꧁༺ 𝓝𝓪𝓻𝓽𝓶𝓸𝓿𝓮.𝓝𝓯𝓽 ༻꧂

(1/6) 10 months ago, I embarked on a unique journey: restoring the lost Doctor Who story, "Marco Polo" (1964), a classic from the BBC. Using AI, on-set photos, screen captures, audio tracks, and the original script, I’m bringing this adventure back to life for fans worldwide. 🎥✨ 🔗 en.wikipedia.org/wiki/Marco_Pol…

🔥 Alright guys — big update from Luma. Midjourney finally has a real competitor in terms of creative output — Luma just dropped Uni-1. And yes — you can already test it for free. ⸻ 💥 I tested it. First results? Impressive. ⸻ 🧠 What stands out: • supports multi-input references • allows editing via text All in the best traditions of “the banana” 🍌 ⸻ What is Uni-1? Uni-1 is Luma’s first multimodal model that unifies: 👉 image understanding 👉 image generation — inside a single architecture ⸻ 💡 Unlike diffusion models, Uni-1 generates content token by token. That means: visual understanding + visual generation are handled as one unified process, not split into separate “thinking” and “rendering” stages. ⸻ 🚀 The key breakthrough: structured reasoning Before generating pixels, the model can: • decompose complex prompts • identify constraints • plan composition —all in a single forward pass. ⸻ 🧠 In simple terms: The model can think in language → imagine → render in pixels ⸻ 🎹 One demo stood out: From a single reference image, the model generated a sequence showing a pianist aging from childhood to old age — while keeping: • camera angle • scene consistency ⸻ 📡 Availability: • accessible via API • rollout is gradual Most likely coming to Weavy AI in the next few days. ⸻ 🎬 What’s next? Audio and video generation are expected in upcoming releases. ⸻ The direction is clear: We’re moving from image generators to thinking visual systems.

💥 ByteDance is ignoring Hollywood. Progress > lawsuits. ByteDance is launching full-cycle AI filmmaking powered by Seedance 2.0. On March 19, ByteDance made another move in the tech race with the release of Xiaoyunque (小云雀). While the Western industry is trying to slow AI down through legal battles, the East is building tools that make those battles irrelevant. ⸻ China isn’t reacting. It’s positioning. And that position says one thing: they’re making decisions without looking back at Hollywood. ⸻ 🧠 Xiaoyunque is not just a generator. It’s a full AI agent for short-form drama production, built on top of Seedance 2.0. The message behind this release is clear: 👉 technological sovereignty + distribution speed > legal pressure ⸻ What actually changes the game? 🚫 Barrier bypassing The platform enables 8K professional-grade content without watermarks, giving creators access to what used to require an entire film studio. ⸻ 🎭 Consistency architecture One of the hardest problems is solved: • stable character identity • consistent environments • continuity across full runtime ⸻ 📈 Scale The AI agent can process scripts up to 100,000 words and turn them into: • storyboards • consistent scenes • voice acting • editing • final episodic output 👉 essentially delivering a finished series. ⸻ 🔥 Real-world traction A 60-episode animated series, created in just 8 days (instead of the usual 3–6 months), reportedly reached 100M+ views on Douyin in 4 days. ⸻ ⚖️ While the old world is busy fighting in court, the new one is busy building. ⸻ 🔗 Official site: xyq.jianying.com 🔗 Release coverage: Pandaily News pandaily.com/byte-dance-lau…

@vadooai WAN

🚨 WAN 2.7 Early Access Big upgrades: ⚡ Visuals • 🎬 Motion • 🔊 Audio • 🎨 Style • 🧠 Consistency First/last frame video, 9-grid image→video, voice + subject reference, editing & recreation. No waiting. No delays. Be first to use it. Follow, Repost & comment “WAN” for early access 🚀

🧠 If you didn’t know — Microsoft has its own image generation model: MAI-Image-2. And today, they rolled out an update. ⸻ 🚀 You can test it for free here microsoft.ai/news/introduci… ⸻ 💡 And honestly? It works really well. The quality, prompt understanding, and overall consistency are surprisingly strong — definitely worth trying if you’re working with visual content.

🧩 Google Stitch is another strong signal that AI is going deeper into product design. The tool allows you to turn: • text descriptions • sketches • wireframes • even screenshots into a ready-to-use interface for web and mobile, and then refine it through dialogue with AI. ⸻ 💡 Why this matters: • ideas turn into visual prototypes faster ⚡️ • prototypes are easier to adapt to specific needs • the path from thought → first screen becomes shorter ⸻ For designers → faster iteration cycles 🎨 For founders → rapid hypothesis testing 📊 For developers → a more direct path from concept to interface 💻 ⸻ 🎯 The key takeaway is simple: AI is no longer just an assistant. It’s becoming a working layer between idea and final digital product. ⸻ 🚀 Try it here stitch.withgoogle.com

🎬 MatAnyone 2 — video masking at a whole new level In professional filmmaking and post-production, masking is a core technique. It allows you to cut out or isolate parts of a frame to: • separate a subject from the background • apply effects only to specific areas (like color grading on a face) • create complex transitions where one shot reveals itself through another ⸻ 🧠 MatAnyone 2 takes this to a new level. It’s a high-quality model that handles complex subject separation with impressive precision. Unlike standard tools that roughly cut objects out, this model generates soft, semi-transparent masks with pixel-level accuracy. It captures: ✨ individual strands of hair 💨 smoke and fine particles 🧵 delicate details like lace while preserving natural edges. ⸻ 💡 The breakthrough comes from the training approach. Instead of relying on simple static images, the team led by Peiqing Yang trained the model on: 🎞 2.4 million real video frames This allows the model to understand motion, depth, and fine detail in ways most AI tools still struggle with. ⸻ 🚀 Try it: 🌐 Browser demo → huggingface.co/spaces/Peiqing… 💻 Local run → github.com/pq-yang/MatAny… ⸻ This is another step toward production-grade AI tooling, where precision starts matching real post-production pipelines.

⚡️ Higgsfield is trying to repair its reputation. They’ve quietly stopped pushing those pseudo “free” plans that were… let’s say, questionable. Instead, they introduced a new feature: 🎭 AI actors inside the platform You can now select virtual actors and use them directly in your generations. ⸻ At first glance — nothing groundbreaking. Technically, this is just LoRA-style weights wrapped in a UI. But there’s one important detail 👇 ⸻ 💡 This is a preview of what’s coming next. And I’m pretty confident here. This is exactly how future AI actor ecosystems will look — including licensed real-world celebrities. ⸻ We’re moving toward: 🧑‍🎤 Catalogs of AI actors — each with a unique identity — face, voice, style 📦 Available via platforms or dedicated marketplaces 🆔 Accessed through tagged identity IDs ⸻ And the business model is obvious: Use the actor → pay royalties 💰 ⸻ You want a specific face? A recognizable voice? A known persona? You don’t cast. You license. ⸻ And honestly — it makes perfect sense. This is where AI content creation becomes not just a tool, but a full economic layer around identity.

@freepik Your toolset, interface, and usability are definitely the best. There is room for improvement, but you are 100% the best. I use it every day.

Freepik is now the #11 most-used Gen AI Product Worldwide We got here by reinvesting and staying focused on what matters to us: building the best creative platform for professionals worldwide Thanks to every creator, team, and enterprise that trusts us We keep building

Some things cannot be generated. They belong to the living world. youtu.be/hKks7D7DVZw?si… On January 19, 2026, in the Gallery of Honour at the Rijksmuseum in Amsterdam, surrounded by works of Rembrandt, Vermeer, and other masters, Sting recorded a special concert titled: 🎶 “The Night Watch – Live at the Rijksmuseum.” One of the highlights was my favorite song — “Shape of My Heart.” Watch carefully how the shoot is organized: 🎥 camera movement 💡 lighting 🎬 framing and composition It’s an excellent masterclass in visual storytelling, and at the same time a pure audio-visual pleasure. This was not a typical large-scale concert. It was an intimate, камерный project created as part of the Sounds Like Art series. The performance will later be released both as: • 🎬 a film by ARTE • 🎧 a standalone live album The setlist included classics: • Message in a Bottle • Roxanne • Shape of My Heart • Fields of Gold • Fragile • Every Breath You Take The format was closer to a special cinematic recording with a very limited audience, rather than a traditional public show with mass ticket sales. One particularly fascinating detail: 🎸 During the performance, Sting played a rare 17th-century guitar originally made for the court of Louis XIV. It’s one of the most unusual elements of the entire project. He was accompanied by his long-time collaborator and friend, guitarist Dominic Miller. 📀 The official Sting store has already opened pre-orders for physical releases: • CD — $17.98 • Vinyl — $39.98 📅 Official release date: June 26, 2026 So yes — there is still life for those who want to experience its different dimensions: the real and the virtual.

⚡️ Fresh news from Kling! Motion Control just got a serious upgrade — now updated to version 3.0. What’s new: 🎭 Improved facial capture and motion tracking Expressions and body movement are now significantly more accurate and natural. 🧑‍🎨 Multi-reference character support Upload multiple references and generate a consistent character. Yes — technically you could turn yourself into some glamorous AI persona who earns millions on OnlyFans while you’re sleeping in a hammock somewhere on a warm beach. 🏝😄 📺 4K output support Higher resolution, cleaner frames, and better detail for production workflows. 🎁 Discounts and bonuses Kling is also running promotions and extra perks for fellow neuro-maniacs experimenting with AI video.

🎬 Working with AI is working with a tool — exactly the same way it works in cinema. From the outside, AI video looks like: ⚡️ “press a button — get a film.” But if you look inside the process, it becomes obvious: this is neither magic nor “automatic creativity.” It’s a tool. And the result depends entirely on how you work with it — just like with cameras 🎥, lighting 💡, actors 🎭, and editing ✂️ in traditional filmmaking. ⸻ In cinema, editors process enormous amounts of footage to assemble a film. Eddie Hamilton (editor of Mission: Impossible – Rogue Nation) once described the scale as roughly 250–300 hours of material, meaning a shooting ratio of at least 100:1. For certain sequences the numbers are even more extreme: • 12 hours of footage → 2 minutes 40 seconds (~270:1) • 15 hours of footage → 4 minutes (~225:1) ⸻ 💡 And here’s the key idea: AI works the same way. The difference is simply how the material is produced. You don’t organize a film set, but you still work through iterations 🔁. Again and again. You generate versions. You review results 👁. You discard weak outputs ❌. You keep the strongest ones ✅. You assemble them into a sequence that holds together and doesn’t fall apart. ⸻ 🤖 AI video is editing mindset in its purest form. Instead of camera takes, you have generation takes. And the core skill remains exactly the same: 🎯 selection and assembly. ⸻ Neural networks don’t eliminate the work. They change the form of the work. Quality still emerges from the same ingredients it always has: ✨ iterations ❤️ taste 👁 the discipline of careful review

This is exactly how I see the future of interacting with AI for content creation. Not typing prompts. Not tweaking sliders. But directing. Krea AI just released an iPad update that allows you to control generation using your voice. You speak — it generates. You adjust tone, lighting, composition, mood — verbally. The system reacts in real time. This shifts the dynamic from “prompt engineering” to something much closer to creative direction. Instead of: “/imagine cinematic lighting, 85mm lens, shallow depth of field…” You say: “Make it darker. More dramatic. Move the camera closer. Slow it down.” And the model understands. On a tablet. With touch + voice. In a fluid loop. This feels less like operating software and more like collaborating with an assistant. If this interaction model matures, the barrier between idea and execution shrinks even further. The real skill won’t be typing prompts. It will be thinking clearly and speaking precisely.

The Motion Picture Association (MPA) has reportedly expressed dissatisfaction with ByteDance’s proposal to introduce copyright safeguards into Seedance, calling for stronger compliance measures. Major studios — including Netflix, Warner Bros., Disney, Paramount, and Sony — have long taken firm positions on AI-generated content involving IP, likeness, and copyrighted material. Whether formal legal notices have been issued or not, the pressure is clearly building. The planned February 24 release of Seedance 2.0 has now been delayed. As expected, Hollywood — along with other major technology ecosystems — is not going to surrender its “oil rigs” that easily. Because this isn’t just about a model launch. It’s about control over: • intellectual property • digital likeness • production infrastructure • and the economics of storytelling The real battle is not AI vs cinema. It’s capital vs disruption.

🍌 Nano Banana 2 is already live in Weavy AI. weavy.ai And here’s the interesting part: 💰 The pricing is lower than the previous model — just 10 credits per generation. So now you’re getting: • stronger character consistency • better instruction adherence • up to 4K-ready outputs • Flash-level speed — at a reduced cost. That’s not just an upgrade. That’s strategic positioning. The competition in image generation is no longer only about quality. It’s about quality × speed × price. And this move shifts the balance.

Three years working with AI — and not a single boring week. 🍌 Nano Banana 2 is here 🍌 (Gemini 3.1 Flash Image) Here’s what the newest model brings — and how it improves over the original Nano Banana Pro: ⸻ 🎯 Stronger visual consistency Maintain likeness across up to five characters and preserve accurate rendering of up to 14 objects within a single workflow. This makes it far easier to build storyboards, sequences, and narrative scenes without faces or elements drifting between generations. ⸻ 🧠 Sharper instruction following The model now adheres much more strictly to complex prompts. It captures subtle nuances and layered instructions — meaning you’re far more likely to get exactly what you asked for, not a “creative reinterpretation.” ⸻ 🖼 Production-ready outputs Full control over aspect ratios and resolutions from 512px up to native 4K. Vertical social content? Wide cinematic backgrounds? High-res marketing assets? Handled natively — no awkward scaling compromises. ⸻ ✨ Improved visual quality Brighter, more controlled lighting. Richer textures. Sharper fine details. And it delivers all of this while keeping the speed expected from the Flash tier. ⸻ The pace isn’t slowing down. It’s accelerating.

Google is preparing Veo 3.2, and the big question now is: Will it surpass Seedance 2.0? At the same time, Google is refining the interface of its native platform Flow, turning it into a full-fledged AI-powered creative studio. The interface has been redesigned, and powerful new tools have been added to support a unified, seamless workflow. The direction is clear: This is no longer just about generating clips — it’s about building a structured production environment around AI. Instead of jumping between tools, creators will be able to: • generate • edit • refine • iterate • and export — all inside one continuous pipeline. If executed properly, Flow could evolve from a “video generator” into a complete AI-native production studio. Now the real competition begins: Veo 3.2 vs Seedance 2.0. Not just model vs model — but ecosystem vs ecosystem.

🚀 The movement begins. ByteDance is starting to release its latest models via API. Seedream 5 is already available: • in Weavy AI (via the “Import Model” node fal.ai/models/fal-ai/…) • and on Freepik 💰 Pricing: 10 credits What you get: • Multi-input references support • Native 2K and 3K resolution • Better consistency and structured outputs This isn’t just a quiet rollout. It’s infrastructure expansion. And now we wait for Seedance 2.0 — expected today or tomorrow. It’s already confirmed there will be two versions: • Light • Pro Which likely means: Light → wider access, faster rollout Pro → higher quality, higher control, possibly gated access The stack is forming. Images → API Video → imminent Distribution → global Let’s see how fast this escalates.

@Whizz_ai Ai

@craftian_keskin The next level is when I generate a whole series for myself for the evening

AI Advertisement is already here! I think we will wait a while for a high-quality long movie entirely made with AI, but with one reference image, which was made with NBP, you can create an advertisement in seconds with Seedream 2.0. No camera, no model, no lighting. Just prompts.