Shara I Ai Video Creator

Made an animated short with @videoduck_ai Same characters, same world, consistent across every single shot. Prompt below:

Made an animated short with @videoduck_ai Same characters, same world, consistent across every single shot. Prompt below:

@rich_odinn Capturing that exact aesthetic with AI is a genuinely hard thing to nail.

Jony Ive spent a career convincing the world that black backgrounds, subtle lighting, and one perfect animation say more than a hundred features ever could. Someone just got that exact aesthetic out of a single prompt. A luxury car rental site. Black screen. Headlights cut through mist at a 45-degree angle. Scroll down - a car assembles itself from four wheels, engine first, then the doors close, then the lights turn on. The kind of intro Ferrari's own agency would charge $50,000 for. Built by Fable 5 in 22 minutes. Here's the part everyone skips when they clip the demo: > before Fable 5 touched anything, the project was scaffolded like a real product → Next.js, real folders, a CLAUDE.md file, the boring setup nobody shows on camera > a brand kit locked in exact hex codes and button sizes → so the model builds like Ive obsessing over a bezel radius, not like a slot machine guessing colors > Higgsfield generated the car renders and video directly inside Claude Code → no separate tool, no manual asset hunting > Opus 4.6 did the thinking and planning first → cheaper tokens for the part that needed judgment > only then did Fable 5 take the wheel for the actual 22-minute build

@HuggingPapers One model matching several specialist models at once is a big consolidation.

GenCeption from Google DeepMind A single feed-forward vision model that matches specialist models on depth, surface normals, camera pose, keypoints & segmentation

@blizaine One free tool covering video, image, and audio is a solid all in one.

Maestro v1.1.3 is out! Maestro is a free, open-source creative studio that lets you generate videos, images, music, voices, and sound effects on your own computer without having to piece together a collection of complicated AI tools, using the latest open SOTA models. Director mode can take (or generate) a song or story idea, plan the scenes, generate the visuals and video clips, and assemble them into a complete music video or short film. New features • Linked Model Folders: point Maestro at your other installs (like Wan2GP) and reuse their checkpoints and LoRAs instead of re-downloading hundreds of GB. One-click scanning of your Pinokio apps, strictly read-only, and AI LoRA guides work on linked LoRAs too. • Krea 2 image models (Raw and Turbo). Quality and performance • Major quality fix for LTX-2 Dev and 10Eros: a leaked sampler setting was making output blurry and oversaturated. This was the root cause of the "Dev models look bad" reports. • The STG slider actually works now (it was silently doing nothing). • Performance Auto-Tune gives audio its own memory profile: cards with 12 GB+ VRAM now unlock the fast ACE-Step song decoder instead of a slow fallback. Re-run Auto-Tune after updating to pick this up. • ACE-Step song generation no longer looks like it hangs forever. The runaway progress counter was a display bug; it now reads honestly. Director mode • Regenerating a clip from the Pipeline Dashboard keeps the original song, conditioned on the exact segment of the soundtrack that clip covers. • Re-join works end to end: full-length clip reruns, original soundtrack overlaid, nothing drifts out of sync. • The gallery refreshes automatically when new clips or rejoined videos are saved. • Fixed bogus "Generate N missing" counts, broken start-image thumbnails, and LoRA recommendation colors showing wrong on some themes. Click the Update button in the Pinokio launcher.

@mov_nakanohito Repainting just part of a scene instead of redoing it all saves real time.

Seedance 2.5で仕事が一番変わるの、 たぶん「部分リペイント」です。地味だけど破壊力ある。 ▼何ができるか ・動画の"一部だけ"を差し替えられる（背景・色・小物） ・元のモーション、カメラ、ライティングはそのまま維持 ・つまり「丸ごと再生成」の地獄から解放される ▼現場でこう効く ・商品CMの背景だけ、白→屋外に差し替え ・口紅の色だけ変えて、全カラー展開を一発で ・クライアントの「ここだけ直して」に、即対応できる 今まで「1箇所直すために全部作り直し」でクレジット溶かしてた人、多いはず。私です。 ▼今できる準備 ・2.0と2.5はプロンプト・プロジェクトが基本互換 ・だから今のうちに2.0で型を作っておけば、そのまま移行できる みんなは"作り直し地獄"、経験ある？ #Seedance #AI動画 #生成AI #AI活用 #広告制作

@ModelsLabAI Twenty percent off makes this a good time to test the full range.

🚨 𝗞𝗹𝗶𝗻𝗴𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝟮𝟬% 𝗢𝗙𝗙 𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀𝗟𝗮𝗯. Everything you love about KlingAI now at 20% OFF. → Text to Video & Image to Video → Premium cinematic video quality → Smooth motion & realistic outputs → One API. Production-ready integration. 20% OFF. Same powerful KlingAI models. Limited-time offer. 🎬 Explore KlingAI Models 👉 modelslab.com/models/klingai

@Scenario_gg Pulling from everything you've made across formats is a smart approach.

We put a Genie in your workspace. No lamp required 🧞‍♂️ It taps into everything you've ever made across images, video, 3D, and audio, and puts all of it to work on whatever you create next. Describe what you want. It sets everything up, then generates, or you take over.

@aiDotEngineer @willccbb Going from a first appearance to a full unicorn round is a strong arc.

Congrats to PI on the unicorn round and $100M ARR! we were proud to have @willccbb introduce verifiers at the first AIE NYC a year ago and now... it is v1! Will joins a rare list of three-time AIE speakers, and his talk on the full PI stack is linked below!

@georgepickett @cerebras @cartesia Speed matters a lot more for voice agents than people assume.

Parallel Search Turbo is the fastest web search for voice agents. To show you just how fast it is, we built a voice agent using @cerebras and @cartesia Try it out: voice.paralleldemos.com

@AINativeF Weekly product data like that is genuinely useful to track.

📊 AI Native Product Insights - 2026W28 Analysis based on Product Hunt Weekly Leaderboard data. Follow @AINativeF for the latest insights on AI Native applications. This week's analysis covers: Sim ChatGPT Work PopTask for Apple Mispher On-Device Field Extraction by Veryfi Statement: Evaluation results are generated by AI, lack of data support, reference learning only.

@TechCrunch Localizing pricing for a market that size is a smart move.

Anthropic starts localizing Claude pricing for India, its biggest market after the US techcrunch.com/2026/07/13/ant…

@measure_plan Two minutes for a full stop motion scene is genuinely fast.

my video-to-stopmotion-animation app is almost ready for beta testers here's a solitaire animation i made in a total of 2 minutes (scene creation - editing - final export) the app auto-selects keyframes and also uses roboflow RF-DETR to remove frames with your hands showing, turning a single video into a final animation without manual editing work send me a DM if you'd like an invite to test the beta version

@davidfigeira Five hundred fifty videos a day is a serious production scale.

Clawdbot + MakeUGC V3 = 550 videos per day Fully-realistic UGC ads — cinematic lighting, human motion, perfect pacing — powered by AI agents. UGC cost: $0 Production time: minutes Scale: instant One AI engine that creates, tests, and scales short-form ads automatically — nonstop. It’s live. Campaigns are scaling now. Comment + RT “V3” and I’ll DM you the full workflow. (Must be following)

@Neuron_404 Turning two prompts into an income stream is wild but telling.

THIS GIRL DOESN'T EXIST - SHE WAS BUILT FROM TWO PROMPTS. NOW SHE MAKES MONEY. you don't have to draw or film a character. one photo becomes a new face, and a node workflow turns it into video. it is an easy way to try yourself as a producer, grow the model, and later chase ad contracts and earn from it. > find and save a "girl selfie" on pinterest > swap the face in nanobanana pro with a prompt > in crust create nodes: reference image, text, video > connect them, pick kling 2.6, duration, sound - generate a character no longer has to be real. it is two prompts and a few nodes. one pinterest selfie now becomes your own ai model on video. follow me so you don't miss out on trends in the world of ai.

@hitu_monke A chat window flying a drone is the actual interesting part here.

THE INTERESTING PART ISN'T THE AI DRONE VIDEO. IT'S THAT A CHAT WINDOW FLEW THE DRONE drop a few listing photos into claude, paste a camera-direction prompt, and out comes a smooth cinematic flyover of the property. no drone, no pilot, no shoot but claude didn't render that video. it can't it reached through an mcp connector to a separate video engine, handed it the photos and the shot list, and ran it like a tool. the model directed, the engine filmed that's the shift people keep skipping. claude isn't the thing that makes the footage, it's the thing that operates whatever makes the footage. the chat box became a control panel for engines it doesn't contain the skill used to be knowing how to shoot and cut the b-roll. now it's knowing how to point one interface at the right engine and describe the shot so it can't misread you the model stopped being the tool. it became the hand that picks up every other tool

@Oluwaphilemon1 Interesting that the polish held up even after switching models.

Tested GPT-5.6 and Claude Fable 5…One interesting takeaway from this test: The footage generated by Fable 5 still looks more polished overall. Even after carrying the project over to GPT-5.6, Fable's original visual quality and presentation stood out. It's a good reminder that combining frontier models can sometimes produce better results than relying on just one. Each brings different strengths to the workflow.

@slash1sol Connecting everything through one integration instead of juggling tools is smart.

A 31 YEAR OLD TURNED CLAUDE INTO HIS OWN AI VIDEO AGENCY WITH ONE INTEGRATION > Instead of juggling separate tools for prompts avatars and video generation he connected Claude directly to Higgsfield and started creating complete UGC ads from a single conversation. > The biggest shift is not another smarter model but giving AI access to real creative tools that can generate production ready marketing assets without leaving the chat. > The people learning AI integrations today will build agencies that move faster than teams still stitching together disconnected workflows. Bookmark & Learn this ↓

@Dork_sense One wrong detail forcing a full re-render is the real hidden cost.

AI film budgets are hard to predict. LLM spend scales with tokens. AI film spend scales with how many generations it takes to land a usable shot. One wrong detail can force a full re-render. So the budget depends less on runtime and more on your quality bar.

@GoogleDeepMind @antigravity Tracking a real historical thief through data is a genuinely cool use case.

Here’s how we used the Predicting the Past Skill in Google @Antigravity to track down a Roman ring thief, map an ancient cult across Europe, and reconstruct the networks of people visiting a Greek oracle. 🧵

@KanikaBK Improving something that influential without touching compute is impressive.

Wait..WHAT!! Andrej Karpathy built one of the most influential AI agent loops in the field. Two students from Hong Kong just made it 5x better without touching the model, without adding compute, and without any human guidance on what to fix. The paper is called Bilevel Autoresearch. 18 pages. Here is the idea that breaks your brain a little. Karpathy's loop has a problem. The LLM inside it keeps falling back to its priors. It proposes the same changes. Gets stuck in the same patterns. Explores the same directions it already knows. Their fix: put a second loop on top of it. ↳ Step 1: Inner loop runs and gets stuck repeating itself ↳ Step 2: Outer loop reads the inner loop's code and execution traces ↳ Step 3: Outer loop identifies exactly where the inner loop is stuck ↳ Step 4: Outer loop writes new search logic as Python and injects it live ↳ Step 5: Inner loop now searches differently, breaking its own patterns ↳ Step 6: Bad rewrites auto-revert so nothing breaks the pipeline The outer loop does not use a smarter model. It uses the same LLM. The improvement comes entirely from the bilevel architecture. On Karpathy's GPT pretraining benchmark the result is a 5x improvement. The outer loop pulled in techniques from combinatorial optimization, multi-armed bandits, and design of experiments without anyone specifying those mechanisms in advance. The AI found them itself by watching itself fail. Same model, budget and 5x better.