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Nexlow

@NexlowX

AI & automation no hype, just what works

Beigetreten Nisan 2021
59 Folgt255 Follower
Nexlow
Nexlow@NexlowX·
THE MOST PRECISE SEEDANCE 2.0 CHASE-SCENE METHOD I'VE TESTED One rollerblader. Full-speed pursuit + wardrobe motion + neon reflections happening at the exact same time. No drone-path drift, no character breaking form mid-slide. Most creators storyboard with plain notes and hope the model figures it out. The real precision comes from feeding Seedance 2.0 a structured, color-coded shot language instead of plain prompts. Here's the workflow 1. Build the sequence concept — chase geometry and character motion as one system 2. Draft a shot-by-shot storyboard (12 panels, wide → tracking → hero landing) 3. Layer in a motion path to lock the drone's pursuit line 4. Layer in a pose-timing sheet to lock the skater's stride under speed 5. Color-code every annotation — separate colors for body movement, camera motion, framing/composition, and lighting 6. Generate character + environment sheets in GPT Image 2 from that annotated board 7. Animate each panel in Seedance 2.0 Why this works: Model stops confusing move the camera with move the skater Drone path and skater speed stay synced instead of fighting each other Neon/lighting notes don't get buried in motion direction Way fewer regenerations per shot Use cases: • Chase and action sequences • Music videos with practical-feel choreography • Character-driven short films • Stunt-heavy brand content • Cyberpunk / neon-city concept trailers Not everything technically landed the way I planned. But separating direction by color mattered more than any single prompt trick.
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Nexlow
Nexlow@NexlowX·
@0xSlyth not the model matters task distribution does
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0xSlyth
0xSlyth@0xSlyth·
A 19 YEAR OLD ALREADY FIGURED OUT HOW TO AVOID HITTING CLAUDE FABLE'S LIMITS Most people burn through their tokens He changed the workflow instead Here's the system: -> Use Fable only for architecture and planning -> Let Sonnet write and implement the code -> Use Haiku for routine checks and simple tasks -> Keep Fable out of repetitive debugging loops -> Set strict success criteria before starting -> Limit fixes to two attempts before blocking the task The crazy part? He stopped treating Fable like a coding assistant He started treating it like a Tech Lead Instead of saying: "Analyze my whole codebase." He does this: > Fable writes the spec > Sonnet builds it > Another model verifies it > Fable only steps in when real decisions are needed While everyone else is wasting expensive tokens reading logs He is spending them only where intelligence actually matters The biggest AI skill in 2026 isn't writing better prompts It is knowing which model should do which job Fable isn't your junior developer It's your architect Let cheaper models handle the trenches Let Fable make the decisions That's how you build faster Without burning through your limits Bookmark this before you waste your next million tokens
Rexei@iamrexei

x.com/i/article/2072…

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Nexlow
Nexlow@NexlowX·
@0xSlyth thanks the future is incredibly exciting and we're only getting starte
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0xSlyth
0xSlyth@0xSlyth·
@NexlowX this is the future of indie filmmaking
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Nexlow retweetet
Nexlow
Nexlow@NexlowX·
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.
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Sairah
Sairah@Sairah_0·
Made a Haaland FIFA edit with Seedance 2.0 Prompt: A high-end 3D Pixar-style digital animation. The subject is a cute, chubby toddler caricature of professional footballer Erling Haaland standing on a vibrant green grass pitch inside a massive, packed football stadium at night. The toddler has oversized features, including a round face, an exaggerated pouty and grumpy expression, and his signature long blonde hair tied neatly into a top-knot bun with shaved sides. He is wearing a detailed light blue Manchester City FC home kit, complete with matching shorts and golden football boots. He stands confidently with his arms tightly crossed over his chest, rocking slightly back and forth to the rhythm of music, giving a playful and defiant attitude. One foot is planted firmly on top of a classic star-patterned UEFA Champions League football. The camera angle is a dynamic, low-angle full-body shot that makes the character look heroic yet adorable. The background is softly blurred with bokeh, showing a massive crowd under intense, bright stadium floodlights that cast crisp highlights on his hair and clothes. Cinematic lighting, rich colors, ultra-detailed textures on the fabric, hair strands, and grass blades, rendering in smooth 4K resolution.
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Nexlow
Nexlow@NexlowX·
@RrichPRMR otherwise you'd have had to hire a team for way more than a thousand dollars
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Rich
Rich@RrichPRMR·
@NexlowX pretty impressive for just over a dollar
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Nexlow
Nexlow@NexlowX·
@ManuAGI01 thank you so much! I really appreciate it
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Nexlow
Nexlow@NexlowX·
THE 16-FRAME GRID TRICK THAT KEEPS SEEDANCE 2.0 CHARACTERS CONSISTENT One character. Three riders. A full chase sequence across 16 shots. No drift no redesign mid-scene, no "wait why did her hoodie change color." Most people generate a single 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 scene + character bible setting outfits vibe movement style all in one place 2. Draft 16 frame captions shot type + action + one punchy line each 3. Lock the visual style in a single block halftone, motion lines, smear frames, tilted panels 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: • Character gets designed once across the whole grid not reinvented in 16 separate prompts • Comic-style motion lines and smear frames already encode direction so Seedance has less to guess • Frame captions double as your shot list no re-planning once you're animating • Consistent panel tilt and framing forces consistent camera logic before video even starts Use cases: • Chase scenes / action sequences with multiple moving subjects • Comic-to-motion adaptations • Group shots where every character needs to match across cuts • Fast-cut sports or extreme-sports style edits Not every frame survives the jump to video untouched some smear effects need cleanup once they're moving. But building the whole sequence as one grid before touching Seedance 2.0 killed almost all my consistency issues.
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Nexlow
Nexlow@NexlowX·
@cipgerx this is incredibly realistic
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Cipgerx
Cipgerx@cipgerx·
MOST PEOPLE WILL USE FABLE 5 TO MAKE MORE AI CONTENT THE SMART ONES WILL USE IT TO ERASE A $5K OUTDOOR SHOOT🛶 That gap is where the money is A woman cuts through whitewater in a solo canoe Looks like a clip But the expensive part is the shoot that never happened: no model no river booking no safety crew no waterproof camera setup no weather risk no retakes Same face Same swimsuit Same canoe Same paddle Same danger in the water That is not just consistency That is a sellable production system A rafting tour can turn this into ads A swimwear brand can test adventure angles An outdoor gear brand can sell motion without touching a river Most creators will sell “AI videos” The smarter offer is: “I’ll build the shoot your brand does not want to pay a crew for” The money is not in making AI look real The money is in making real shoots unnecessary I’m documenting these cases in public: the clip, the missing invoice, and the offer hiding between them Save this structure This is where small-brand AI money starts💸
Cipgerx tweet media
DiKrass | Thoughts@Di_Krass_

x.com/i/article/2072…

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Nexlow
Nexlow@NexlowX·
@cinemadrom Hi thanks for reaching out sounds interesting can you share more details?
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CINEMADROM metaverse
CINEMADROM metaverse@cinemadrom·
@NexlowX Hi. You have interesting AI videos. Monetize your AI videos and earn income. Both AI creators and viewers receive income on the AI ​​Movie Platform & Festival. 🤝 Join us.
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Nexlow
Nexlow@NexlowX·
THE MOST PRECISE SEEDANCE 2.0 STORYBOARD METHOD I'VE TESTED One performer. Live singing + choreography happening at the exact same time. No lip-sync drift, no expression breaking the movement. Most creators storyboard with plain notes and hope the model figures it out. The real precision comes from feeding Seedance 2.0 a structured, color-coded shot language instead of plain prompts. Here's the workflow 👇 1. Build the story concept — voice and body as one instrument 2. Draft a shot-by-shot storyboard (12 panels, wide → close → hero shot) 3. Layer in IPA to lock the singing/mouth shapes 4. Layer in FACS to lock micro-expressions under the vocal performance 5. Color-code every annotation — separate colors for body movement, camera motion, framing/composition, and lighting 6. Generate character + environment sheets in GPT Image 2 from that annotated board 7. Animate each panel in Seedance 2.0 Why this works: • Model stops confusing move the camera with move the body • Singing and choreography stay synced instead of fighting each other • Lighting framing notes don't get buried in character direction • Way fewer regenerations per shot Use cases: ⁃ Contemporary dance / performance art films ⁃ Music videos with live vocal capture ⁃ Character-driven short films ⁃ Choreography-heavy brand content ⁃ Experimental theater docs Not everything technically landed the way I planned. But separating direction by color mattered more than any single prompt trick.
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Nexlow
Nexlow@NexlowX·
@UbermaX9010 splitting into color-coded layers (camera/body/light) + IPA/FACS stops the model from confusing movement expression and vocals at once
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ubermax
ubermax@UbermaX9010·
@NexlowX and why does this happens? do yo uknow why specifically your solution is working?
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Nawal
Nawal@nawalsehar·
@NexlowX Great tip for consistent characters.
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Nexlow retweetet
Nexlow
Nexlow@NexlowX·
THE CHARACTER SHEET FORMAT THAT STOPS SEEDANCE 2.0 FROM REDESIGNING YOUR CHARACTER MID-SHOT One face. Four angles. Four expressions. Three action poses. Zero identity drift once he actually starts moving. Most people generate one hero portrait and hope Seedance 2.0 holds the design steady across every new shot. The real consistency comes from feeding it a full turnaround sheet instead of a single image everything the model needs to know about the character locked in one canvas. Here's the build order: 1. Lock the character bio in one block — age, build, ethnicity, hair, general read 2. Lock outfit + palette in a separate block — fashion direction, color story, accessories 3. Build the full turnaround — front, 3/4, side, back, all in one sheet 4. Add a 4-expression panel — neutral, happy, angry, surprised 5. Add 3 action poses at the bottom — range of motion, not just standing 6. Add detail callout zooms — fabric texture, accessories, shoes, face close-up 7. Add an outfit breakdown panel + color swatches with hex-style labels 8. Feed the finished sheet not a single portrait into Seedance 2.0 as the character reference Why this works: - Every angle and expression gets generated in one pass, so nothing gets reinvented differently shot to shot later - Detail callouts lock the small stuff tattoos, gloves, pendant that's usually first to drift - Outfit breakdown + swatches give Seedance explicit color anchors instead of guessing from one lit photo - Same lighting logic across every panel means Seedance isn't fighting conflicting shadow directions between references Use cases: - Original characters for animated shorts / music videos - Game character previz before full animation - Brand mascots that need a consistent expression range - Any project where one character has to hold up across many shots Not every accessory survives every angle perfectly small pendant and tattoo details still need a manual check after generation. But building the full sheet before ever opening Seedance 2.0 cut character drift down to almost nothing.
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Nexlow
Nexlow@NexlowX·
@Primee32 turnaround preserves proportions a single reference loses them
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Primee32
Primee32@Primee32·
@NexlowX Turnaround sheet > single reference. Every time.
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Nexlow
Nexlow@NexlowX·
@Primee32 not bad keep going in that direction
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Primee32
Primee32@Primee32·
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.
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Nexlow
Nexlow@NexlowX·
@cipgerx consistency isn't luck it's a specification
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Cipgerx
Cipgerx@cipgerx·
@NexlowX the model can’t preserve what you never locked in
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