Primee32

@IamEmily2050 @Refiner_Studio These are just words that are not supported by anything.

@Refiner_Studio @Primee32 It is not his work and he have no idea what he is talking about 🤣 because he did not generate the video or wrote the prompt 🤣🤣

THE 16-FRAME GRID TRICK THAT KEEPS SEEDANCE 2.0 CHARACTERS CONSISTENT One monk. One white dragon. A full chase sequence through a waterfall canyon and into a forest. No drift, no dragon losing its horns mid-scene, no robe changing shade between cuts. Most creators generate one reference image then re-prompt Seedance 2.0 shot by shot and hope the character holds together. The real consistency comes from building the entire sequence as one 4x4 storyboard grid in GPT Image 2.0 first — then feeding that grid into Seedance 2.0, not raw prompts. Here's the workflow: 1. Write the character bible — monk: bald, gold robe. dragon: white fur, antler horns, amber eyes. locked before frame one 2. Draft 16 frame captions — shot type + action + one punchy line each 3. Lock the visual style in a single block — cinematic, shallow depth, water mist, motion blur on fur 4. Generate the full 4x4 grid in GPT Image 2.0 — numbered corners, thin black borders, captions baked in 5. Pull each frame out as its own reference image 6. Feed each frame + its caption into Seedance 2.0 as an individual shot 7. Stitch the shots in storyboard order Why this works: - Dragon and monk get designed once across the whole grid — not reinvented in 16 separate prompts - Motion blur and mist already encode energy so Seedance has less to guess - Frame captions double as your shot list — no re-planning once you're animating - Consistent framing forces consistent camera logic before video even starts Use cases: ⁃ Mythology / fantasy sequences with non-human creatures ⁃ Action chase scenes across multiple environments ⁃ Character + creature pairs that need to stay locked across cuts ⁃ Cinematic shorts with no budget and no team Not every fur detail survived the jump to video untouched — some cleanup needed once things start moving. But designing the dragon and monk together in one grid before touching Seedance killed almost all my consistency issues.

@Fr0oZi It's the #1 problem with AI video. Full prompt breakdown dropping this week — follow so you don't miss it.

@Primee32 character consistency is such a pain, this looks super useful

@MahnoorAi12 Most people skip it. That's exactly why their results are inconsistent.

@Primee32 Great tip. Storyboards make a huge difference.

THE STORYBOARD METHOD THAT TURNED A GRANDMA VS ROBBER IDEA INTO A 9-SHOT AI SHORT IN ONE SESSION One grandma. One robber. A 15-second comedy chase outside a city bank. No character drift, no pink coat changing shade, no balaclava disappearing between cuts. Most creators write one prompt and hope the story tells itself. The real narrative comes from building a full storyboard first — 9 shots, timing locked, character sheets done — before touching Seedance 2.0 at all. Here's the workflow: 1. Write the scene in one line — grandma, robber, bank, chase 2. Build the character sheet — grandma: pink coat, bunny slippers, red glasses. robber: black hoodie, balaclava, money bag 3. Draft 9 shot captions — shot type + timing + one punchy action line each 4. Lock the color palette — pink vs black, warm city tones, high contrast between characters 5. Generate the full storyboard grid in GPT Image 2.0 — numbered panels, captions baked in, character sheet on the right 6. Pull each panel as its own reference image 7. Feed each panel + caption into Seedance 2.0 as an individual shot 8. Stitch in sequence order Why this works: - Both characters get designed once — grandma stays grandma, robber stays robber across every cut - Comedy timing is locked at the storyboard stage — Seedance animates the beat, not guesses it - Color contrast between pink and black tells Seedance who to track in every frame - Shot labels give the model explicit camera logic before a single frame generates Use cases: ⁃ Short-form comedy sketches with multiple characters ⁃ Brand mascot content with conflict and resolution ⁃ Kids animation with simple clear story beats ⁃ Any narrative short where timing and character contrast matter Not every comedic expression landed perfectly — grandma's angry face needed a few regenerations. But building the full 9-shot board before opening Seedance turned a silly idea into a complete story in one session.

@ResearchKONG Exactly. Storyboard first, animate second. The model can't fix a story it was never given.

@Primee32 先做完整故事板再进视频模型，这个思路比逐镜头赌运气靠谱多了。角色、光线、运动逻辑提前锁死，后面只是执行和修边。

@yukin_co Thanks bro! this is just a prototype, more to come!!!

なんだこれ。 超かっこいいじゃん！！本編はどこ？

@smith_john19633 no. Its dragon😃

@Primee32 LMAO tail and head removed that is a horse not a dragon.

@smith_john19633 What??

@Primee32 That's a horse though...

@victorpfreitas thanks!

@Primee32 Great workflow!

@NexlowX Honestly, looks amazing!

SEEDANCE 2.0 JUST LET SOMEBODY BUILD A FULL SHORT FILM FOR THE PRICE OF A COFFEE A solo creator spent $1.20 total and built a 2-minute short film with zero actors and zero cameras. Homeless old man. A stray dog. One shared slice of pizza. Here's the exact setup: The tool is Seedance 2.0. ByteDance's video model, released February 2026. First model that takes text, images, video, AND audio as reference. Up to 12 files in one generation. That's why the old man and the dog look identical in every single shot. Most AI video breaks on consistency. Face changes. Shirt changes. Dog turns into a different dog. Seedance 2.0 locks it: Upload a character sheet once. Same face, same scars, same collar, every scene. Reference an image once. It holds for the whole film. The workflow looks like a real film shoot, not a prompt box: Build a character sheet first. Turnaround. Expressions. Wardrobe. Write shots like a DP. "CLOSE-UP, slow push in, expression: hopeful but exhausted." Generate 4 to 15 sec per clip. Stitch into scenes. The cost math: Cheap tier: $0.05 for a 5-second 720p clip Premium tier: $3.03 for 10 sec at full quality Sora 2 at the same resolution: roughly 100x the price A 2-minute film is about 24 clips. That's the $1.20. The video ends mid-scene with "To be continued." Not laziness. That's the hook. Open loop → comments asking what happens next → free reach → next episode already has an audience. That's the whole game right now. Cheap generation plus real storytelling instinct. Bookmark this before it gets buried.

EVERYONE'S STILL TALKING ABOUT CHATGPT WHILE OPENAI QUIETLY SHIPPED A FULL LOCAL AGENT THAT ACTUALLY TOUCHES YOUR FILESYSTEM it's called Codex. free if you already pay for ChatGPT. and the real difference isn't a feature, it's the execution model: ChatGPT runs entirely in the cloud, Codex runs as a native desktop app with direct file system access on your machine technical breakdown of what that actually means: WORKSPACE MODEL everything is scoped to "projects" — literal folders on disk that Codex gets read/write access to. no sandbox abstraction, no upload step. you point it at a directory and it operates on the real files sitting there MODEL + REASONING CONTROLS you pick the model (currently GPT-5.5) and a separate reasoning intensity slider — low through extra high. this isn't just "smarter vs dumber," it's a compute/latency tradeoff exposed directly to the user. medium/high is the sweet spot for most tasks, extra high is for genuinely hard multi-step reasoning where you'll tolerate slower output FILE GENERATION ask it to process a folder of receipts and it builds a real .xlsx, multi-tab, formulas and categorization included, rendered inline in a side panel via its own document viewer. the file lives on disk immediately, no export step, no intermediate cloud copy SKILLS = PERSISTENT INSTRUCTION SETS this is the part with real architectural weight. a "skill" is just a saved instruction block Codex writes for itself when you say "make a skill called X that always does Y." functionally this is user-defined system-prompt injection you control through natural language instead of a config file. no other consumer AI tool exposes this as cleanly PLUGIN LAYER = ACTION SURFACE Gmail, Google Drive, Calendar, Canva, Remotion — plugins aren't just data connectors, they're what convert Codex from a text generator into something with actual write-access to third-party systems. connect Gmail and it can draft in your tone, learn from your reply history, and you can literally tell it to run on a cron-like schedule ("every morning at 9am") and it sets up the automation itself, no explicit scheduling logic from you BACKGROUND EXECUTION tasks run async while you work elsewhere — a persistent UI element surfaces only when a task needs a decision from you (e.g. granting network access mid-task). this is closer to a job queue with human-in-the-loop checkpoints than a chatbot turn-based interface net effect: this collapses "generate content" and "execute on my system" into one interface, something ChatGPT's cloud-only architecture structurally can't do most of your feed is still treating this as "ChatGPT but for coders." it's not. it's a local execution agent, free, and most people haven't opened it yet the window is open

@madpencil_ Clip credit goes to @steviemac03x — the workflow breakdown is original. Thanks for the reminder to tag.

@Primee32 first, this clip isn't made by you it's by Steven and second you can't show consistency in one single render, put out your own work first, don't be a content thief.

@Refiner_Studio you to!

@Refiner_Studio Yes, each of the 16 frames acts as a reference anchor — you feed frame + caption together so Seedance knows both what it looks like and what it should do. Full prompt template and grid breakdown this week. Stay tuned.

This looks stunning and fantastic imagination🙌🙌 By 16 frames, do you mean use them as "keyframes" to start/end shots? Also, if possible you could you please share the prompt for generating these 16 frames with GPT IMAGE 2? I'm actually understanding how do prompt to keep moving the two subjects further imagewise and handle the direction/path of the movement. Brilliant work 🙌🙌🎉🎉🔥🔥

@YYaiYaiYY Yes. Prompt structure, grid annotations, and character bible template — all coming this week.

@Primee32 Will there be prompt analysis?

@_IGI_Media_ Next post covers exactly that. Follow so you don't miss it.

@Primee32 can you show the grids plz

@JulianJenkins 16-frame grid method. Build the full sequence in GPT Image 2.0 first, then feed each frame into Seedance as individual shots and stitch them together.

@Primee32 How do you go further than 15 seconds

@LmNguyn92578418 Yes. It is.

@Primee32 Insane work😍