Template name:
Script-to-Reel Cinematic Director
https://elevenlabs.io/app/templates/sQr9Wz8QSWXc4x82TkvS
Short description
A reusable Template that turns a structured 4-part script (Hook, Conflict, Value, CTA) plus two reference images into a complete cinematic 30-second reel. Every ElevenCreative model in one pipeline: Gemini LLM, Seedance video, ElevenLabs Voice, Sound Effects, and Music, mixed in the composite for a finished reel or downloaded as separate assets for advanced editing.
Long description / what it does and for whom
Generating a cohesive 30-second cinematic reel usually requires manual, multi-step prompting across disparate tools. Executing this reliably within a single automated pipeline is notoriously difficult.
Script-to-Reel Cinematic Director solves this through a robust 30-node architecture within ElevenLabs Flows. It is built for filmmakers, brand creators, marketers, and educators who want to produce cinematic short-form reels without writing a single prompt for the underlying models.
The Template accepts three inputs: a structured XML-style script with four narrative sections (Hook 5s, Conflict 10s, Value 10s, CTA 5s), an avatar model sheet, and a product model sheet. From there, thirteen LLM nodes read the script, analyze the reference images, and generate optimized prompts for: Seedance 2.0 for video, ElevenLabs Voice for voice-over and narration, ElevenLabs Sound Effects for critical scene-defining sounds, and ElevenLabs Music for the synchronized instrumental score.
The composite node combines all assets with multi-track audio. Novice users get a finished reel they can download and post. Advanced users download the individual assets and assemble them in their preferred NLE (DaVinci Resolve, Premiere, Final Cut).
The Template is fully agnostic. Replace the script and the model sheets, and the same pipeline produces a new reel in any genre, for any brand, any narrative. Thriller, romance, horror, documentary, fantasy, action. The LLMs detect genre and tone from the script's EMOTIONAL_TARGET and SOUND_DESIGN fields, and adapt cinematography, voice delivery, sound design, and music accordingly.
Built for the community to scale high-end production.
Inputs (when defining the Template)
SCRIPT: structured 4-part script in XML format (HOOK, CONFLICT, VALUE, CTA)
AVATAR: character model sheet image (multiple angles, neutral pose, clean background recommended)
PRODUCT: product model sheet image (multiple angles, clean background, key details visible)
Outputs
Final 30-second cinematic reel (composite, ready to download and post)
Individual video clips per section (HOOK, CONFLICT, VALUE, CTA) for advanced editing
Voice-over audio tracks per section (if VO is present in the script)
Sound effects audio per section
Instrumental music score (30 seconds, synchronized)
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Through a fractured found-footage recording, a young woman’s final night in the Amazon reveals what happens when the jungle is watching—and decides you will not leave.
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Ordinary lives unfold in familiar, everyday moments until something shifts. Through the subjective perception of six individuals, reality fractures as they experience epileptic seizures, revealing a deeper truth: the real fear is not the seizure itself, but the constant uncertainty of when it will happen.
By placing the audience inside these moments of loss of control and vulnerability, the film transforms an invisible condition into a visceral, shared experience. In the aftermath, what remains is not fear, but the presence of others who know how to respond. Understanding epilepsy does not stop the condition, but it changes what happens next.
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Built for the Melius Challenge.
Most AI workflows are single-use machines. This one is not. I built a reusable cinematic reel director on @Melius that turns a structured 4-part script (Hook · Conflict · Value · CTA) plus two reference images into a complete 30-second cinematic reel. Any product, any story, any genre.
The example below is YANA by JASSA, a fictional limited edition perfume. Noir adventure in the Peruvian Amazon. Pure visual storytelling. Powered by Claude Opus, Seedance 2.0, and ElevenLabs Music.
Built for the community, not just for me.
#MeliusChallenge #AIFilmmaking #CinematicAI #Seedance #ElevenLabs #AIWorkflow #ShortForm #ContentCreation
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Project Title :
Project Description:
Most AI workflows are single-use machines. You feed them one input, you get one specific output, and the system dies with that one piece.
This one is different.
Script-to-Reel Cinematic Director is a reusable Melius flow that turns any structured 4-part script (Hook · Conflict · Value · CTA) plus two reference images (character model sheet + product model sheet) into a complete cinematic short-form reel with AI-generated video and a custom instrumental score.
I built it to be useful to the community, not just to me. Anyone with a script in the right format and two model sheets has a working cinematic reel generator. Replace the script. Replace the model sheets. The same flow produces a new reel in any genre: thriller, romance, horror, documentary, fantasy, action. The system prompts of each LLM are written to detect genre, tone, and visual style directly from the inputs and adapt cinematography, sound design, and music accordingly.
The included example produces a noir-adventure reel for "YANA by JASSA · away wasi", a fictional limited-edition perfume of 333 numbered units. An explorer parachutes into the Peruvian Amazon, survives the jungle, and discovers an ancient stone altar where the bottle waits. No voice-over. No dialogue. Pure visual storytelling, native diegetic sound generated by Seedance 2.0, and an Andean-noir orchestral score generated by ElevenLabs Music.
How the flow works:
3 inputs: structured script (text), avatar model sheet (image), product model sheet (image)
4 LLM nodes (Claude Opus 4.6) that read the script, visually analyze the reference images, and generate optimized prompts for each narrative section (Hook, Conflict, Value, CTA)
4 Seedance 2.0 nodes that generate the cinematic video clips using dual-image reference (@image1 = character, @image2 = product)
1 LLM node + 1 ElevenLabs Music node that read the full script and the reference images to generate a synchronized instrumental score
13 nodes total. Fully agnostic. Production-ready.
Project link: https://app.melius.com/projects/0db33abf-3e5d-4417-a044-adf3413d9536/canvas/de5a6761-5c0f-4b53-b7a0-7bb4bd78c8d5
Process Steps + Melius Feedback:
[PROCESS STEPS]
Step 1 - Concept and architecture in Claude
I started by designing the flow architecture outside of Melius. I worked with Claude to define the narrative structure (Hook · Conflict · Value · CTA), the data schema for the script (XML-style tags with fields for VO, ON_SCREEN_TEXT, AVATAR_STATE, CITY_DESCRIPTION, IMAGE_SEQUENCE, CAMERA, SOUND_DESIGN, DURATION, EMOTIONAL_TARGET), the role of each LLM, and the system prompts for each node. This gave me a complete blueprint before touching the canvas.
Step 2 - Building the flow with the Melius agent
I gave the Melius agent the blueprint and asked it to build the canvas. The agent created the 13 nodes, organized them visually, and wired the connections. I had follow-up consultations with the agent about available video and music models, node capabilities, and how to handle the absence of a composition/editing node.
Step 3 - Creating the reference images
I generated the character model sheet (an explorer version of my "digital homeless" avatar with Peruvian identity elements: braided Andean bracelet, chakana pendant, signature red sneakers) and the product model sheet (the YANA perfume bottle: hand-shaped faceted black obsidian, ghost engraving "YANA by JASSA 001/333", deep violet liquid inside) using Nano Banana 2 inside Melius.
Step 4 - Writing the script
I wrote the structured XML script for "YANA by JASSA · away wasi" iteratively with Claude, refining the narrative arc, the visual progression of the avatar (clean to battered to reverent to resolved), and the diegetic sound design. The script is fully reusable: anyone can replace it with their own narrative.
Step 5 - Pasting the system prompts and running the flow
I pasted the 5 system prompts (4 video + 1 music) into the LLM nodes, connected the inputs, and ran the flow. The 4 Seedance 2.0 nodes generated the cinematic video clips. The ElevenLabs Music node generated the instrumental score.
Step 6 - Manual post-production
Because Melius does not yet have a composition node that supports multi-track audio mixing or video editing inside the canvas, I downloaded the 4 video clips and the score, then assembled the final reel in an external editor (DaVinci Resolve) to mix the native Seedance audio with the ElevenLabs Music at the right levels.
[FEEDBACK ON MELIUS]
What worked well:
The agent-driven canvas construction is a real productivity unlock. Describing the flow conversationally and watching the agent build it is faster than dragging nodes manually.
Having Claude Opus 4.6 available as the LLM was critical for the quality of the generated prompts.
The visual canvas is clean and the node connections are intuitive once you understand the data types.
Seedance 2.0 with dual-image reference (@image1 + @image2) produced consistent character and product identity across multiple clips, which is what I needed for a coherent reel.
What I would love to see improved:
Composition / editing node. Right now Melius generates great assets but cannot assemble them inside the canvas. A node that combines multiple video clips, supports multi-track audio mixing (voice-over + music + diegetic sound), allows simple cuts and crossfades, and exports a final reel would close the loop and make Melius end-to-end. Today the workflow still requires DaVinci Resolve or similar for the final assembly.
Character count handling in node-to-node connections. I connected the music LLM output to the ElevenLabs Music input, but the receiving node read the prompt as having more characters than it actually had, causing rejection. I had to manually copy the LLM output and paste it into the music generator to make it work. This breaks the agentic flow promise. Either the validation should match the real character count, or the system should auto-trim if the source exceeds the limit.
Audio reference input on Seedance nodes. I originally designed the flow to include voice-over generation feeding into Seedance as audio reference (for lip-sync or guided performance). Seedance in Melius did not accept the external audio reference, so I had to simplify the flow and drop the voice-over generation entirely. Supporting audio reference inputs on video generation nodes would unlock a much richer narrative pipeline.
Despite these gaps, the flow I built is production-ready and reusable. Melius made it possible to ship a working cinematic pipeline in one afternoon instead of weeks, which is exactly the promise of the platform.
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