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Title: Dream-to-Video Creative Direction Workflow
For the Melius Contra Challenge, I built a reusable AI video workflow for creative directing short cinematic scenes from character references, environment references, mood references, and a written script.
I created it for my own dream-based storytelling practice. I’m writing a Substack series inspired by dreams, and I’m using AI-generated content and interactive web experiments to expand those stories into visual worlds. For this submission, I used one of those dreams as materia prima and worked with Mel step by step to shape the workflow and keep the output close to the vision.
The workflow generates character and environment previews, scene keyframes, individual video shots, a stitched final sequence, and a final restyle pass.
Process:
- Built a modular canvas with separate inputs for characters, environment, mood, and story direction.
- Used the Melius agent to structure the workflow into production nodes: creative brief, character consistency, environment direction, shot list, final prompts, and negative prompts.
- Added preview nodes for Character 1, Character 2, and the environment to lock visual consistency before generating video.
- Created multiple scene keyframes and video shots, then refined them through agent feedback and manual inputs.
- Added a stitching node to sequence the shots into one narrative video.
Feedback:
Melius was especially useful as creative direction canvas. It let me stay in the creative direction seat while the agent handled the technicalities, instead of having to solve every small detail by hand.
The main challenge was controlling reference fidelity, hallucinations, and consistency across the workflow. When making changes to prompts inside different nodes, I sometimes had to remind the agent of specific rules to preserve character identity, environment logic, and story continuity.
I’m excited to continue refining this workflow and use it moving forward to generate videos for my stories, (which you can read here https://thelaboratorio.substack.com btw), as well as for client work.
Project link:
https://app.melius.com/projects/30a8d320-567b-4a16-aeaa-c14e81ec6358/canvas/5bc957a2-4e9a-4bba-a3ac-1fb0f0e22329
I’m also keen to hear any feedback on the workflow, so let me know if you try it.
Social post:
https://x.com/xochiworld/status/2056829178020814885
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Title:
The Graphic Novel Syndicate: A Fully Automated 60-Page Production Pipeline
Project Link: [https://app.melius.com/projects/c95de835-b21e-42cb-b77b-d11344bb6a92/canvas/feccc0eb-d8d4-4196-8dfd-21ee38fe6af0 ]
Video Walkthrough: [https://youtu.be/lN5iBnjXkAw]
Project Description:
Most creators use generative AI to create isolated images or short videos. I wanted to push Melius to its absolute architectural limits by building a fully automated, scalable production pipeline designed to generate a cohesive 60-page noir graphic novel. I successfully rendered 18 complete pages (over 100 panels) end-to-end, but I eventually hit the hard limits of both the UI performance (severe lagging) and my credit balance. However, the engine architecture itself is fully functional, proven, and ready to scale. It is not just a comic; it is a workflow-native engine designed for continuous storytelling.
Process Overview & Architecture (What I Used):
To achieve absolute consistency without the system hallucinating or losing the plot, I structured the Melius canvas like a software backend, utilizing multiple node types:
Phase 1: The Master Brain (World Building LLM)
I started with a primary LLM node acting as the "Showrunner." Given a single seed sentence, it generated a comprehensive "Story Bible," locking in the overarching plot, environmental aesthetics, and strict character design rules.
Phase 2: The Logic Parsers (Workflow Routing LLMs)
To prevent data overload, the output from the Master Brain is fed into secondary, specialized AI Text Nodes. These act as logical routers. They parse the master script and isolate exact prompts for specific panels, ensuring each downstream image node receives only the precise data it needs.
Phase 3: The Render Array (Parallel Text-to-Image)
The parsed prompts are fed simultaneously into a battery of Image Generation nodes (Flux/Grok). This parallel array generates the raw pages (6 panels at a time) maintaining the high-contrast noir aesthetic dictated by the Master Brain.
Phase 4: The Cinematic Climax (Start/End Frame Video & Audio)
To fulfill the ">1 node type" requirement and add a massive "wow" factor, the final panels of key scenes are routed into Image-to-Video and Audio (ElevenLabs) nodes. By feeding Panel A (Start Frame) and Panel B (End Frame) into the video model, the engine creates hyper-smooth, logical cinematic transitions for the story's climax, complemented by epic sound design.
Extensiveness of Agent Use:
The Melius Agent was my co-architect throughout this build. I utilized the Agent to help design the logical flow of the parsing nodes. When dealing with the massive data flow from the Master LLM to the 6-panel Render Array, the Agent helped structure the prompt extraction logic, ensuring the "spaghetti wiring" remained functional and the data routed correctly to the visual generators.
Feedback on Experience Using Melius:
The Highlights & UI Experience:
This is arguably the first AI agent I've encountered capable of genuinely grasping complex, high-level structural requests. While I am highly accustomed to the deep technicality of complex node-based tools like ComfyUI, Melius offers a brilliant contrast: the visual canvas is incredibly clean and accessible. The ability to visually orchestrate AI collaboration is phenomenal.
Areas for Improvement (Stress-Test Feedback):
Because I pushed the platform to its limits with this massive pipeline, I found a few severe bottlenecks:
Credit Exhaustion from Deep R&D: My ultimate goal was to finalize the entire 60-page project to the highest possible polish, but I hit hard credit limitations after rendering 18 pages. I burned through a massive portion of my credits purely on R&D—extensively testing different model outputs, probing the Agent's comprehension limits, and figuring out exactly how far and how deep I could push the node architecture before it broke.
Performance & Batch Errors: The web app currently struggles under heavy production loads. By the time I reached 18 pages, I experienced choppy canvas navigation and frequent errors when queuing multiple generation batches.
Wiring Logic at Scale: In massive multi-node networks, the Agent occasionally lost track of correct connections. It would claim everything was wired perfectly, but upon explicit prompting to double-check its work, it would discover its own routing errors.
Pre-Run Cost Estimator: A massive UX improvement for power users would be implementing a built-in UI feature that analytically calculates the exact credit cost of the entire node tree before hitting "Generate," rather than relying on the Agent's estimates.
Custom LoRAs: Adding support for custom LoRAs would be the ultimate upgrade for maintaining absolute character consistency in sequential art pipelines like this one.
wow i didn't even know our agent was capable of this
🚀 Excited to showcase my AI-powered creative workflow in the #meliuschallenge!
I’m exploring creative AI workflows using Melius to build engaging content ideas, visual storytelling concepts, and beginner-friendly digital marketing projects.
My goal is to AI creativity with content writing, digital marketing, and social media strategy to create useful and inspiring digital experiences.
Looking forward to learning, building, and connecting with other creators in the community!
#AI #ContentWriting #digitalMarketing #DigitalCreator
The challenge theme was “Anything you can imagine. Create something you wish existed but doesn’t.”
That got me thinking about how often we randomly wish a product, brand, or idea existed after having a dream or strange thought.
So I asked Melius to create an AI agent system that takes a dream, surreal idea, or imaginary product and turns it into a real brand.
For this project, I gave it a single prompt:
“A perfume that smells like rainy childhood evenings.”
What blew my mind was that it didn’t just generate random visuals. The agents actually started thinking like a real creative team! Interpreting emotions, building a brand strategy, deciding on art direction, creating packaging, ad campaigns, cinematic posters, commercials, social media assets, and even the overall world around the brand.
The final brand it created was called “Afterrain.” All in an instant!
What makes Melius feel different from normal AI tools is that the workflow feels collaborative and intentional. Instead of just outputting images, the agents behave more like art directors, strategists, filmmakers, and designers working together creatively. Watching the nodes evolve and influence each other honestly felt closer to working with a futuristic creative agency than using a generator.
The craziest part is that all of this is the branding, visuals, campaigns, packaging, posters, and cinematic direction, came from a single prompt.
This project explores the idea:
“What if dreams and impossible ideas could instantly become real brands?”
Try it yourself!🙂
Project Link: https://app.melius.com/projects/c34f166a-dbdd-4008-aea3-fb644a0200f2/canvas/d695e870-4e73-40ad-8439-e5839afd77c9
Social Link: https://x.com/Arjustings/status/2054868056485290045?s=20
A few more assets generated by Melius!
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