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Ten available! $75 USD Single character + simple background! Head to thigh artwork 🖤 Reply/DM with character reference if interested! (10 picked at random this week, estimated 1-3 weeks turnaround, SFW/Suggestive art only)

Steve 'Stevesie' Gregson

38,329 subscribers

11,093 görüntüleme • 16 gün önce •via X (Twitter)

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GPT Image 2 + Seedance 2.0 I used a movement sheet as a reference image to animate the dance. Prompt: Monochromatic grayscale illustration, 3D-rendered character, clean instructional reference sheet. White background, comic-style cell grid layout, technical diagram aesthetic. [LAYOUT] 4×4 grid layout (16 panels total). Each panel separated by thin black border lines. Panels are evenly sized and consistently aligned. Each cell is clearly numbered from 1 to 16. [CHARACTER] (Insert character description) Example: Young female dancer with an athletic build, ponytail hairstyle, wearing a crop top, baggy pants, and sneakers. The same character must appear consistently in all panels. [PANEL STRUCTURE – per cell] Top-left: bold number badge + Korean title text Center: full-body character pose illustration Bottom-left: Korean description text (3–4 lines) Overlay: directional arrows indicating movement flow [ARROWS / MOTION INDICATORS] Curved arrows, straight arrows, and circular rotation indicators. Arrows should be placed around the character to clearly show movement direction and flow. [RENDERING STYLE] Highly detailed 3D sculpted style. Soft studio lighting with subtle shadows. No color — grayscale only. Clean linework, polished finish, game concept art quality. [NEGATIVE PROMPT] No background scenery. No color tones. No additional characters. No cluttered or complex backgrounds.

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ポテチ🥔VGEN CMS OPEN

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Zanshin Studio | Art & Live2D

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Paw ✂️🐰

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OTO 👀

11,068 görüntüleme • 1 yıl önce

✨[Animated sticker comm]✨ We will create an animated sticker with your character that can be used for discord and other purposes. If the number of slots is exceeded, priority will be given to those with a Patron paid plan. ✨[Item]✨ 3 seconds loop MP4 GIF Size GIF approx. 100 x 100pixel Mp4 approx. 300 x 300pixel ✨[Price]✨ ①A or B 80USD A+B(+10USD) ②A or B 80USD A+B(+10USD) ③ 80USD Any two of ①②③ 130USD ①＋②＋③ 180USD ➇A or B 80USD A+B(+10USD) ⑨ 80USD ➇＋⑨ 130USD Paypal only ✨[Need]✨ X or BlueSky or patron account Your character reference ✨[Note]✨ The character you create will have the same composition as the sample. You will be informed once before the animation is created, and only at this time can you make any modifications. After the animation is completed, no modifications will be accepted unless there is a faulty mistake. To make a request, send a DM to patron or X or BlueSky.

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シオNya🐾

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let me explain what's actually happening with $ZOE and why most of CT is gonna miss this entire window Charms is launching their public platform this month. character economy. AI characters that are tokens, tokens that are characters, every trade pays creator fees forever. $ZOE is the first one. live this week on Base, deployed through clanker. CA: 0xC29832025E7652ef58D15F7fA3e232A2fDfaaB07 three things you need to clock: 1. this is the platform's launch token. not a random clanker. the FIRST character ever shipped from Charms, used by the team to demo what the entire economy will look like once public launch hits. every other character coming after $ZOE references $ZOE. that's a specific kind of asset and the market historically misprices these on day 1. 2. the creator fee model is the real bull case. Charms straight up posted: if you had launched Zoe, you'd have made $15K+ in fees in 24h. that number tells you exactly how much volume they're routing through this thing. 0.8% of every single trade goes to creator. perpetually. now imagine that fee tap on a token that becomes the reference asset for an entire AI character economy. 3. they're paying $15K + 3 months of fees to top 3 posters. think about what that means. they have so much confidence in the volume this thing will do that giving away 3 months of creator fees is a worthwhile marketing budget. teams don't do that math unless they expect the fee pipe to be massive. Clanker as the deployment layer is also not a footnote. CLANKER itself runs a revenue -> buyback flywheel. that infrastructure is battle tested. $ZOE plugs into a system that already works. the setup: - first character from a platform launching this month - pre-public-launch entry window - proven fee mechanics - Clanker rails underneath - team aggressively seeding distribution i'm not telling you what to do. i'm telling you the structure of this launch is one of the cleaner asymmetries on Base right now and the entry window is measured in days not weeks. if you wanna talk to her first. then decide. NFA. obviously.

let me explain what's actually happening with $ZOE and why most of CT is gonna miss this entire window Charms is launching their public platform this month. character economy. AI characters that are tokens, tokens that are characters, every trade pays creator fees forever. $ZOE is the first one. live this week on Base, deployed through clanker. CA: 0xC29832025E7652ef58D15F7fA3e232A2fDfaaB07 three things you need to clock: 1. this is the platform's launch token. not a random clanker. the FIRST character ever shipped from Charms, used by the team to demo what the entire economy will look like once public launch hits. every other character coming after $ZOE references $ZOE. that's a specific kind of asset and the market historically misprices these on day 1. 2. the creator fee model is the real bull case. Charms straight up posted: if you had launched Zoe, you'd have made $15K+ in fees in 24h. that number tells you exactly how much volume they're routing through this thing. 0.8% of every single trade goes to creator. perpetually. now imagine that fee tap on a token that becomes the reference asset for an entire AI character economy. 3. they're paying $15K + 3 months of fees to top 3 posters. think about what that means. they have so much confidence in the volume this thing will do that giving away 3 months of creator fees is a worthwhile marketing budget. teams don't do that math unless they expect the fee pipe to be massive. Clanker as the deployment layer is also not a footnote. CLANKER itself runs a revenue -> buyback flywheel. that infrastructure is battle tested. $ZOE plugs into a system that already works. the setup: - first character from a platform launching this month - pre-public-launch entry window - proven fee mechanics - Clanker rails underneath - team aggressively seeding distribution i'm not telling you what to do. i'm telling you the structure of this launch is one of the cleaner asymmetries on Base right now and the entry window is measured in days not weeks. if you wanna talk to her first. then decide. NFA. obviously.

toxacnphnk.eth

13,754 görüntüleme • 2 ay önce

gemini omniflash is actually f*cking cracked. you can animate/edit any video with a text prompt. character swaps, object transforms, full environment changes without regenerating/rotoscoping. everyone using AI to to animate and edit videos right now hits the same wall. the clip comes out 90% right and you regenerate from scratch hoping the 10% fixes itself. it never does. the fix is using your video as the input. omniflash edits what's already there instead of rolling the dice again. here's what's in the system: > the two-layer premiere trick: generate the same shot twice (one with background removed), stack them, cut at one frame, instant scene change > character swap with a single reference image (plus the one line you need or the model keeps the original's features) > object transforms that leave the rest of the frame untouched: stone into glowing sphere, candles into flowers > style transfer from an image reference instead of text, way more accurate > why stacking edits in one prompt breaks everything and the exact step order that doesn't > the audio limitation nobody mentions and how to work around it i packaged every prompt, the edit sequence, and the premiere layering setup. RT + reply "OMNI" and i'll send it over.

gemini omniflash is actually f*cking cracked. you can animate/edit any video with a text prompt. character swaps, object transforms, full environment changes without regenerating/rotoscoping. everyone using AI to to animate and edit videos right now hits the same wall. the clip comes out 90% right and you regenerate from scratch hoping the 10% fixes itself. it never does. the fix is using your video as the input. omniflash edits what's already there instead of rolling the dice again. here's what's in the system: > the two-layer premiere trick: generate the same shot twice (one with background removed), stack them, cut at one frame, instant scene change > character swap with a single reference image (plus the one line you need or the model keeps the original's features) > object transforms that leave the rest of the frame untouched: stone into glowing sphere, candles into flowers > style transfer from an image reference instead of text, way more accurate > why stacking edits in one prompt breaks everything and the exact step order that doesn't > the audio limitation nobody mentions and how to work around it i packaged every prompt, the edit sequence, and the premiere layering setup. RT + reply "OMNI" and i'll send it over.

Sulfur

35,602 görüntüleme • 11 gün önce

Our Denver location is officially 1 year old! 🥳🎉 Win one of TEN $500 gift cards in celebration!💵 Tell us who you sent 🍪🍪🍪 to last & why in the comments below to be entered to win ⬇️ After you enter here, head to our other social accounts for more chances to win! 🎉We'll pick two winners per social channel. Two (2) winners will be selected at random and contacted via DM by 10/27. By entering you acknowledge that this giveaway is in no way sponsored, endorsed, administered by or associated with X, and you release X of all responsibility. #TiffsTreats #Giveaway

Our Denver location is officially 1 year old! 🥳🎉 Win one of TEN $500 gift cards in celebration!💵 Tell us who you sent 🍪🍪🍪 to last & why in the comments below to be entered to win ⬇️ After you enter here, head to our other social accounts for more chances to win! 🎉We'll pick two winners per social channel. Two (2) winners will be selected at random and contacted via DM by 10/27. By entering you acknowledge that this giveaway is in no way sponsored, endorsed, administered by or associated with X, and you release X of all responsibility. #TiffsTreats #Giveaway

Tiff's Treats

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Regular traders make +5% PnL on this market But coders print from +100% to +900% With NO RISK... Same market. Same conditions. Different approach. Here's how combining public data APIs with Polymarket turns $100 into THOUSANDS: First, let me explain the opportunity here. This "#1 free app in US App Store" market repeats every week. And almost every week ChatGPT wins the race. HOWEVER, random spikes occur from time to time. Last week proved it (check the attached post). You had a 3 hour window to buy ChatGPT shares with 75% discount. Now. How to turn random apps spikes into money? Easy. There are multiple public dApps that track Apps leaderboard. We'll use Appfigure API cause they update rankings every 1-2 minutes. Basically all you need is to connect the API to any notification system you want. I chose Telegram cause I use it quite often, but it can be anything. A simple bot will give you an edge so now every time some app overtakes ChatGPT, you'll know it FIRST. Before regular traders jump in. As soon as you get a notification, head to Polymarket and buy shares while they still sit at $0.01-$0.1 range. Market link: [ You're not predicting the winner. You're reacting faster than the market. In today’s reality, even a newbie can build such bot in a few hours. But if you need more detailed guide for the tech part, drop a reply here. Maybe I'll craft an article or something. Good luck!

Regular traders make +5% PnL on this market But coders print from +100% to +900% With NO RISK... Same market. Same conditions. Different approach. Here's how combining public data APIs with Polymarket turns $100 into THOUSANDS: First, let me explain the opportunity here. This "#1 free app in US App Store" market repeats every week. And almost every week ChatGPT wins the race. HOWEVER, random spikes occur from time to time. Last week proved it (check the attached post). You had a 3 hour window to buy ChatGPT shares with 75% discount. Now. How to turn random apps spikes into money? Easy. There are multiple public dApps that track Apps leaderboard. We'll use Appfigure API cause they update rankings every 1-2 minutes. Basically all you need is to connect the API to any notification system you want. I chose Telegram cause I use it quite often, but it can be anything. A simple bot will give you an edge so now every time some app overtakes ChatGPT, you'll know it FIRST. Before regular traders jump in. As soon as you get a notification, head to Polymarket and buy shares while they still sit at $0.01-$0.1 range. Market link: [ You're not predicting the winner. You're reacting faster than the market. In today’s reality, even a newbie can build such bot in a few hours. But if you need more detailed guide for the tech part, drop a reply here. Maybe I'll craft an article or something. Good luck!

Dexter's Lab

20,175 görüntüleme • 5 ay önce

IF I WAS FORCED to build a $20K/month AI creative agency using nothing but Photoshop, starting from 0, here's exactly what I would do in steps: The production setup (Days 1–3) 1. Download the Higgsfield plugin inside Photoshop — takes 5 minutes 2. You now have: sketch-to-image, layer decomposer, mockup studio, relight, upscale, face swap, character swap, background removal, AI stylist — all in 1 tool 3. Old creative agency workflow: designer + photographer + editor + 3–5 day turnaround 4. New workflow: 1 person, Photoshop, 30 minutes per deliverable The offer (Days 3–7) 5. Pick 1 niche — ecom brands, real estate agents, or course creators all need visuals constantly 6. Build a simple offer: "10 ad creatives delivered in 24 hours — $500" 7. Old agencies charge $2,000–$5,000/month for the same output 8. Your cost to deliver: $0 beyond the plugin. Pure margin. 9. Create 3 sample mockups using the tool — drop a product image in, generate 9 variations, pick the best 3 10. That's your portfolio. Built in under 1 hour. Cost: $0. The client machine (Days 7–20) 11. Go on X and search "[niche] + need a designer" or "[niche] + creatives" 12. DM 50 people per day — "I'll make you 3 free ad creatives in 24 hours, no catch" 13. Deliver them in 30 minutes using the plugin 14. 50 DMs/day × 14 days = 700 outreach messages 15. Conservative 3% conversion = 21 people see the free work 16. Close 5 of them at $500 = $2,500 in week 3 The scale (Days 20–30) 17. Upsell every client to a $1,500/month retainer — 10 creatives/week, unlimited revisions 18. 1 client per day in Photoshop takes 45 minutes max 19. 10 retainer clients × $1,500 = $15,000/month 20. Add 3 one-off clients at $500/month = $1,500 21. Add a $997 "AI creative system" course teaching other people this exact workflow = $3,000+/month from 3 sales The math: 50 DMs/day × 30 days = 1,500 outreach messages 3% book a call = 45 calls 40% close at $1,500/month retainer = 18 clients 18 × $1,500 = $27,000/month recurring Time per client per day: 45 minutes Total daily work: 4–5 hours Every mockup — AI. Every restyle — AI. Every layer rebuild — AI. Every variation — AI. No photographer. No designer and no reshoot. Start it here. 👇

IF I WAS FORCED to build a $20K/month AI creative agency using nothing but Photoshop, starting from 0, here's exactly what I would do in steps: The production setup (Days 1–3) 1. Download the Higgsfield plugin inside Photoshop — takes 5 minutes 2. You now have: sketch-to-image, layer decomposer, mockup studio, relight, upscale, face swap, character swap, background removal, AI stylist — all in 1 tool 3. Old creative agency workflow: designer + photographer + editor + 3–5 day turnaround 4. New workflow: 1 person, Photoshop, 30 minutes per deliverable The offer (Days 3–7) 5. Pick 1 niche — ecom brands, real estate agents, or course creators all need visuals constantly 6. Build a simple offer: "10 ad creatives delivered in 24 hours — $500" 7. Old agencies charge $2,000–$5,000/month for the same output 8. Your cost to deliver: $0 beyond the plugin. Pure margin. 9. Create 3 sample mockups using the tool — drop a product image in, generate 9 variations, pick the best 3 10. That's your portfolio. Built in under 1 hour. Cost: $0. The client machine (Days 7–20) 11. Go on X and search "[niche] + need a designer" or "[niche] + creatives" 12. DM 50 people per day — "I'll make you 3 free ad creatives in 24 hours, no catch" 13. Deliver them in 30 minutes using the plugin 14. 50 DMs/day × 14 days = 700 outreach messages 15. Conservative 3% conversion = 21 people see the free work 16. Close 5 of them at $500 = $2,500 in week 3 The scale (Days 20–30) 17. Upsell every client to a $1,500/month retainer — 10 creatives/week, unlimited revisions 18. 1 client per day in Photoshop takes 45 minutes max 19. 10 retainer clients × $1,500 = $15,000/month 20. Add 3 one-off clients at $500/month = $1,500 21. Add a $997 "AI creative system" course teaching other people this exact workflow = $3,000+/month from 3 sales The math: 50 DMs/day × 30 days = 1,500 outreach messages 3% book a call = 45 calls 40% close at $1,500/month retainer = 18 clients 18 × $1,500 = $27,000/month recurring Time per client per day: 45 minutes Total daily work: 4–5 hours Every mockup — AI. Every restyle — AI. Every layer rebuild — AI. Every variation — AI. No photographer. No designer and no reshoot. Start it here. 👇

ALEX SUZUKI

20,557 görüntüleme • 29 gün önce

Bot turned $100 to $6,973 on weather on Polymarket He did it only thanks to this simple strategy: He makes 5–10 predictions per day, with prices no higher than 10 cents And he always risks no more than $3 per bet examples of its wins: - $352 on will the highest temperature in NYC be between 46–47°F on December 17 at 0.5 cents - $148 on will the highest temperature in Seoul be 2°C on January 17 at 0.2 cents - $129 on will the highest temperature in NYC be between 40–41°F on January 17 at 0.4 cents His strategy literally lets him buy bets at very low prices with less than $2, and make +1000% from a single prediction profile: if you want alerts and to copy-trade his actions:

Paone

11,977 görüntüleme • 5 ay önce

it took us 3 weeks to get 500k+ views with a fully AI UGC on instagram and it taught me something huge if you create good content for long enough the algorithm is very simple it works to keep finding the type of user that engaged with your post similar to paid ads but this only works if you stay within niche and post consistently great content so stop seeing 1,000-4000 views as bad it’s simply taking the time to learn we’re being extremely aggressive with our marketing and created 40+ content variations each A/B testing a different part of the video - hook, music, transitions, wallpapers, workout, location, CTA, captions every single component is being tested we had a huge set back with Meta randomly banning 8 of our accounts last week we got the content ready and aim to post 20x per day minimum by 6/10 each day breaking down the data and creating more of what works then running it on paid ads both tiktok spark ads and meta ads marketing is definitely takes more time but at least shipping took just 2 weeks using Rork Max + Opus 4.7 at the time i launched, there was no other possible way to natively code in SwiftUI

it took us 3 weeks to get 500k+ views with a fully AI UGC on instagram and it taught me something huge if you create good content for long enough the algorithm is very simple it works to keep finding the type of user that engaged with your post similar to paid ads but this only works if you stay within niche and post consistently great content so stop seeing 1,000-4000 views as bad it’s simply taking the time to learn we’re being extremely aggressive with our marketing and created 40+ content variations each A/B testing a different part of the video - hook, music, transitions, wallpapers, workout, location, CTA, captions every single component is being tested we had a huge set back with Meta randomly banning 8 of our accounts last week we got the content ready and aim to post 20x per day minimum by 6/10 each day breaking down the data and creating more of what works then running it on paid ads both tiktok spark ads and meta ads marketing is definitely takes more time but at least shipping took just 2 weeks using Rork Max + Opus 4.7 at the time i launched, there was no other possible way to natively code in SwiftUI

Jah Mills

92,243 görüntüleme • 1 ay önce

Household Chores Motion-Based Reference Prompt for ChatGPT Image 2.0 / Seedance 2.0 on Yapper Prompt: Create a monochrome grayscale 4×4 instructional storyboard showing a full household chore sequence. Use a clean white background, soft studio lighting, and high contrast to emphasize posture, movement, and object interaction. The character must match the provided reference image in face, skin tone, proportions, and overall likeness, with natural makeup, a soft expression, and consistent identity across all 16 panels. The character should wear a modern modest outfit: a fitted crop top with a clean neckline, high-waisted straight or slightly wide-leg jeans, and optional minimal sneakers or barefoot indoor styling. Keep fabric movement natural with subtle folds and tension. Each panel must be the same size, separated by thin black lines, and clearly numbered 1 to 16. Show a full-body pose in each frame performing a different chore in a minimal environment with only essential props. No clutter, no complex background, no extra characters. Include in every panel: top-left step number and task title, center full-body action pose, bottom-left 3–4 short instruction lines, and motion arrows or guides showing movement flow. Use this chore sequence: Make the Bed, Tidy the Room, Dust Surfaces, Vacuum Floor, Sweep Floor, Mop Floor, Do Laundry, Hang Clothes, Fold Clothes, Clean Kitchen Counter, Wash Dishes, Take Out Trash, Water Plants, Clean Bathroom, Organize Shelves, Final Room Reset. Use motion indicators appropriately: curved arrows for wiping and folding, straight arrows for movement, and circular arrows for scrubbing and mopping. Style should be highly detailed 3D, smooth grayscale shading, soft shadows, clean linework, and polished concept-art quality. No color, no revealing clothing, no extra background detail, only the subject, props, and instructional elements.

Household Chores Motion-Based Reference Prompt for ChatGPT Image 2.0 / Seedance 2.0 on Yapper Prompt: Create a monochrome grayscale 4×4 instructional storyboard showing a full household chore sequence. Use a clean white background, soft studio lighting, and high contrast to emphasize posture, movement, and object interaction. The character must match the provided reference image in face, skin tone, proportions, and overall likeness, with natural makeup, a soft expression, and consistent identity across all 16 panels. The character should wear a modern modest outfit: a fitted crop top with a clean neckline, high-waisted straight or slightly wide-leg jeans, and optional minimal sneakers or barefoot indoor styling. Keep fabric movement natural with subtle folds and tension. Each panel must be the same size, separated by thin black lines, and clearly numbered 1 to 16. Show a full-body pose in each frame performing a different chore in a minimal environment with only essential props. No clutter, no complex background, no extra characters. Include in every panel: top-left step number and task title, center full-body action pose, bottom-left 3–4 short instruction lines, and motion arrows or guides showing movement flow. Use this chore sequence: Make the Bed, Tidy the Room, Dust Surfaces, Vacuum Floor, Sweep Floor, Mop Floor, Do Laundry, Hang Clothes, Fold Clothes, Clean Kitchen Counter, Wash Dishes, Take Out Trash, Water Plants, Clean Bathroom, Organize Shelves, Final Room Reset. Use motion indicators appropriately: curved arrows for wiping and folding, straight arrows for movement, and circular arrows for scrubbing and mopping. Style should be highly detailed 3D, smooth grayscale shading, soft shadows, clean linework, and polished concept-art quality. No color, no revealing clothing, no extra background detail, only the subject, props, and instructional elements.

WasifAI

18,752 görüntüleme • 2 ay önce

Gemini Omni's motion control is f*cking cracked i just figured out how to turn 1 reference video into 50+ AI videos with the exact same movements... you have a video of someone eating, dancing, using a product, doing whatever complex motion you need. you feed it to Gemini Omni and it recreates that exact motion with a completely new AI character in literally one prompt i've tested this against Kling motion control and it's not even close. Kling falls apart the moment you try anything complex. eating scenes look weird, hand movements get mangled, anything multi-step breaks down completely. Gemini Omni handles all of it if you're still using kling motion control or paying creators to split test your videos, this replaces that entire workflow here's the thing though. you can't just prompt this out of the box. if you try to do motion transfer with default prompting you're going to get errors or the motion won't transfer properly. there's a specific prompting method that makes it work every time so i packaged up the whole system.. here's what you're getting: > full step by step video breakdown > how to find the best reference videos to use > the exact prompting system that allows for motion control transfer so you never get errors > the workflow for batching this out at scale (1 video → 50+) RT + reply "MOTION" and i'll send it over (must follow so i can dm)

Gemini Omni's motion control is f*cking cracked i just figured out how to turn 1 reference video into 50+ AI videos with the exact same movements... you have a video of someone eating, dancing, using a product, doing whatever complex motion you need. you feed it to Gemini Omni and it recreates that exact motion with a completely new AI character in literally one prompt i've tested this against Kling motion control and it's not even close. Kling falls apart the moment you try anything complex. eating scenes look weird, hand movements get mangled, anything multi-step breaks down completely. Gemini Omni handles all of it if you're still using kling motion control or paying creators to split test your videos, this replaces that entire workflow here's the thing though. you can't just prompt this out of the box. if you try to do motion transfer with default prompting you're going to get errors or the motion won't transfer properly. there's a specific prompting method that makes it work every time so i packaged up the whole system.. here's what you're getting: > full step by step video breakdown > how to find the best reference videos to use > the exact prompting system that allows for motion control transfer so you never get errors > the workflow for batching this out at scale (1 video → 50+) RT + reply "MOTION" and i'll send it over (must follow so i can dm)

Miko

38,908 görüntüleme • 2 gün önce

One tunnel. Five looks. Zero cuts. Created using Seedance 2.0 on BudgetPixel AI Exploring seamless fashion transformations with AI motion and cinematic storytelling. Built around Argentina-inspired styling, realistic fabric physics, and natural movement transitions inside a stadium tunnel. Prompt: Use uploaded character image for exact facial features, eyes, skin tone, and identity only. Do not copy the hairstyle from the reference image. Create a new layered haircut with natural volume, movement, and fashion-editorial styling. Maintain the same character throughout. STYLE: Photorealistic fashion film, 4K UHD, Arri Alexa 35, 16:9 horizontal, modern stadium tunnel with concrete walls, overhead linear lights, polished reflective floor, bright daylight at tunnel exit. CONCEPT: Character walks confidently toward camera through the stadium tunnel while transforming through 5 Argentina-inspired AFA looks. Each outfit change is triggered by a natural body movement and appears through a fast directional motion blur with a clean physical snap. No digital effects, glitches, smoke, or particles. LOOK 1: Argentina home jersey, sky blue and white stripes, tucked into white wide-leg trousers, layered gold jewelry. LOOK 2: Argentina away crop jersey over sky blue bralette, white cargo trousers, white trainers. LOOK 3: Oversized sky blue AFA track jacket, white bodysuit, slim white jeans. LOOK 4: Sky blue satin blazer with gold AFA pin, white wide-leg trousers, white strappy heels. LOOK 5: Argentina jersey dress with gold chain belt, white ankle boots, statement gold jewelry. SEQUENCE: Beat 1: Character enters tunnel in simple white outfit, walking toward camera. Beat 2: Hand raise triggers Look 1 transformation. Beat 3: Downward glance triggers Look 2 transformation. Beat 4: Shoulder roll triggers Look 3 transformation. Beat 5: Long stride triggers Look 4 transformation. Beat 6: Arms open triggers Look 5 transformation. Beat 7: Character slows, touches jersey fabric naturally. Beat 8: Looks into camera, gently pulls collar, subtle nod and soft smile. Hold, then cut to black. CAMERA: Continuous backward tracking shot, character centered. Tunnel gradually softens into shallow depth of field. Face remains sharp throughout. Progressive dolly-in during final moments. AVOID: Face distortion, extra fingers, warped hands, logo deformation, outfit flicker, floating limbs, cartoon appearance, text overlays, subtitles, watermarks.

Jessica Collins

31,034 görüntüleme • 20 gün önce

This is literally genius🤯 4.9 million views with this format And nobody even knows its a clanker they copied a viral format in the fashion space Easily automated it, this account alone could make $40,000/mo+ if they tie it to a fashion app And add a strong CTA anybody can replicate an AI account like this in 6 simple steps 1. Connect higgsfield MCP 2. Have nano banana create the base character 3. Have claude come up with a fashion line ( like Anime characters clothings ) 4. Have the higgs mcp generate 10 outfit variations images for claudes idea. 5. Generate all the clips using seedance 2.0 from the start image of each outfit and the same base prompt for walking. 6. add a CTA somewhere in there to your fashion app congratulations you automated a fashion app to $40k/mo

This is literally genius🤯 4.9 million views with this format And nobody even knows its a clanker they copied a viral format in the fashion space Easily automated it, this account alone could make $40,000/mo+ if they tie it to a fashion app And add a strong CTA anybody can replicate an AI account like this in 6 simple steps 1. Connect higgsfield MCP 2. Have nano banana create the base character 3. Have claude come up with a fashion line ( like Anime characters clothings ) 4. Have the higgs mcp generate 10 outfit variations images for claudes idea. 5. Generate all the clips using seedance 2.0 from the start image of each outfit and the same base prompt for walking. 6. add a CTA somewhere in there to your fashion app congratulations you automated a fashion app to $40k/mo

Ernesto Lopez

100,375 görüntüleme • 1 ay önce

🧵✨ Kontext Thread Challenge 🧵✨ This month, we’re planning a special challenge with TZ APAC! We want to see how far you can take Flux.1 Kontext for transformations. Not just character consistency, but style, mood, and/or story evolution and make a thread about your creative process! Mission: Pick 1 base character or portrait → use Kontext to transform it across 4 different vibes. Some examples: 🔸Normal → Cyberpunk → Fantasy Armor → Pixar-style 🔸Morning → Golden Hour → Neon Night → Black-and-white Film Noir 🔸Casual Outfit → Royal Costume → Spacesuit → Streetwear 🔸Or add/remove things from your initial pictures that give 4 different results Here’s how to enter: 1️⃣ Start your thread with your base/reference image. 2️⃣ Post each new render as a reply. 3️⃣ Explain your steps (prompt choices, edits, tweaks). 4️⃣ Finish with a collage/carousel of all 4 images together. To qualify, make sure to: ✅ Use to create ✅ Use only Flux.1 Kontext ✅ Add your prompt settings in each post ✅ Include the mention "Flux.1 Kontext on Sogni" in your first tweet ✅ Mention your Sogni username ✅Tag Sogni.ai, TZ APAC & Tezos on your pictures 🏆 Prizes 5 winners will share: ✨ 25,000 Premium Sparks ✨ $500 in SOGNI tokens ✨ $500 in tez (XTZ) ℹ️ Winning threads may also be featured across Sogni platforms (with full credit to you). 📅Deadline: Oct 3 (1PM UTC)

🧵✨ Kontext Thread Challenge 🧵✨ This month, we’re planning a special challenge with TZ APAC! We want to see how far you can take Flux.1 Kontext for transformations. Not just character consistency, but style, mood, and/or story evolution and make a thread about your creative process! Mission: Pick 1 base character or portrait → use Kontext to transform it across 4 different vibes. Some examples: 🔸Normal → Cyberpunk → Fantasy Armor → Pixar-style 🔸Morning → Golden Hour → Neon Night → Black-and-white Film Noir 🔸Casual Outfit → Royal Costume → Spacesuit → Streetwear 🔸Or add/remove things from your initial pictures that give 4 different results Here’s how to enter: 1️⃣ Start your thread with your base/reference image. 2️⃣ Post each new render as a reply. 3️⃣ Explain your steps (prompt choices, edits, tweaks). 4️⃣ Finish with a collage/carousel of all 4 images together. To qualify, make sure to: ✅ Use to create ✅ Use only Flux.1 Kontext ✅ Add your prompt settings in each post ✅ Include the mention "Flux.1 Kontext on Sogni" in your first tweet ✅ Mention your Sogni username ✅Tag Sogni.ai, TZ APAC & Tezos on your pictures 🏆 Prizes 5 winners will share: ✨ 25,000 Premium Sparks ✨ $500 in SOGNI tokens ✨ $500 in tez (XTZ) ℹ️ Winning threads may also be featured across Sogni platforms (with full credit to you). 📅Deadline: Oct 3 (1PM UTC)

Sogni.ai

13,639 görüntüleme • 10 ay önce

What if workouts were generated like this? Built a dumbbell routine as a motion sheet with GPT Image 2 Then turned it into a video with Seedance 2.0 I tested 4 exercises in 15s, it works, but 2–3 exercises would probably give the best output. Motion sheet: Monochrome grayscale technical illustration, biomechanically accurate fitness instruction sheet, clean 3D anatomical character, scientific diagram aesthetic, minimalistic, no artistic exaggeration 2x4 grid layout (8 panels total), perfectly aligned cells, equal spacing, thin black borders, numbered from 1 to 8 Neutral athletic human body (gender-neutral), proportional anatomy, consistent character across all panels Dumbbell workout sequence (key positions only): 1. Dumbbell curl (start position) 2. Dumbbell curl (top contraction) 3. Shoulder press (start at shoulder level) 4. Shoulder press (overhead lockout) 5. Dumbbell lateral raise (arms down) 6. Lateral raise (arms at shoulder height) 7. Dumbbell squat (standing start) 8. Squat (bottom position) Top-left: bold number + exercise name (English) Center: full-body pose (clear joint positions) Bottom-left: short technical explanation (2–3 lines, correct form cues) Overlay: directional arrows showing movement path (up/down/arc) Correct joint alignment, neutral spine, proper elbow and knee positioning, realistic weight distribution, no exaggerated motion Highly detailed grayscale shading, soft studio lighting, subtle shadows, clean linework, medical / sports science diagram quality Pure white background No colors, no background environment, no extra elements, no stylization, no blur

What if workouts were generated like this? Built a dumbbell routine as a motion sheet with GPT Image 2 Then turned it into a video with Seedance 2.0 I tested 4 exercises in 15s, it works, but 2–3 exercises would probably give the best output. Motion sheet: Monochrome grayscale technical illustration, biomechanically accurate fitness instruction sheet, clean 3D anatomical character, scientific diagram aesthetic, minimalistic, no artistic exaggeration 2x4 grid layout (8 panels total), perfectly aligned cells, equal spacing, thin black borders, numbered from 1 to 8 Neutral athletic human body (gender-neutral), proportional anatomy, consistent character across all panels Dumbbell workout sequence (key positions only): 1. Dumbbell curl (start position) 2. Dumbbell curl (top contraction) 3. Shoulder press (start at shoulder level) 4. Shoulder press (overhead lockout) 5. Dumbbell lateral raise (arms down) 6. Lateral raise (arms at shoulder height) 7. Dumbbell squat (standing start) 8. Squat (bottom position) Top-left: bold number + exercise name (English) Center: full-body pose (clear joint positions) Bottom-left: short technical explanation (2–3 lines, correct form cues) Overlay: directional arrows showing movement path (up/down/arc) Correct joint alignment, neutral spine, proper elbow and knee positioning, realistic weight distribution, no exaggerated motion Highly detailed grayscale shading, soft studio lighting, subtle shadows, clean linework, medical / sports science diagram quality Pure white background No colors, no background environment, no extra elements, no stylization, no blur

Ege

97,388 görüntüleme • 2 ay önce