generation workflow I use on real projects, including 10+ reusable prompts for locking story, characters, and visual style. If your AI films start strong and fall apart later, this guide fixes that. 👉 Get it here: https://stan.store/AiForRealLife/p/ai-film-project-setup-guide In this video, I walk you through how I actually set up real AI film projects behind the scenes. Not theory. Not a polished demo. This is the exact process I’m using right now on active projects. I show: • Why character and scene drift really happens • The mindset shift that changed my AI filmmaking workflow • How I use ChatGPT and Gemini as a shared “external brain” for a project • What a Character & Scene Bible (Film Bible) actually looks like • How I lock characters, wardrobe, props, and locations early • Why images degrade over time and how I rebuild scenes cleanly • How I lock visual style, lighting, camera feel, and mood before generating [00:00] Introduction [00:30] Khalil's AI Filmmaking Background [01:10] Khalil's Workflow and Tools [01:17] "The Life of the Lazy Mon" Behind the Scenes [02:20] Common Pitfalls and Realizations in AI Filmmaking [03:23] The Mindset Shift: AI as a Film Crew [04:10] The Importance of Locking the Script [04:26] Using AI (ChatGPT/Gemini) for Scripting and Brainstorming [05:25] Organizing Project Files for Consistency [07:32] Creating a Character and Scene Bible [10:01] Casting and Locking AI Characters [10:45] Enhancing Realism with Specific Prompts [11:18] Generating Character Reference Sheets (Poses and Angles) [11:36] Locking Wardrobe and Props for Continuity [12:19] Using Templates and Guides for AI Projects [12:35] Dealing with Image Softening During Iteration [13:04] Upscaling and Re-generating Scenes for High Fidelity [14:55] Defining and Locking Visual Style [15:37] Methods for Maintaining Visual Consistency [16:38] Tools for Style Control (Cinema Studio, Midjourney, Freepik) [17:26] Balancing Planning and Creative Play [18:16] Conclusion and Call to Action This isn’t a rigid system you have to follow. Take what’s useful. Ignore what isn’t. But if you’ve ever felt like your AI film started strong and slowly fell apart, this video explains why that happens and how to avoid it. I’m also working on turning parts of this workflow into guides, prompt templates, and reference sheets. If I’ve finished those by the time you’re watching this, you’ll find links below. 👇 All guides, resources, and my newsletter live here: https://stan.store/AiForRealLife If this helped, leave a comment. Even when I’m behind on replies, I read them all. That’s how I decide what’s worth going deeper on next.