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while everyone was busy making bizarre AI characters, this creator found a MUCH bigger angle. he made poor person look filthy RICH. 😭 and this guy looks 100% real, crazy part is that - he grew this account to 280K+ followers in just 2 days posting multiple times a... day. these videos are EXPLODING right now because they immediately catch the attention. and these videos are soo simple to make. here is the step by step workflow: STEP 1: find an interesting character reference on Pinterest and use it as inspiration to create your own original character. then attach the reference to ChatGPT and ask: "create a realistic character sheet for an original character inspired by this reference. use 3 panels against a clean studio background: full-body front view with no head visible, full-body back view with the head visible, and a close-up shot of the face." STEP 2: find a viral luxury or rich lifestyle video, then swap your character into it with Higgsfield Genjutsu. use this prompt: "replace the person in @ video1 with the character from @ image1. keep the same motion, camera movement, lighting, framing, color grading, environment, and overall video quality." this prompt makes it look 100% real. DONE. this is it.show more

ViralOps

11,555 subscribers

535,562 次观看 • 3 天前 •via X (Twitter)

艺术教育科学技术

Anya Rossi• Live Now

Private livecam show

14 条评论

Hussain Hashim | Building SundayBack 的头像

Hussain Hashim | Building SundayBack3 天前

@ViralOps_ reminds me how sometimes the simplest, raw concepts click best. The key: consistency in posting, but also realness.

Détente 的头像

Détente3 天前

2026 is really about extracting mass values from the lowest IQ part of the pop

Rhaen Vox 的头像

Rhaen Vox3 天前

The clever part is that luxury is just the costume. the real hook is the mismatch between who the character looks like and the life he’s suddenly living. How long before this format gets so common that “rich” stops being the surprise?:))

Önder 的头像

Önder3 天前

nice but what about consistency? he needs to find same viral videos over and over?

ViralOps 的头像

ViralOps3 天前

there are so many. not difficult at all.

Funds 的头像

Funds3 天前

Kanye

KingMusa〽️🔱💰💎✈️ 的头像

KingMusa〽️🔱💰💎✈️3 天前

@grok is this real

Space Power 🔮 的头像

Space Power 🔮3 天前

It's very strange that your robot allows this. This violates the Law of Identity.

Endrew Cruz 的头像

Endrew Cruz3 天前

thinking outside the box is sometimes crazy

Jaybo 的头像

Jaybo3 天前

I knew that shit was AI

Retarded specialist 的头像

Retarded specialist3 天前

He will not get monetized and might be copyright strike. cause he downloaded video of some russian influencer and ask ai to remplace the influencer by black man🤣

Kyle Quixotic 的头像

Kyle Quixotic3 天前

Another fake AI garbage

Kurrupted 的头像

Kurrupted3 天前

Yea but it’s not this easy. They have bigger channel in their back pockets who are posting for them on other pages. Not everyone’s gonna be able to replicate this success. It’s manufactured

Dimss | Crypto × AI 的头像

Dimss | Crypto × AI3 天前

The era has arrived where you find yourself trying to figure out whether it’s an AI or a real person.😩

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ComfyUI

19,626 次观看 • 13 天前

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Ronin

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166,915 次观看 • 5 个月前

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35,774 次观看 • 6 个月前

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Create stunning cinematic videos using Kling 3.0 Omni, character sheets and multi-shot prompts. Here's how ... Kling 3.0 Omni can take up to 7 reference images. Working with a character sheet and passing it to Kling along with the environment and multishot prompts, allows you to quickly put cinematic videos together. Example prompt: cinematic. action movie. VFX. shot 1: close up of the hooded character. It's night. his eyes glow. he hears wolves in the distance and looks around and starts running. shot 2: full body shot of the character running. he looks over his shoulders. shot 3: we see a wolf running through the forest. it's hungry. shot 4:the character is stopped by a pack of wolves. shot 5: he fights the wolves with his stick. Link to Spaces below

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Martin LeBlanc

21,474 次观看 • 7 个月前

steal my full workflow to create ultra-realistic AI videos with GPT-6 Astra... higgsfield just released their API, so i took it into real conditions i generated a vlog-style video set in Paris... it looks like raw footage a friend shot on a phone here's the workflow, step by step: > step 1: steal the structure, not the pixels i captured 3-5 scenes from a hotels and river views, then pulled character inspiration from pinterest and real vlogs > step 2: analyze the reference with Gemini i sent Gemini everything i'd collected... videos, audio, keyframes and it gave me a shot-by-shot breakdown, i turned that into instructions > step 3: swap the world, keep the bones i changed a lot on the character and the environment until it felt like something of my own, not a copy > step 4: build reference images first, this is where you iterate images are cheap, video is expensive so i built a character sheet, one image per location in the same mood, then the exact start frame the video opens on, all Nano Banana Pro > step 5: one 30-second video run, not ten 3-second clips the full timestamped script goes to Seedance 2.5 through the API as ONE generation start frame as the anchor, one action per beat, camera and audio described concretely, identity locks at the end so her face, outfit and makeup is locked in Seedance handles the cuts internally > step 6: revise like a director, not a gambler the first cut came back good but not right instead of re-rolling the whole 30 seconds i regenerated only the scenes that needed changes as short clips from their own start frames, then cut them into the master with ffmpeg change one variable at a time, never re-roll what already works > step 7: finish like normal footage i assembled the final cut with ffmpeg from the best takes, added ambient music from a free library and done the rules that made it work: - the reference's structure is the asset, prompt archaeology beats prompt writing - iterate on images, commit on video, the start frame decides 80% of the shot - one action per timestamped beat, crowded beats get skipped or invented - lock identity explicitly or it drifts between cuts - fix failed shots by changing one variable, redo scenes, never the whole video - the last 10% is boring editing: trim, splice, music, encode (save this workflow)

steal my full workflow to create ultra-realistic AI videos with GPT-6 Astra... higgsfield just released their API, so i took it into real conditions i generated a vlog-style video set in Paris... it looks like raw footage a friend shot on a phone here's the workflow, step by step: > step 1: steal the structure, not the pixels i captured 3-5 scenes from a hotels and river views, then pulled character inspiration from pinterest and real vlogs > step 2: analyze the reference with Gemini i sent Gemini everything i'd collected... videos, audio, keyframes and it gave me a shot-by-shot breakdown, i turned that into instructions > step 3: swap the world, keep the bones i changed a lot on the character and the environment until it felt like something of my own, not a copy > step 4: build reference images first, this is where you iterate images are cheap, video is expensive so i built a character sheet, one image per location in the same mood, then the exact start frame the video opens on, all Nano Banana Pro > step 5: one 30-second video run, not ten 3-second clips the full timestamped script goes to Seedance 2.5 through the API as ONE generation start frame as the anchor, one action per beat, camera and audio described concretely, identity locks at the end so her face, outfit and makeup is locked in Seedance handles the cuts internally > step 6: revise like a director, not a gambler the first cut came back good but not right instead of re-rolling the whole 30 seconds i regenerated only the scenes that needed changes as short clips from their own start frames, then cut them into the master with ffmpeg change one variable at a time, never re-roll what already works > step 7: finish like normal footage i assembled the final cut with ffmpeg from the best takes, added ambient music from a free library and done the rules that made it work: - the reference's structure is the asset, prompt archaeology beats prompt writing - iterate on images, commit on video, the start frame decides 80% of the shot - one action per timestamped beat, crowded beats get skipped or invented - lock identity explicitly or it drifts between cuts - fix failed shots by changing one variable, redo scenes, never the whole video - the last 10% is boring editing: trim, splice, music, encode (save this workflow)

Machina

24,863 次观看 • 20 天前

Clone any UGC video with AI in 18 minutes These are the 6 steps to swap the creator in a UGC video and regenerate it with a brand new AI character. 0:00 Intro 0:55 Step 1 - Finding the video to clone 2:11 Step 2 - Generating your new character 4:30 Step 3 - Cutting the original into clips 5:37 Step 4 - Generating clip 1 in Seedance 10:04 Step 5 - Locking the voice across clips 15:38 Step 6 - Editing the final video 17:33 Summary

Mike Futia

10,945 次观看 • 2 个月前

Ever wondered how to create a high-quality monster fight video using Akool? 🦖 Check out this video for a tutorial that covers the details you can follow step-by-step. Learn how to use your creativity to expand your ability to use AI to generate cinematic content with no camera, no crew, and no budget. With just a few character sheets and a detailed prompt, you can create a full cinematic sequence. Ready to start filmmaking? Try Akool!

Ever wondered how to create a high-quality monster fight video using Akool? 🦖 Check out this video for a tutorial that covers the details you can follow step-by-step. Learn how to use your creativity to expand your ability to use AI to generate cinematic content with no camera, no crew, and no budget. With just a few character sheets and a detailed prompt, you can create a full cinematic sequence. Ready to start filmmaking? Try Akool!

Akool Inc

1,544,363 次观看 • 5 个月前

🚨 WHY IS NOBODY TALKING ABOUT THE REAL AI INFLUENCER BUSINESS? everyone's trying to get followers. the money is somewhere else. the real business: → you don't sell the influencer → you sell the ads it makes → to brands that already pay for creatives every month how to set it up: - step 1: build your character in Higgsfield AI Influencer - step 2: pick a niche: skincare, beauty, perfume, fitness - step 3: recreate the UGC formats that convert there with Genjutsu - step 4: make 3 samples and DM 10 DTC brands why brands say yes: → their ads burn out fast → UGC creators are slow and limited → your character works 24 hours/day one character. any niche. a new batch of ads every month. 🔖 SAVE THIS

🚨 WHY IS NOBODY TALKING ABOUT THE REAL AI INFLUENCER BUSINESS? everyone's trying to get followers. the money is somewhere else. the real business: → you don't sell the influencer → you sell the ads it makes → to brands that already pay for creatives every month how to set it up: - step 1: build your character in Higgsfield AI Influencer - step 2: pick a niche: skincare, beauty, perfume, fitness - step 3: recreate the UGC formats that convert there with Genjutsu - step 4: make 3 samples and DM 10 DTC brands why brands say yes: → their ads burn out fast → UGC creators are slow and limited → your character works 24 hours/day one character. any niche. a new batch of ads every month. 🔖 SAVE THIS

arc.

45,711 次观看 • 2 天前

Been playing with a character consistency workflow again. This came from Nexora that starts with a single GPT Image 2.0 character sheet and turns it into a multi-shot cinematic sequence in Seedance 2.0. One thing I added to the workflow: I first comped the character, environment, and visual style together in Midjourney before bringing everything into GPT Image 2.0 to build the character sheet. I also pushed it a bit further by generating multiple characters, destinations, and art directions at the same time, then turning those into production-style character sheets and shot sequences. It's interesting how much consistency you can get from a single well-defined character board when the visual language, wardrobe, and environment are established upfront. Check out three different character + scenes here 👇

Been playing with a character consistency workflow again. This came from Nexora that starts with a single GPT Image 2.0 character sheet and turns it into a multi-shot cinematic sequence in Seedance 2.0. One thing I added to the workflow: I first comped the character, environment, and visual style together in Midjourney before bringing everything into GPT Image 2.0 to build the character sheet. I also pushed it a bit further by generating multiple characters, destinations, and art directions at the same time, then turning those into production-style character sheets and shot sequences. It's interesting how much consistency you can get from a single well-defined character board when the visual language, wardrobe, and environment are established upfront. Check out three different character + scenes here 👇

Curious Refuge

12,209 次观看 • 3 个月前

Introducing Character Motion Control for Video Diffusion Models Creators currently lack control over how characters move and act in the videos they generate with AI. Today, we’re changing that. With Character Motion Control, you can act it out and bring your exact vision to life. How it works: 1️⃣ Describe the scene with a prompt 2️⃣ Upload an acting video to guide character movement 🎥 Generate a video where character motion is driven by the acting video. Register for Early Access via the link in the comments.

Introducing Character Motion Control for Video Diffusion Models Creators currently lack control over how characters move and act in the videos they generate with AI. Today, we’re changing that. With Character Motion Control, you can act it out and bring your exact vision to life. How it works: 1️⃣ Describe the scene with a prompt 2️⃣ Upload an acting video to guide character movement 🎥 Generate a video where character motion is driven by the acting video. Register for Early Access via the link in the comments.

Kinetix

97,996 次观看 • 1 年前

We just tested what might be the most accurate motion transfer workflow we've seen so far. It's a little more involved than a standard workflow, but the results are pretty impressive. Here's the basic workflow: 1. Start with your reference footage. Create character and environment references. 2. Convert the reference footage into a depth map (with Depth-Anything tool on Fal: 3. (Optional) Layer on additional guidance like colorized character masks (with Meta's Segment Anything: and or skeleton poses (with 4. Feed the depth map into Seedance 2.0 Omni as your motion reference along with your character and environment references. 5. Generate your final video. After testing several variations, the depth map workflow consistently produced the cleanest and most accurate motion transfer. If you're trying to recreate specific performances or complex movement, this is one of the closest AI workflows we've seen to achieving production-quality results.

We just tested what might be the most accurate motion transfer workflow we've seen so far. It's a little more involved than a standard workflow, but the results are pretty impressive. Here's the basic workflow: 1. Start with your reference footage. Create character and environment references. 2. Convert the reference footage into a depth map (with Depth-Anything tool on Fal: 3. (Optional) Layer on additional guidance like colorized character masks (with Meta's Segment Anything: and or skeleton poses (with 4. Feed the depth map into Seedance 2.0 Omni as your motion reference along with your character and environment references. 5. Generate your final video. After testing several variations, the depth map workflow consistently produced the cleanest and most accurate motion transfer. If you're trying to recreate specific performances or complex movement, this is one of the closest AI workflows we've seen to achieving production-quality results.

Curious Refuge

31,323 次观看 • 2 个月前