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🔥 Why it’s impressive: 🟩 Perfect style transfer 🟩 Identity stays consistent 🟩 Browser-based & FREE Dreamina 4.0 turns image reference → new art in seconds with artist-level results. 🚀🎨 Try for free! #Dreamina #Dreaminapartner #posterdesign #seedream4

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Leo ☄️

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39,640 views • 7 months ago •via X (Twitter)

#Dreamina#Dreaminapartner#posterdesign
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19,484 views • 1 year ago

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PuppetZ.CDC🎭

16,936 views • 1 year ago

Everyone's talking, reading, or writing about how much is changing in how we build products in the future, but very few people have actually experienced what the most cutting edge tools are capable of. In a new series on my podcast, I'm going to sit down with the founders of the most advanced product development tools to live demo what these tools can do, and then talk about the implications of this on product people's careers and lives. To kick things off, I sat down with Amjad Masad (Amjad Masad), co-founder and CEO of Replit ⠕, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. In our conversation, Amjad shares: 🔸 A live demo of Replit building a full-stack web app from a text prompt 🔸 The implications of AI-powered development for product managers, designers, and engineers 🔸 What skills will matter more, and less, in the future 🔸 How this might reshape companies and careers 🔸 Why being “generative” will become an increasingly valuable skill 🔸 “Amjad’s law” and how learning to debug AI-generated code is becoming ever more valuable 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 — A global leader in digital identity verification: 🏆 @LinkedInMktg — Reach professionals and drive results for your business:
1:06

Everyone's talking, reading, or writing about how much is changing in how we build products in the future, but very few people have actually experienced what the most cutting edge tools are capable of. In a new series on my podcast, I'm going to sit down with the founders of the most advanced product development tools to live demo what these tools can do, and then talk about the implications of this on product people's careers and lives. To kick things off, I sat down with Amjad Masad (Amjad Masad), co-founder and CEO of Replit ⠕, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. In our conversation, Amjad shares: 🔸 A live demo of Replit building a full-stack web app from a text prompt 🔸 The implications of AI-powered development for product managers, designers, and engineers 🔸 What skills will matter more, and less, in the future 🔸 How this might reshape companies and careers 🔸 Why being “generative” will become an increasingly valuable skill 🔸 “Amjad’s law” and how learning to debug AI-generated code is becoming ever more valuable 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 — A global leader in digital identity verification: 🏆 @LinkedInMktg — Reach professionals and drive results for your business:

Lenny Rachitsky

81,955 views • 1 year ago

🚀 BIG UPDATE on FUZION-XIO The Decentralised Social-Fi + multi-currency NFT exchange on the #XRP Ledger! Registration is now 100% FREE! No more fees - create your profile instantly at Decentralised Validation → Get validated by any user to unlock passive earning in XRP or ANY XRPL asset of your choice! (Earn ‘Anchor Assets’ forever!) PLUS: New users (and old) after creating your profile with name + image, drop your profile image + profile link in the comments below for an airdrop of 0.0001 XIO! XIO is our exclusive governance asset (only 10,000 total supply) to kickstart your power: validation boosts, governance voting, future rewards & more! Trustline in XAMAN: Join the revolution: mint/trade NFTs (images, 3D, music, PDFs, GLB/FBX 3D files & more), connect wallets, build in Web3. Profiles perfect for: NFT content creators 🎨, businesses & projects 🏢, individuals & influencers 🌟, collectors 🖼️, artists, musicians, GameFi devs, RWA tokenizers, 3D modelers, and anyone ready to earn + govern on XRPL! Who’s signing up today? Drop your profile below! 🔥⬇️ FUZION-XIO™ is developed by DPMF and operates with DPMF Labs. Some of the team dropping XIO to your profiles when active are: D A N ϟ E L ⚡️💎☀️🐉🪝 Live Free NSCV Hope you have a good weekend and look forward to future developments! #FUZIONXIO #XIO #XRPL #XRP #NFT #SocialFi #DeFi #Web3 #Airdrop #Xaman FUZION-XIO™ DPMF
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🚀 BIG UPDATE on FUZION-XIO The Decentralised Social-Fi + multi-currency NFT exchange on the #XRP Ledger! Registration is now 100% FREE! No more fees - create your profile instantly at Decentralised Validation → Get validated by any user to unlock passive earning in XRP or ANY XRPL asset of your choice! (Earn ‘Anchor Assets’ forever!) PLUS: New users (and old) after creating your profile with name + image, drop your profile image + profile link in the comments below for an airdrop of 0.0001 XIO! XIO is our exclusive governance asset (only 10,000 total supply) to kickstart your power: validation boosts, governance voting, future rewards & more! Trustline in XAMAN: Join the revolution: mint/trade NFTs (images, 3D, music, PDFs, GLB/FBX 3D files & more), connect wallets, build in Web3. Profiles perfect for: NFT content creators 🎨, businesses & projects 🏢, individuals & influencers 🌟, collectors 🖼️, artists, musicians, GameFi devs, RWA tokenizers, 3D modelers, and anyone ready to earn + govern on XRPL! Who’s signing up today? Drop your profile below! 🔥⬇️ FUZION-XIO™ is developed by DPMF and operates with DPMF Labs. Some of the team dropping XIO to your profiles when active are: D A N ϟ E L ⚡️💎☀️🐉🪝 Live Free NSCV Hope you have a good weekend and look forward to future developments! #FUZIONXIO #XIO #XRPL #XRP #NFT #SocialFi #DeFi #Web3 #Airdrop #Xaman FUZION-XIO™ DPMF

FUZION-XIO™

23,092 views • 5 months ago

🎬 Nano Banana Pro + Kling O1 ile Sevdiğiniz Filmin İçinden Sahnelere Işınlanın! Nasıl Yapılır? 👇(Promptlar ve Uygulama) 1️⃣ Her Sahneyi Oluşturun: Her sahneyi kendi tutarlılığınızı koruyarak oluşturmanız gerekiyor. Bunun için kendi fotoğrafınızı yükleyin ve aşağıdaki uyarlanabilir promptu kullanın. Not: Prompt içindeki köşeli parantezleri doldurun: karakter, film/dizi, sahne, poz, mekân vb. PROMPT (SELFIE SAHNESİ): STRICT IDENTITY LOCK – SELFIE SCENE The person holding the phone and taking the selfie MUST be the exact same person as in the uploaded reference image. Do NOT generate a new person. The face, facial proportions, jawline, beard, hairstyle, skin tone, age, and overall identity must be IDENTICAL to the reference photo. This is a selfie taken by the reference person, not a third-person photo. Scene takes place in: [UNIVERSE / FILM / SERIES NAME], at [SPECIFIC LOCATION]. The reference person is holding a smartphone with one hand, arm slightly extended, clearly taking a selfie. [CHARACTER NAME] is standing right next to the reference person, slightly leaning into the frame, with [CHARACTER POSE / MOOD], looking at the camera. The reference person looks exactly like the uploaded photo, same appearance, same vibe, natural and realistic. [CHARACTER NAME] looks exactly like in [FILM / SERIES NAME]: [CHARACTER ACTOR NAME – optional], [CLOTHING / OUTFIT DETAILS], [HAIR / FACE / DISTINCTIVE FEATURES], [OVERALL AURA OR PERSONALITY]. Camera perspective: realistic front-facing smartphone selfie Composition: slight wide-angle distortion typical of phone selfies Lighting: [LIGHTING DESCRIPTION matching the universe], cinematic realism Aspect ratio: 1:1 Style: ultra-realistic, [FILM / SERIES]-accurate, photorealistic Priority order: identity accuracy > selfie realism > scene accuracy 🚫 NEGATIVE PROMPT (AYNEN KALACAK) Voldemort following the person, Voldemort transforming, character morphing, identity change, face swap, teleporting, sudden scene cut, camera jump, third-person view, extra people, distorted face, CGI look, fantasy art, cartoon, glitch effects 2️⃣ Start Frame ve End Frame ile Video Oluşturun: Start frame kısmına başlangıç sahnenizi, end frame kısmına ise bitiş sahnesini yerleştirin. Örnek: Başlangıç: Spiderman ile sahne Bitiş: Witcher ile sahne Kurallar: Her end frame bir sonraki sahnenin start frame’i olmalı. Geçişler arası tutarlılığı korumak için video üretme modeli kullanın (ör. Kling O1). 3️⃣ Geçişleri Sağlamak için Uyarlanabilir Prompt: STRICT IDENTITY CONSISTENCY – TRANSITION SEQUENCE The person holding the phone must remain IDENTICAL to the reference identity across all frames. Face, facial structure, beard, hairstyle, skin tone, age, and overall appearance must not change at any point during the transition. This is a continuous selfie video, recorded by the same person with a front-facing smartphone camera. The video starts in: [BAŞLANGIÇ EVRENİ / DİZİ / FİLM ADI], at [BAŞLANGIÇ MEKÂNI]. The reference person is holding the phone, taking a selfie with [BAŞLANGIÇ KARAKTERİ] standing next to them. [BAŞLANGIÇ KARAKTERİ] remains in place, calm and still, maintaining their position in the background. After the selfie moment, the reference person turns slightly and starts walking away, still holding the phone in selfie position. [BAŞLANGIÇ KARAKTERİ] stays behind and does NOT follow, does NOT move, and does NOT transform. The reference person continues walking forward alone, phone held steadily. As the walk continues, the environment gradually transforms: [BAŞLANGIÇ MEKÂNININ AYIRT EDİCİ YAPILARI] slowly fade behind [BAŞLANGIÇ EVRENİNE AİT ATMOSFER DETAYLARI] dissolve into mist / fog The overall tone transitions into [HEDEF EVRENİN ATMOSFERİ: karanlık, mistik, futuristik vb.] Environmental textures subtly evolve into [HEDEF EVREN / MEKÂN TARZI] During the transition, a cinematic visual bridge appears: swirling fog faint magical / sci-fi / atmospheric particles subtle wind moody, desaturated lighting smooth atmospheric blending No hard cuts, no teleporting, no sudden jumps By the end of the walk, the environment has fully transformed into: [HEDEF EVRENİ / DİZİ / FİLM ADI]. [HEDEF KARAKTERİ] naturally enters the frame next to the reference person, as if joining for a selfie. The reference person stops walking and holds the phone steady to take a new selfie. [HEDEF KARAKTERİ] looks exactly like in [HEDEF EVRENİ / DİZİ / FİLM ADI]: [OYUNCU ADI – opsiyonel], [SAÇ / YÜZ / AYIRT EDİCİ ÖZELLİKLER], [KIYAFET / KOSTÜM DETAYLARI], [GENEL DURUŞ / KARAKTER AURASI]. Camera rules: front-facing smartphone selfie stable hand-held motion no camera flips no angle jumps Motion: smooth forward walk, natural human movement Style: cinematic, ultra-realistic, [HEDEF EVREN]-accurate Aspect ratio: 1:1 Priority: identity consistency > motion continuity > environment transition 🚫 NEGATIVE PROMPT (BUNU ASLA ÇIKARMA) [BAŞLANGIÇ KARAKTERİ] following the person, [BAŞLANGIÇ KARAKTERİ] transforming, character morphing, identity change, face swap, teleporting, sudden scene cut, camera jump, third-person view, extra people, distorted face, CGI look, fantasy art, cartoon, glitch effects 4️⃣ Videoları Birleştirin: Tüm sahneleri ve geçişleri oluşturduktan sonra CapCut veya benzeri bir video editöründe birleştirin. İsterseniz müzik ve ses efektleri ekleyin. Bu yöntemle, kendi fotoğrafınızı kullanarak tüm favori karakterlerle selfie videoları oluşturabilir ve sahneler arası mükemmel geçişler sağlayabilirsiniz! #AIArt #aivideo #FilmSelfie #VideoEditing #NanoBananaPro
0:50

🎬 Nano Banana Pro + Kling O1 ile Sevdiğiniz Filmin İçinden Sahnelere Işınlanın! Nasıl Yapılır? 👇(Promptlar ve Uygulama) 1️⃣ Her Sahneyi Oluşturun: Her sahneyi kendi tutarlılığınızı koruyarak oluşturmanız gerekiyor. Bunun için kendi fotoğrafınızı yükleyin ve aşağıdaki uyarlanabilir promptu kullanın. Not: Prompt içindeki köşeli parantezleri doldurun: karakter, film/dizi, sahne, poz, mekân vb. PROMPT (SELFIE SAHNESİ): STRICT IDENTITY LOCK – SELFIE SCENE The person holding the phone and taking the selfie MUST be the exact same person as in the uploaded reference image. Do NOT generate a new person. The face, facial proportions, jawline, beard, hairstyle, skin tone, age, and overall identity must be IDENTICAL to the reference photo. This is a selfie taken by the reference person, not a third-person photo. Scene takes place in: [UNIVERSE / FILM / SERIES NAME], at [SPECIFIC LOCATION]. The reference person is holding a smartphone with one hand, arm slightly extended, clearly taking a selfie. [CHARACTER NAME] is standing right next to the reference person, slightly leaning into the frame, with [CHARACTER POSE / MOOD], looking at the camera. The reference person looks exactly like the uploaded photo, same appearance, same vibe, natural and realistic. [CHARACTER NAME] looks exactly like in [FILM / SERIES NAME]: [CHARACTER ACTOR NAME – optional], [CLOTHING / OUTFIT DETAILS], [HAIR / FACE / DISTINCTIVE FEATURES], [OVERALL AURA OR PERSONALITY]. Camera perspective: realistic front-facing smartphone selfie Composition: slight wide-angle distortion typical of phone selfies Lighting: [LIGHTING DESCRIPTION matching the universe], cinematic realism Aspect ratio: 1:1 Style: ultra-realistic, [FILM / SERIES]-accurate, photorealistic Priority order: identity accuracy > selfie realism > scene accuracy 🚫 NEGATIVE PROMPT (AYNEN KALACAK) Voldemort following the person, Voldemort transforming, character morphing, identity change, face swap, teleporting, sudden scene cut, camera jump, third-person view, extra people, distorted face, CGI look, fantasy art, cartoon, glitch effects 2️⃣ Start Frame ve End Frame ile Video Oluşturun: Start frame kısmına başlangıç sahnenizi, end frame kısmına ise bitiş sahnesini yerleştirin. Örnek: Başlangıç: Spiderman ile sahne Bitiş: Witcher ile sahne Kurallar: Her end frame bir sonraki sahnenin start frame’i olmalı. Geçişler arası tutarlılığı korumak için video üretme modeli kullanın (ör. Kling O1). 3️⃣ Geçişleri Sağlamak için Uyarlanabilir Prompt: STRICT IDENTITY CONSISTENCY – TRANSITION SEQUENCE The person holding the phone must remain IDENTICAL to the reference identity across all frames. Face, facial structure, beard, hairstyle, skin tone, age, and overall appearance must not change at any point during the transition. This is a continuous selfie video, recorded by the same person with a front-facing smartphone camera. The video starts in: [BAŞLANGIÇ EVRENİ / DİZİ / FİLM ADI], at [BAŞLANGIÇ MEKÂNI]. The reference person is holding the phone, taking a selfie with [BAŞLANGIÇ KARAKTERİ] standing next to them. [BAŞLANGIÇ KARAKTERİ] remains in place, calm and still, maintaining their position in the background. After the selfie moment, the reference person turns slightly and starts walking away, still holding the phone in selfie position. [BAŞLANGIÇ KARAKTERİ] stays behind and does NOT follow, does NOT move, and does NOT transform. The reference person continues walking forward alone, phone held steadily. As the walk continues, the environment gradually transforms: [BAŞLANGIÇ MEKÂNININ AYIRT EDİCİ YAPILARI] slowly fade behind [BAŞLANGIÇ EVRENİNE AİT ATMOSFER DETAYLARI] dissolve into mist / fog The overall tone transitions into [HEDEF EVRENİN ATMOSFERİ: karanlık, mistik, futuristik vb.] Environmental textures subtly evolve into [HEDEF EVREN / MEKÂN TARZI] During the transition, a cinematic visual bridge appears: swirling fog faint magical / sci-fi / atmospheric particles subtle wind moody, desaturated lighting smooth atmospheric blending No hard cuts, no teleporting, no sudden jumps By the end of the walk, the environment has fully transformed into: [HEDEF EVRENİ / DİZİ / FİLM ADI]. [HEDEF KARAKTERİ] naturally enters the frame next to the reference person, as if joining for a selfie. The reference person stops walking and holds the phone steady to take a new selfie. [HEDEF KARAKTERİ] looks exactly like in [HEDEF EVRENİ / DİZİ / FİLM ADI]: [OYUNCU ADI – opsiyonel], [SAÇ / YÜZ / AYIRT EDİCİ ÖZELLİKLER], [KIYAFET / KOSTÜM DETAYLARI], [GENEL DURUŞ / KARAKTER AURASI]. Camera rules: front-facing smartphone selfie stable hand-held motion no camera flips no angle jumps Motion: smooth forward walk, natural human movement Style: cinematic, ultra-realistic, [HEDEF EVREN]-accurate Aspect ratio: 1:1 Priority: identity consistency > motion continuity > environment transition 🚫 NEGATIVE PROMPT (BUNU ASLA ÇIKARMA) [BAŞLANGIÇ KARAKTERİ] following the person, [BAŞLANGIÇ KARAKTERİ] transforming, character morphing, identity change, face swap, teleporting, sudden scene cut, camera jump, third-person view, extra people, distorted face, CGI look, fantasy art, cartoon, glitch effects 4️⃣ Videoları Birleştirin: Tüm sahneleri ve geçişleri oluşturduktan sonra CapCut veya benzeri bir video editöründe birleştirin. İsterseniz müzik ve ses efektleri ekleyin. Bu yöntemle, kendi fotoğrafınızı kullanarak tüm favori karakterlerle selfie videoları oluşturabilir ve sahneler arası mükemmel geçişler sağlayabilirsiniz! #AIArt #aivideo #FilmSelfie #VideoEditing #NanoBananaPro

Tech With Eray

36,268 views • 7 months ago

I’ve built an order execution tool specifically for IB users. The open-source code is available on GitHub, but since most traders probably prefer something simple and ready to use, I also made an executable (.exe) version and uploaded it to Google Drive. This order execution tool can automatically retrieve your account balance and calculate position size based on your specified risk %. You can choose to set the stop loss at the LOD (low of the day) or enter it manually. The tool automatically places stop orders according to your stop level, one stop or 3 stops Why three stop orders? You can refer to Jeff Sun, CFTe Jeff Sun’s article for the reasoning behind this risk management approach. It also comes with customizable hotkeys for quick and efficient order placement. In the demo video, I used a virtual keyboard to show you how it works in real time. Lastly, this tool is completely free to use. If you find it helpful, you’re welcome to buy me a coffee — your support is what keeps me motivated to keep improving and adding new features. I’ve recorded a demo video showing how to set it up and use it — it’s already posted on X for reference. Github: Googledrive:
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I’ve built an order execution tool specifically for IB users. The open-source code is available on GitHub, but since most traders probably prefer something simple and ready to use, I also made an executable (.exe) version and uploaded it to Google Drive. This order execution tool can automatically retrieve your account balance and calculate position size based on your specified risk %. You can choose to set the stop loss at the LOD (low of the day) or enter it manually. The tool automatically places stop orders according to your stop level, one stop or 3 stops Why three stop orders? You can refer to Jeff Sun, CFTe Jeff Sun’s article for the reasoning behind this risk management approach. It also comes with customizable hotkeys for quick and efficient order placement. In the demo video, I used a virtual keyboard to show you how it works in real time. Lastly, this tool is completely free to use. If you find it helpful, you’re welcome to buy me a coffee — your support is what keeps me motivated to keep improving and adding new features. I’ve recorded a demo video showing how to set it up and use it — it’s already posted on X for reference. Github: Googledrive:

Will Hu

29,336 views • 8 months ago

Everyone is sleeping on Meta's SAM 3 release. But it's actually a big deal. Here's why: Companies spend millions paying humans to label images and videos frame by frame. A single autonomous driving dataset? Months of work, hundreds of annotators, millions in cost. Without labeled data, you can't train custom models. Without custom models, you're stuck with generic solutions. This is why most companies never move past pilots. SAM 3 breaks this cycle. First let's look at the evolution: SAM 1 segmented objects when you clicked on them. Revolutionary, but one object at a time. SAM 2 added video tracking with memory. Game-changing, but you still manually prompted every object. SAM 3 changes everything with text prompts. Type "yellow school bus" and it finds ALL of them in your image or video. Not just one. Every instance across thousands of frames. Now here's where people get confused: "Can't I just use GPT-5 or Gemini for this?" No, and here's why that's a terrible approach. Large multimodal LLMs are great for reasoning, but they're slow and expensive for production visual tasks. You're paying API costs per image, waiting seconds for responses, getting inconsistent results. SAM 3 runs in 30 milliseconds on a single GPU for 100+ objects. That's 100x faster, and you own the infrastructure. More importantly, SAM 3 gives you precise pixel-level masks, not descriptions. Try asking an LLM to segment every defective part on a manufacturing line in real-time. It won't work. SAM 3 does this effortlessly. The real breakthrough is their data engine. Meta built an AI-human hybrid system that's 5x faster for complex annotations. They trained SAM 3 on 4 million unique visual concepts - 50x more than existing benchmarks like LVIS. SAM 3 is trained on 4 million unique visual concepts, it handles everything: - Text-based concept search - Interactive refinement with clicks - Video tracking across frames - Zero-shot detection of new concepts The model is open source. Weights, code, and benchmarks are on GitHub. If you're building computer vision applications, this is the foundation model to evaluate. The annotation time savings alone will pay for integration costs within weeks. Find the relevant links in the next tweet!
0:27

Everyone is sleeping on Meta's SAM 3 release. But it's actually a big deal. Here's why: Companies spend millions paying humans to label images and videos frame by frame. A single autonomous driving dataset? Months of work, hundreds of annotators, millions in cost. Without labeled data, you can't train custom models. Without custom models, you're stuck with generic solutions. This is why most companies never move past pilots. SAM 3 breaks this cycle. First let's look at the evolution: SAM 1 segmented objects when you clicked on them. Revolutionary, but one object at a time. SAM 2 added video tracking with memory. Game-changing, but you still manually prompted every object. SAM 3 changes everything with text prompts. Type "yellow school bus" and it finds ALL of them in your image or video. Not just one. Every instance across thousands of frames. Now here's where people get confused: "Can't I just use GPT-5 or Gemini for this?" No, and here's why that's a terrible approach. Large multimodal LLMs are great for reasoning, but they're slow and expensive for production visual tasks. You're paying API costs per image, waiting seconds for responses, getting inconsistent results. SAM 3 runs in 30 milliseconds on a single GPU for 100+ objects. That's 100x faster, and you own the infrastructure. More importantly, SAM 3 gives you precise pixel-level masks, not descriptions. Try asking an LLM to segment every defective part on a manufacturing line in real-time. It won't work. SAM 3 does this effortlessly. The real breakthrough is their data engine. Meta built an AI-human hybrid system that's 5x faster for complex annotations. They trained SAM 3 on 4 million unique visual concepts - 50x more than existing benchmarks like LVIS. SAM 3 is trained on 4 million unique visual concepts, it handles everything: - Text-based concept search - Interactive refinement with clicks - Video tracking across frames - Zero-shot detection of new concepts The model is open source. Weights, code, and benchmarks are on GitHub. If you're building computer vision applications, this is the foundation model to evaluate. The annotation time savings alone will pay for integration costs within weeks. Find the relevant links in the next tweet!

Akshay 🚀

46,404 views • 7 months ago

Here's my first series of Anime created by Generative AI. Vidu 2.0 is a groundbreaking advancement for storytelling in the Anime style. #vidu @Viduforhuman Hi everyone 😊 😉 Here's my first AI-created Anime series. The name of my anime is Kuro & Yuki. I won't spoil the story for you, but it begins with these two boys locked up in what appears to be a highly secure institute/prison. Yuki has reached the age where he has awakened his power. While wandering the corridors of the institute, he meets Kuro, a boy with autism. It's a fleeting encounter as they end up being separated. As the story unfolds, you'll understand who they really are and why they are locked up. I don't plan on making episode 2 yet, even though I've grown attached to my characters' story. I'll continue the story only if a lot of people are interested and want to know what happens next. Otherwise, I'll explore other universes and styles of Anime 😉 Tools: - Epidemic Sound (For sound effects) - Vidu AI (to transform frames into animation) - ElevenLabs (for certain expressions) When I say Vidu 2.0 is a game-changer, I mean it. I had already made my animation with the previous version of Vidu, but when they gave me access to the beta, I urgently changed my plans and recreated all the animations. Let me tell you, it's a whole new level. My first animation was ultra frustrating to bring my ideas to life! Really! And since Vidu couldn't handle many image styles, I clearly couldn't bring my ideas to life. But with Vidu 2.0, I enjoy it much more! For the first time, I really get to bring my ideas to life! Until now, I always had to make compromises. Of course, Vidu is still not perfect, and there are still many obstacles, but it is a truly magnificent advancement! (and it surpasses all the Anime-style AIs I've tested recently) Moreover, Vidu 2.0 is fantastic for special effects, but also for embedding elements into the video (like a hand that appears and interacts with the character, or another character; and the best part is that they perfectly match the style of the original images!) * The animations/images and voices are AI-generated * The SoundDesign is traditional and done by me * The story was entirely written by me (I don't use AI to create my stories, it's important to me to write them myself) The voices were generated thanks to Nijivoice (for secondary characters) and Hailuo Audio (for main characters). I thank Yachimat (yachimat - AI Short Anime) for introducing me to Nijivoice, it's very generous of him! During the beta, we didn't consume credits, otherwise, this animation would have cost me around 20,000 credits, ha ha. Vidu 2.0, with its superb stability and fidelity to the style of images, offers brand new horizons for storytelling! One problem with Vidu 2.0 is that for now, you have to manually extend videos (by exporting the last frame). As you can see, this allowed me to create long scenes with different actions, and everything fits together perfectly! There are still many obstacles to storytelling, such as character consistency (I use the image to video function; I produce my images with Nijijourney) and it's always laborious to have a consistent character! The same goes for backgrounds. Here are the points I've identified that would facilitate storytelling: For Vidu: - Function to extend videos (you can already do this manually by exporting the last frame) - Function to invent the beginning or end of a video using a single frame (you can already do this manually by putting a completely white or completely black image as the first or last frame; this technique also allows you to have very dynamic results with Vidu 2.0! ) - It's difficult to obtain facial expressions for certain image styles (the same image style that the previous version couldn't handle at all). - More dynamism There's always room for improvement, but Vidu 2.0 has truly opened up exciting new possibilities for creative storytelling. ai aiart aianimation aianime ainews anime animenews aitools aitool
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Here's my first series of Anime created by Generative AI. Vidu 2.0 is a groundbreaking advancement for storytelling in the Anime style. #vidu @Viduforhuman Hi everyone 😊 😉 Here's my first AI-created Anime series. The name of my anime is Kuro & Yuki. I won't spoil the story for you, but it begins with these two boys locked up in what appears to be a highly secure institute/prison. Yuki has reached the age where he has awakened his power. While wandering the corridors of the institute, he meets Kuro, a boy with autism. It's a fleeting encounter as they end up being separated. As the story unfolds, you'll understand who they really are and why they are locked up. I don't plan on making episode 2 yet, even though I've grown attached to my characters' story. I'll continue the story only if a lot of people are interested and want to know what happens next. Otherwise, I'll explore other universes and styles of Anime 😉 Tools: - Epidemic Sound (For sound effects) - Vidu AI (to transform frames into animation) - ElevenLabs (for certain expressions) When I say Vidu 2.0 is a game-changer, I mean it. I had already made my animation with the previous version of Vidu, but when they gave me access to the beta, I urgently changed my plans and recreated all the animations. Let me tell you, it's a whole new level. My first animation was ultra frustrating to bring my ideas to life! Really! And since Vidu couldn't handle many image styles, I clearly couldn't bring my ideas to life. But with Vidu 2.0, I enjoy it much more! For the first time, I really get to bring my ideas to life! Until now, I always had to make compromises. Of course, Vidu is still not perfect, and there are still many obstacles, but it is a truly magnificent advancement! (and it surpasses all the Anime-style AIs I've tested recently) Moreover, Vidu 2.0 is fantastic for special effects, but also for embedding elements into the video (like a hand that appears and interacts with the character, or another character; and the best part is that they perfectly match the style of the original images!) * The animations/images and voices are AI-generated * The SoundDesign is traditional and done by me * The story was entirely written by me (I don't use AI to create my stories, it's important to me to write them myself) The voices were generated thanks to Nijivoice (for secondary characters) and Hailuo Audio (for main characters). I thank Yachimat (yachimat - AI Short Anime) for introducing me to Nijivoice, it's very generous of him! During the beta, we didn't consume credits, otherwise, this animation would have cost me around 20,000 credits, ha ha. Vidu 2.0, with its superb stability and fidelity to the style of images, offers brand new horizons for storytelling! One problem with Vidu 2.0 is that for now, you have to manually extend videos (by exporting the last frame). As you can see, this allowed me to create long scenes with different actions, and everything fits together perfectly! There are still many obstacles to storytelling, such as character consistency (I use the image to video function; I produce my images with Nijijourney) and it's always laborious to have a consistent character! The same goes for backgrounds. Here are the points I've identified that would facilitate storytelling: For Vidu: - Function to extend videos (you can already do this manually by exporting the last frame) - Function to invent the beginning or end of a video using a single frame (you can already do this manually by putting a completely white or completely black image as the first or last frame; this technique also allows you to have very dynamic results with Vidu 2.0! ) - It's difficult to obtain facial expressions for certain image styles (the same image style that the previous version couldn't handle at all). - More dynamism There's always room for improvement, but Vidu 2.0 has truly opened up exciting new possibilities for creative storytelling. ai aiart aianimation aianime ainews anime animenews aitools aitool

Naegiko

66,107 views • 1 year ago