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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

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13,576 views • 2 months ago •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.

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.

K

13,813 views • 4 months ago

Limited-time Live2D commission open ✨ I really want to play Pokopia… so I’m opening a small slot to earn some funds 🥺🙏 🔹 Slots: 1–2 only 🔹 Starting price: $320 USD (PayPal, fee not included) Includes: • Full body model • 3 expressions + 1 simple hand toggle Notes: • Price may increase depending on complexity • Full payment is required upfront • PSD preview available for price estimation before confirmation • Work will start between July–August Feel free to DM if interested 💬 RTs are greatly appreciated 🫶 #Live2D #Live2Dcommission #Vtuber

Limited-time Live2D commission open ✨ I really want to play Pokopia… so I’m opening a small slot to earn some funds 🥺🙏 🔹 Slots: 1–2 only 🔹 Starting price: $320 USD (PayPal, fee not included) Includes: • Full body model • 3 expressions + 1 simple hand toggle Notes: • Price may increase depending on complexity • Full payment is required upfront • PSD preview available for price estimation before confirmation • Work will start between July–August Feel free to DM if interested 💬 RTs are greatly appreciated 🫶 #Live2D #Live2Dcommission #Vtuber

ポテチ🥔VGEN CMS OPEN

24,572 views • 5 months ago

🎉 VTuber Model Raffle! 🎉 I'm hosting a RAFFLE to win 1 FREE Live2D VTuber Model (Art Only)! 💖 ✨ Prize Includes: - Full Body Live2D VTuber Model (Art Only) - Full Body Rigging *(T&Cs) 📝 How to Enter: - Follow, Like, and Repost (No QRT)! - Comment with ur PNG character~ ⚠️ Important Note! The raffle will only proceed if this post reaches at least 50 reposts. If not, the raffle will be canceled. So don't forget to invite your friends too! 📢 Winner will be announced on May, 5 Good luck and I hope you win! ✨ #VGen #artraffle #Vtuber #Live2D

🎉 VTuber Model Raffle! 🎉 I'm hosting a RAFFLE to win 1 FREE Live2D VTuber Model (Art Only)! 💖 ✨ Prize Includes: - Full Body Live2D VTuber Model (Art Only) - Full Body Rigging *(T&Cs) 📝 How to Enter: - Follow, Like, and Repost (No QRT)! - Comment with ur PNG character~ ⚠️ Important Note! The raffle will only proceed if this post reaches at least 50 reposts. If not, the raffle will be canceled. So don't forget to invite your friends too! 📢 Winner will be announced on May, 5 Good luck and I hope you win! ✨ #VGen #artraffle #Vtuber #Live2D

Zanshin Studio | Art & Live2D

53,609 views • 1 year ago

🎁Giveaway time🎁 Two weeks after the massive airdrop, the collection continues to be picked up on secondary — and the floor is now above mint price. Listings remain at just 3%. Grateful to be supported by true collectors. Feels like the right time to launch the first giveaway💥 I'm giving away this POLYLITH with a special trait — only 2 in existence. To enter: - RT, reply with your Taproot address, and tag a friend who shares your belief in Art on Bitcoin. Good luck! ...By the way, while there are only 2 for now, anyone can update their POLYLITH to include this trait.

🎁Giveaway time🎁 Two weeks after the massive airdrop, the collection continues to be picked up on secondary — and the floor is now above mint price. Listings remain at just 3%. Grateful to be supported by true collectors. Feels like the right time to launch the first giveaway💥 I'm giving away this POLYLITH with a special trait — only 2 in existence. To enter: - RT, reply with your Taproot address, and tag a friend who shares your belief in Art on Bitcoin. Good luck! ...By the way, while there are only 2 for now, anyone can update their POLYLITH to include this trait.

OTO 👀

11,069 views • 1 year ago

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

Nexlow

85,546 views • 1 month ago

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

13,915 views • 4 months ago

The Play-to-Airdrop campaign is airdropping MILLIONS $$$ and is starting in 2 weeks 💰 Introducing the INSANELY ambitious game @aiarena_ and how they are airdropping 8% of their $NRN token supply for their upcoming competition. Here's how to get your airdrop 👇 1. Play the upcoming @aiarena_ competition and win games (4%) 2. Refer people to @aiarena_ for the launch (4%) Pretty simple! Now where this gets fun is the game dynamics. @aiarena_ is a new genre AI game, that is similar to super smash but the twist is you train your character using AI 🤯and your AI will battle your character versus other AIs The skill aspect is being able to train your character using the AI the best. (check out the video for INSANE AI action, trained by apix🎮) @aiarena_ are also no strangers to success with their NFT floor prices at 3.25 ETH!!! The last thing is you will have to join 1 of 8 teams for the competition. You can sign up to any team you want, but only 1 team is announced so far. I will be playing & bringing BullRunBaron to a team unannounced as of now so lets connect if you are interested in teaming up for this new game format! NOTE: I am estimating millions of airdrop, but this is subject to the market fluctuations as $NRN token is still unreleased

The Play-to-Airdrop campaign is airdropping MILLIONS $$$ and is starting in 2 weeks 💰 Introducing the INSANELY ambitious game @aiarena_ and how they are airdropping 8% of their $NRN token supply for their upcoming competition. Here's how to get your airdrop 👇 1. Play the upcoming @aiarena_ competition and win games (4%) 2. Refer people to @aiarena_ for the launch (4%) Pretty simple! Now where this gets fun is the game dynamics. @aiarena_ is a new genre AI game, that is similar to super smash but the twist is you train your character using AI 🤯and your AI will battle your character versus other AIs The skill aspect is being able to train your character using the AI the best. (check out the video for INSANE AI action, trained by apix🎮) @aiarena_ are also no strangers to success with their NFT floor prices at 3.25 ETH!!! The last thing is you will have to join 1 of 8 teams for the competition. You can sign up to any team you want, but only 1 team is announced so far. I will be playing & bringing BullRunBaron to a team unannounced as of now so lets connect if you are interested in teaming up for this new game format! NOTE: I am estimating millions of airdrop, but this is subject to the market fluctuations as $NRN token is still unreleased

pangboy.hl

16,219 views • 2 years ago

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

36,552 views • 1 month ago

A day in my life. Made with Seedance 2.0 on TopviewAI Prompt: Photorealistic behind-the-scenes smartphone vlog footage of a crypto/web3 enthusiast and AI content creator. Faux vertical smartphone footage naturally cropped into 16:9. Authentic handheld phone aesthetic. No cinematic color grading, no HDR, no beauty filters. Feels like genuine casual vlog footage. Character: A white stylized 3D mascot-like character (exactly like the reference image >> ) with a smooth white body, black sunglasses, and a distinctive white mohawk/crest on its head. The character has a simple, expressive face and moves in a slightly exaggerated but natural way. Maintain the exact same design, proportions, and identity from the reference image in every scene. Setting: A simple, slightly messy small apartment. Clothes on the chair, multiple monitors and gadgets on the desk, empty coffee cups, snack wrappers, tangled cables, and crypto-themed posters on the wall. Natural and lived-in feeling. Lighting: Starts with soft morning light coming through the window, gradually transitions into warm afternoon and evening indoor lighting. Natural smartphone exposure changes. Camera: Simulated smartphone footage with gentle handheld movement, natural walking, subtle autofocus breathing, occasional imperfect framing, and realistic phone compression. Feels like a friend casually filming. Style & Mood: Casual, relatable, and a bit funny. The character has the personality of a chill but passionate crypto and AI content creator — sometimes excited, sometimes chaotic, but always sincere. Scene Sequence: CUT 1 — Waking Up Morning. The character slowly wakes up in bed, still wearing sunglasses. It sits up, looks around the messy room, then dramatically falls back onto the pillow for a few seconds before forcing itself to get up. It stretches lazily. CUT 2 — Morning Coffee & Checking Charts The character walks to the kitchen (still in pajamas or oversized shirt), makes coffee, then sits in front of multiple monitors. It excitedly checks crypto charts and AI tools while talking to itself. It suddenly reacts to a big green candle. CUT 3 — Content Creation Chaos The character is at the desk trying to create content. It’s switching between different AI tools, recording voiceovers, and getting slightly overwhelmed with too many tabs open. It accidentally knocks over a cup while celebrating a good prompt. CUT 4 — Midday Break The character takes a break, eats instant noodles while scrolling through Twitter/X and Discord on its phone. It laughs at a meme, then suddenly gets an idea and rushes back to the computer. CUT 5 — Evening Work Session Late afternoon turning into evening. The room is messier now. The character is deeply focused on editing a video using multiple AI tools. It talks to the camera while working, explaining what it’s doing in a casual way. CUT 6 — Late Night Wind Down Night time. The character is tired but satisfied. It cleans up a bit (half-heartedly), sits on the couch with a drink, and quietly scrolls through its phone while reflecting on the day. It looks at the camera and gives a small, tired but happy wave. CUT 7 — Sleeping The character turns off the lights, lies down on the bed (still wearing sunglasses), and mumbles something before falling asleep. Audio: Natural room ambience only. Keyboard typing, mouse clicks, coffee machine, instant noodles being eaten, phone notifications, occasional sighs or small laughs, aircon or fan humming. No background music. Overall Vibe: Funny, relatable, and chill. Feels like a genuine day-in-the-life vlog of a crypto/AI content creator who’s passionate but also a little messy and human (or in this case, mascot-like).

A day in my life. Made with Seedance 2.0 on TopviewAI Prompt: Photorealistic behind-the-scenes smartphone vlog footage of a crypto/web3 enthusiast and AI content creator. Faux vertical smartphone footage naturally cropped into 16:9. Authentic handheld phone aesthetic. No cinematic color grading, no HDR, no beauty filters. Feels like genuine casual vlog footage. Character: A white stylized 3D mascot-like character (exactly like the reference image >> ) with a smooth white body, black sunglasses, and a distinctive white mohawk/crest on its head. The character has a simple, expressive face and moves in a slightly exaggerated but natural way. Maintain the exact same design, proportions, and identity from the reference image in every scene. Setting: A simple, slightly messy small apartment. Clothes on the chair, multiple monitors and gadgets on the desk, empty coffee cups, snack wrappers, tangled cables, and crypto-themed posters on the wall. Natural and lived-in feeling. Lighting: Starts with soft morning light coming through the window, gradually transitions into warm afternoon and evening indoor lighting. Natural smartphone exposure changes. Camera: Simulated smartphone footage with gentle handheld movement, natural walking, subtle autofocus breathing, occasional imperfect framing, and realistic phone compression. Feels like a friend casually filming. Style & Mood: Casual, relatable, and a bit funny. The character has the personality of a chill but passionate crypto and AI content creator — sometimes excited, sometimes chaotic, but always sincere. Scene Sequence: CUT 1 — Waking Up Morning. The character slowly wakes up in bed, still wearing sunglasses. It sits up, looks around the messy room, then dramatically falls back onto the pillow for a few seconds before forcing itself to get up. It stretches lazily. CUT 2 — Morning Coffee & Checking Charts The character walks to the kitchen (still in pajamas or oversized shirt), makes coffee, then sits in front of multiple monitors. It excitedly checks crypto charts and AI tools while talking to itself. It suddenly reacts to a big green candle. CUT 3 — Content Creation Chaos The character is at the desk trying to create content. It’s switching between different AI tools, recording voiceovers, and getting slightly overwhelmed with too many tabs open. It accidentally knocks over a cup while celebrating a good prompt. CUT 4 — Midday Break The character takes a break, eats instant noodles while scrolling through Twitter/X and Discord on its phone. It laughs at a meme, then suddenly gets an idea and rushes back to the computer. CUT 5 — Evening Work Session Late afternoon turning into evening. The room is messier now. The character is deeply focused on editing a video using multiple AI tools. It talks to the camera while working, explaining what it’s doing in a casual way. CUT 6 — Late Night Wind Down Night time. The character is tired but satisfied. It cleans up a bit (half-heartedly), sits on the couch with a drink, and quietly scrolls through its phone while reflecting on the day. It looks at the camera and gives a small, tired but happy wave. CUT 7 — Sleeping The character turns off the lights, lies down on the bed (still wearing sunglasses), and mumbles something before falling asleep. Audio: Natural room ambience only. Keyboard typing, mouse clicks, coffee machine, instant noodles being eaten, phone notifications, occasional sighs or small laughs, aircon or fan humming. No background music. Overall Vibe: Funny, relatable, and chill. Feels like a genuine day-in-the-life vlog of a crypto/AI content creator who’s passionate but also a little messy and human (or in this case, mascot-like).

MrDejie

40,711 views • 1 month ago

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

15,834 views • 2 years ago

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 views • 7 months ago

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 views • 2 months ago

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

12,036 views • 6 months ago

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 views • 2 months ago

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 views • 3 months ago

🎉 3x $50k GIVEAWAY🎉 🚨 Big updates are coming to Alpha Capital Group🚨 use code "DION50" for 50% OFF all Alpha Cap products To celebrate these updates, I’m giving away 3 × $50,000 accounts. 🎉 If you’ve been waiting for the right time to start your funded trading journey, this is it. Here’s what’s rolling out over the coming weeks: ✅ Up to 61% off selected plans ✅ Alpha Direct – No Evaluation Accounts ✅ Up to 90% Performance Split add-on options ✅ Crypto payouts ✅ Swap-free accounts ✅ Removal of Risk Groups How to enter: 1. Follow DionTrades ✪ & Alpha Capital Group 2. Like and Repost 3. Comment ALPHA Three winners will be selected at random. Winners will be picked on Tuesday July 28, good luck! 🚀 PS. Pro tip: want to double your chances of winning? I am running this giveaway on Instagram too, so if you want double the chance, go to the pinned post on my Instagram: @ diontrades ✅ I will DM you when your entry is succesfully submitted (must be following so I can DM you)

🎉 3x $50k GIVEAWAY🎉 🚨 Big updates are coming to Alpha Capital Group🚨 use code "DION50" for 50% OFF all Alpha Cap products To celebrate these updates, I’m giving away 3 × $50,000 accounts. 🎉 If you’ve been waiting for the right time to start your funded trading journey, this is it. Here’s what’s rolling out over the coming weeks: ✅ Up to 61% off selected plans ✅ Alpha Direct – No Evaluation Accounts ✅ Up to 90% Performance Split add-on options ✅ Crypto payouts ✅ Swap-free accounts ✅ Removal of Risk Groups How to enter: 1. Follow DionTrades ✪ & Alpha Capital Group 2. Like and Repost 3. Comment ALPHA Three winners will be selected at random. Winners will be picked on Tuesday July 28, good luck! 🚀 PS. Pro tip: want to double your chances of winning? I am running this giveaway on Instagram too, so if you want double the chance, go to the pinned post on my Instagram: @ diontrades ✅ I will DM you when your entry is succesfully submitted (must be following so I can DM you)

DionTrades ✪

14,827 views • 1 month ago

Gym Vlog .Let’s Get This Workout Started A Quick Look Into My Gym Routine Made with seedance 2.0 Prompt: 15-Second Gym Vlog — Continuous Dialogue Character: The same young adult woman throughout the entire video, wearing a black T-shirt and sporty gym pants. Keep her face, hairstyle, outfit, and appearance consistent from beginning to end. Scene: A realistic modern gym vlog. From the very first frame, the woman is already talking directly to the camera while walking through the gym. She keeps speaking continuously throughout the entire 15-second video—no silent moments and no voice-over. 0–5 sec: She walks toward the camera in selfie-vlog style, smiling naturally and talking directly to the viewer. Gym equipment and people working out are visible in the background. Dialogue: "Hey guys! I'm at the gym today, and I'm going to show you a little bit of my workout." 5–10 sec: While continuing to talk, she reaches the dumbbell area, picks up a moderate-sized dumbbell with one hand, briefly lifts it in a natural demonstration, and keeps speaking to the camera. Dialogue: "I usually start with some simple exercises like this, just to get warmed up." 10–15 sec: Still holding the dumbbell briefly, she looks at the camera and continues talking with a friendly smile, then places it back naturally. Dialogue: "Alright, let's get started and make this workout a good one!" Important: Continuous talking from start to finish, natural lip-sync matching every word, no narration, no sudden cuts, no change of character or clothing. The same reference character must remain consistent throughout. Realistic gym environment, natural body movement, handheld smartphone vlog style, cinematic 4K quality.

Gym Vlog .Let’s Get This Workout Started A Quick Look Into My Gym Routine Made with seedance 2.0 Prompt: 15-Second Gym Vlog — Continuous Dialogue Character: The same young adult woman throughout the entire video, wearing a black T-shirt and sporty gym pants. Keep her face, hairstyle, outfit, and appearance consistent from beginning to end. Scene: A realistic modern gym vlog. From the very first frame, the woman is already talking directly to the camera while walking through the gym. She keeps speaking continuously throughout the entire 15-second video—no silent moments and no voice-over. 0–5 sec: She walks toward the camera in selfie-vlog style, smiling naturally and talking directly to the viewer. Gym equipment and people working out are visible in the background. Dialogue: "Hey guys! I'm at the gym today, and I'm going to show you a little bit of my workout." 5–10 sec: While continuing to talk, she reaches the dumbbell area, picks up a moderate-sized dumbbell with one hand, briefly lifts it in a natural demonstration, and keeps speaking to the camera. Dialogue: "I usually start with some simple exercises like this, just to get warmed up." 10–15 sec: Still holding the dumbbell briefly, she looks at the camera and continues talking with a friendly smile, then places it back naturally. Dialogue: "Alright, let's get started and make this workout a good one!" Important: Continuous talking from start to finish, natural lip-sync matching every word, no narration, no sudden cuts, no change of character or clothing. The same reference character must remain consistent throughout. Realistic gym environment, natural body movement, handheld smartphone vlog style, cinematic 4K quality.

Noor

12,345 views • 12 days ago

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

60,355 views • 1 month ago