Kling AI

Kling AI AI

Kling AI AI

Kling AI AI

Kling AI AI

Kling AI AI

Kling AI AI

Kling AI AI

Kling AI AI

Kling AI AI

Kling AI AI

Can anyone tell me how this was made, I'm breaking my head but can't figure it out

This ai influencer has gotten me going crazy , how is this profile posting multiple reels a day all of same MID quality. I've thought of all the model they could be using but I can't recreate the same effect using ,comfyui REActor,inswapper, but it's quality doesn't match that of kling or higgsfield and it doesn't look completely animated either. So someone please help me deconstruct this workflow. The ai model itself is good but the overall video quality is sometimes good and sometimes bad. submitted by /u/DrALUCARD2 [link] [comments]

Experimenting with noir-style storytelling using Kling + ElevenLabs for AI workflow topics

https://reddit.com/link/1ua9g9m/video/d9bmofzg6a8h1/player Hi everyone, I work with legal and i got tired of the typical corporate AI explainer videos and decided to experiment with a different format since I've actually been working more with AI animation than actual AI implementations in the last month. So I created a short noir detective film to talk about a real problem in AI adoption: many companies think AI removes work, but it often just moves the bottleneck to review, verification, hallucinations, and risk checks. The video is one minute long. I used GPT Image 2 for the images (legit it's at least 50% of the work) Kling for animation, ElevenLabs for voice, and a mix of other tools + manual editing. It's not perfect (you can clearly see some AI artifacts), but I wanted to test if this kind of narrative style could make technical topics more memorable. I'm planning to do more episodes in different styles. Would love honest feedback from the community: - Does this kind of storytelling format work for explaining AI concepts? - Is it useful or just too gimmicky? - What other AI-related topics or bottlenecks would you like to see explored this way? Thanks in advance! Legit I had to compromise with a lot of the quality since I had only this week to work on this, so for a lot of shots I had to be ok with "good enough", I even added more inserts than I anticipated. Would love to read any feedback! submitted by /u/manuayala [link] [comments]

Anyone else just sticking to Nano Banana 2 + Kling 3.0 on Artlist?

Been using the Artlist AI Toolkit for a while now and honestly just camp out on Nano Banana 2 for image editing and Kling 3.0 for video. Between those two I can pretty much handle everything I need. The toolkit has a ton of other stuff: Veo 3.1, Flux 2.0, GPT Image 1.5, Sora 2, but I haven't felt a strong enough reason to branch out yet. Curious if anyone's actually putting the other models to work or if most people find their two or three go-tos and just stay there. Is Veo 3.1 actually worth trying alongside Kling? And does anyone use the voiceover tools or is that still rough around the edges? submitted by /u/shogunattila [link] [comments]

A SF house just went on sale priced in Anthropic stocks

The buyers these listings target are worth $10-100M+ on paper and senior anthropic engineers get stock grants worth millions annually. Anthropic employees have watched their equity compound through multiple funding rounds and they are still renting because the shares are private, locked and transfer restricted and paper wealth doesnt pay a mortgage. So the market found the workaround,sellers who believe in the AI trajectory take stock directly and buyers skip the liquidity problem so both sides get what they cant otherwise access.the listing agent at noe street said she kept running into buyers at open houses who wanted to buy but couldnt touch their equity yet. She went live and had overwhelming interest within 24 hours. The thing worth connecting here is that the IPO is expected this fall and when that liquidity actually unlocks, hundreds of millions of dollars of newly spendable wealth will be concentrated in one city .So the most powerful currency in the most expensive housing market in the country isnt dollars right now, Its stock in two companies that haven't had a public price yet What happens to the city if the IPOs disappoint?And whats next houses selling for api tokens of claude,kling,magichour or elevenlab in few years lol?? https://preview.redd.it/raylb079ok4h1.png?width=2293&format=png&auto=webp&s=5cf4614605eba4ddae783bdbd223334bddb9de3c submitted by /u/Healty_potsmoker [link] [comments]

Built an MCP server so Claude can generate music, images, and video natively. One config block.

I've been using Claude Code daily for the last few months and kept hitting the same wall: I'd ask Claude to produce a creative artifact (a song, a cover, a short video) and end up writing the API glue myself, then pasting results back into the chat. Felt backwards. So I built an MCP server around my AI generation platform. It exposes three tools to Claude: - aw_generate_music (Suno, full songs with lyrics or instrumental) - aw_generate_image (Z-Image Turbo, Wan 2.5 Spicy, Grok Imagine Quality, GPT-Image-2, Nano Banana 2, and others) - aw_generate_video (Kling 3.0 Standard/Pro/4K T2V + I2V, Wan 2.2, Hailuo 02, Seedance, Grok video) One key. One credit pool. The agent picks the right model for the prompt. Install: npm install -g u/aetherwave-studio/mcp Claude Code config (~/.config/claude/mcp.json or wherever yours lives): { "mcpServers": { "aetherwave": { "command": "npx", "args": ["-y", "@aetherwave-studio/mcp"], "env": { "AW_API_KEY": "aw_live_YOUR_KEY_HERE" } } } } Restart Claude. Done. Prompts that work end-to-end without any additional setup: "Generate a 60-second lo-fi track for a study playlist, then make me 3 album cover options in a retro Japanese print style." "Take this product photo and generate a 5-second cinematic intro video for the product launch." (drop the image in chat first) "Write the script for a 30-second ad about my SaaS, then generate the voiceover-friendly music bed and a matching motion-graphics opener." The agent decomposes, picks tools, runs them, hands you back the artifacts. Repo: https://github.com/AetherWave-Studio/aetherwave-mcp Dashboard + key: https://aetherwavestudio.com/developers Happy to answer questions about how I structured the tool schemas, what worked, what I'd do differently. v0.1.0, real users on it already, treating community feedback as the next steering signal. submitted by /u/Acrobatic-Result9667 [link] [comments]

Tested 4 AI video generation MCPs in claude for making short clips

Hello everyone, recently I saw a lot of AI, especially GenAI, MCPs being launched. Out of the ones that I had an opportunity to test there were 4 I could consider worth trying out. Higgsfield AI mcp. the model coverage and claude comping up with ready scenarios is the main reason. one connection gets you sora 2, veo 3.1, kling, seedance 1.5 pro, nano banana, soul id. I've been able to get some gems using this. The problem is that if Claude doesn't understand you properly it can come up with something absolutely random or choose the most expensive models. kubeez mcp. also goes wide on models, similar pitch to the previous: image, video, music, tts in one place. i used it for batch work where i needed audio + visuals from the same chat. runway mcp. narrower scope, deeper on gen-4 specifically, which is why I don't really use it. the keyframe and reference image handling is solid in comparison, others tend to lose it. elevenlabs mcp. not video but i'm including it because every video workflow needs voiceover and this is the one that actually works end-to-end. claude writes the script, picks the voice, generates the audio. pairs well with any of the above. you will need it very frequently if you don't know/can't handle proper audio generation using higgsfield or runway. stack i settled on: higgsfield for the visuals, elevenlabs for better voiceover. what video mcps am i missing? happy to hear opinions submitted by /u/Mediocre-Witness-778 [link] [comments]

OpenAI cofounder Andrej karpathy just joined anthropic and the talent war is officially over

this happened literally today ,andrej karpathy one of the most respected ai researchers alive nd the guy whose youtube lectures taught half the developers in this sub how neural networks work, just announced he is joining anthropic's pre training team. He's the 3rd senior openai figure to defect to anthropic in under two years. Jan leike left in may 2024, John schulman (co-founder) left in august 2024 and now karpathy. He is joining the pre training team under nick josef and building a new team focused on using claude to accelerate pre training research which means Anthropic is betting that claude can help make itself smarter, thats recursive self improvement with one of the most capable researchers in the world leading it. The musk trial verdict came in yesterday with the jury ruling in altman's favor, karpathy announces today voilaa . The timing is either coincidental or the most savage talent acquisition move in tech history. I hv been watching this trajectory while building my own workflows on claude ,every month the ecosystem around claude gets stronger. The connectors mean claude orchestrates professional creative tools natively, the api means platforms like magic hour and kling can plug video generation capabilities into claude powered pipelines, the finance templates mean entire industry workflows run through claude and now the guy who built tesla's self driving stack is making the pre training better. Polymarket gives anthropic 67.5% chance of going public before openai and i too think its ipo will be more successfull than openai what's everyone's read on what karpathy specifically brings to claude's pre training? submitted by /u/Healthy-Challenge911 [link] [comments]

How to Create Viral Stadium Fan Cam Storyboards with GPT Image 2? Prompt Below!

This was one of the most realistic storyboard styles I’ve generated recently with GPT Image 2. The goal was to recreate the feeling of a real televised football broadcast mixed with cinematic commercial production — authentic crowd emotion, live camera imperfections, shallow telephoto depth of field, broadcast overlays, and natural sponsor integration. What makes this style work so well: realistic stadium crowd energy sports TV broadcast aesthetics cinematic advertisement framing emotional candid reactions ultra realistic lighting and skin texture natural product placement that feels like a real sponsorship commercial The storyboard panels can later be animated inside Seedance, Kling, Veo, or similar AI video tools to create a full fan-cam style commercial sequence. Tools used: GPT Image 2 → storyboard generation Seedance / Kling → animation & motion Prompt: "Hyper-realistic cinematic storyboard sheet for a 15-second sports broadcast commercial, beautiful stylish woman with natural blonde wavy hair wearing a cream sleeveless turtleneck knit top and pearl earrings sitting naturally among real football audience inside a packed stadium, yellow and blue fans cheering in background, realistic live sports broadcast camera perspective, authentic stadium lighting, soft cinematic blur, realistic skin texture and facial details, natural candid expressions, she watches the football match intensely while holding a blue Japanese premium beverage can naturally in her hand, realistic crowd interaction, broadcast scoreboard overlays, sports network watermark, smooth TV-commercial camera shots, ultra realistic photography style, documentary sports coverage aesthetic, realistic depth of field, live match atmosphere, product integrated naturally like real sponsorship footage, final shot close-up where she smiles and blows a flying kiss toward the camera, emotional crowd energy, cinematic realism, premium advertisement production storyboard layout, professional shot sequence panels, real broadcast feeling, highly detailed realistic storyboard sheet --ar 16:9" Would love to see more people experimenting with this format. submitted by /u/DataGirlTraining [link] [comments]

All-in-one AI platforms are quietly taking over end-to-end production. Thoughts?

Posters, trailers, full episode lists, even a Cannes slot lined up this year. Watched on Higgsfield 1-2 of them and was impressed, while some still looked a little bit like slop. The interesting part isn't the AI-Netflix angle though. It's that one platform did the whole thing end to end: character consistency, generation, multi-shot sequencing, audio, distribution. No 5 different tools, no Premiere stitching 47 clips together. Meanwhile Kling, Runway, Veo are all racing to perfect a single model. Higgsfield is quietly building the entire production stack under one roof. Is vertical integration the actual moat in AI video, or are single-model specialists still going to win on quality? Curious where people think this is heading. submitted by /u/BrainTool117 [link] [comments]

At what point do we stop calling ai generated video slop

I think we passed the line and most people haven't noticed two years ago slop was generous and a year ago sora dropped and quality jumped but everything still had that uncanny wobble where hands melted slop was still accurate. Have you seen what's coming out now though? animated studios are reportedly considering switching to ai generated animation because it drops production costs from $500k to under $100k. Netflix just acquired an ai content company, disney confirmed ai will play a significant role in content production going forward. these aren't creators experimenting, these are the companies that define what quality means for a billion people. On the commercial content side it's already happened quietly. I produce short form video for brands using a mix of ai tools, kling for generation, magic hour for face swaps, capcut for touch ups. sent a client 20 social videos last week and she said "love these" ,they dont care if it ai ,they just want outcome fast. the trick that changed everything is that nobody's using raw text to video as the final output anymore. you layer capabilities and the combined output looks fundamentally different from type a prompt and pray i think "slop" is doing two things right now ,one is legitimate quality criticism for genuinely bad output which still exists. The other is a defense mechanism because admitting the output is commercially viable means admitting something uncomfortable about what human creators are competing against. If a viewer can't tell so the algorithm doesn't care and the commercial results are identical, is it still slop? submitted by /u/Tough_Commercial_103 [link] [comments]

Used image-gen-2 to generate stylized keyframes for an AI video. Combined with Kling 3 to make this continuous reel of me across different drawing styles.

submitted by /u/phoneixAdi [link] [comments]

I built a hands-free voice AI that sends emails mid-conversation — and that's just one feature. Here's everything AskSary can do.

https://reddit.com/link/1symbsj/video/k2no3zfgq1yg1/player Been building AskSary solo for a while. Just shipped hands-free voice email - you're mid-conversation with an AI and you say "send an email to [john@example.com](mailto:john@example.com) subject X body Y" and it pre-fills the Gmail modal automatically. One tap sends. Powered by OpenAI Realtime API, works in 22 languages. But that's just the latest feature. Here's the full picture: Every major model in one place GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Grok 4, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual override. Pro-Active Personalisation On every login the AI reads your previous conversations and sends the first message itself - asking if you want to continue or start fresh. Before you type a single word. Persistent Cross-Model Memory Start a conversation with Claude on your phone, open your laptop, switch to GPT-5.2 - it already knows what you discussed. No copy-pasting, no summaries. Just works. Knowledge Base - RAG Upload docs up to 500MB per file, unlimited uploads, chat with them across any model via OpenAI Vector Store. Your files stay in context forever. Integrations Google Drive, Gmail, Google Calendar, Notion - access files, get email and calendar summaries, use them in chat or push them to your Knowledge Base. Generation Tools Image Gen - GPT-Image-1 and Nano Banana Pro Flux Image Editor - full editing suite with visual history Video Studio - Luma Dream, Veo 3.1, Kling 1.6 / 2.6 / 3, up to 10 second AI videos with audio Music Studio - 30 second tracks with custom or AI lyrics via ElevenLabs, visualizer built into chat 3D Model Studio - Meshy with STL export (deploying soon) Video Analysis - upload up to 500MB or paste a YouTube link Developer and Builder Tools Vision to Code - screenshot any UI, get live editable code Web Architect - build full web apps from a single prompt Game Engine - build and prototype games with AI Code Lab - split screen live coding with SQL Architect, Bug Buster, Git Guru, Regex Generator, Test Genie and more Tavily web search across all models Voice and Audio Real-time 2-way voice chat - 8 voices, near-zero latency WebRTC Podcast Mode - two AI voices, switchable, near-zero latency, downloadable as MP3 Voiceover Studio, Voice Notes, Voice Tuner Productivity and Content Slides, Docs and File Tools Pro Writer and Content Library Social Tools - Hook Generator, Video Script, Hashtag Creator, Idea Spark Business Suite - Pitch Deck Builder, Deep Analytics, Legal Eagle, Maths Solver Daily Briefing and Market Watch CV Creator, Email Polisher, Cover Letter Builder, TL;DR Bot Share conversations or snippets with anyone Platform Extras 30+ live interactive wallpapers and themes Custom Agents and Personas Folder organisation and Smart Search across chat history Media Manager Gallery - all your generated content in one place Fully customisable UI in 26 languages with full RTL support The Stack Frontend: Next.js, Capacitor (iOS + Android), Vanilla JS / React Backend: Vercel serverless, Firebase / Firestore, Firebase Admin SDK AI: OpenAI, Anthropic, Google, xAI, DeepSeek Generation: Luma AI, Kling via Replicate, Veo via Replicate, ElevenLabs, Flux via Replicate, Meshy Integrations: Google Drive, Notion, Tavily, OpenAI Vector Store, Stripe, CloudConvert, Sentry Rendering: Mermaid, MathJax Platforms: Web, iOS, Android, Apple Vision Pro What you get free just for creating an account (1,000 credits/month, rolling): Unlimited chat on GPT-5 Nano, Gemini Flash and DeepSeek V3 - no daily limits, zero credit charge 25 image generations via GPT-Image-1 and Nano Banana Pro - 40 credits each 8 image edits via Flux Studio - 80 credits each 2 song generations via ElevenLabs - 350 credits each 2 video generations via Luma Dream and Kling - 350 credits each ~70 messages on Claude Sonnet 4.6, GPT-5.2, Grok 4, Gemini 3.1 Pro and DeepSeek R1 - 15 credits each No credit card required. Built entirely solo. No CS degree, no team, no funding. Started because I asked an AI to build me a chatbot and it failed - so I built my own. Accepted to LEAP 2026 in Saudi Arabia along the way. Happy to answer anything about the build. asksary.com submitted by /u/Beneficial-Cow-7408 [link] [comments]

I built a solo AI platform from Bahrain with no funding, no team and no ad spend - here's what's inside it after 4 months

https://reddit.com/link/1sxotqx/video/xlaqd9i8guxg1/player I'm a self-taught developer, 39 years old, based in Bahrain. Four months ago I started building AskSary - a multi-model AI platform with a persistent memory layer that sits above all the models. The core idea: the model is not the identity. Most AI tools lose your context the moment you switch models. I built the layer that remembers you across all of them. Here's what's shipped so far: Models & Routing Every major model in one place - GPT-5.2, Claude Sonnet 4.6, Grok 4, Gemini 3.1 Pro, DeepSeek R1, O1 Reasoning, Gemini Ultra and more - with smart auto-routing or manual override. Memory & Context Persistent cross-model memory. Start with Claude on your phone, switch to GPT on your laptop - it already knows what you discussed. Proactive personalisation that messages you first on login before you've typed a word. Integrations Google Drive and Notion - connect once, pull files and pages directly into chat or your RAG Knowledge Base. Unlimited uploads up to 500MB per file via OpenAI Vector Store. Video Analysis - Gemini native video understanding for YouTube URL analysis (no download required, processed natively) and direct file upload up to 500MB. Full breakdown of visuals, audio, dialogue, editing style and key moments. Generation Image generation and editing, video studio across Luma, Veo and Kling, music generation via ElevenLabs, video analysis via upload or YouTube URL. Builder Tools Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect, Bug Buster, Git Guru and more. Tavily web search across all models. Voice & Audio Real-time 2-way voice chat at near-zero latency, AI podcast mode downloadable as MP3, Voiceover, Voice Notes, Voice Tuner. Platform Custom agents, 30+ live interactive themes, smart search, media gallery, folder organisation, full RTL support across 26 languages, iOS and Android apps, Apple Vision Pro. Where it is now 129 countries. Currently at 40 new signups a day. 1080 Signup's so far after 4 weeks or so. MRR just started. Zero ad spend. All of it built solo, one feature at a time, on a balcony in Bahrain. The Stack: Frontend - Next.js, Capacitor (iOS and Android) and Vanilla JS / React Backend - Vercel serverless functions, Firebase / Firestore (database + auth) and Firebase Admin SDK AI Models - OpenAI (GPT, GPT-Image-1), Anthropic (Claude), Google (Gemini), xAI (Grok), DeepSeek Generation APIs - Luma AI (video), Kling via Replicate (video), Veo via Replicate (video), ElevenLabs (music), Flux via Replicate (image editing), Meshy (3D — coming soon) Integrations - Google Drive (OAuth 2.0), Notion (OAuth 2.0), Tavily (web search), OpenAI Vector Store (RAG), Stripe (payments), CloudConvert (document conversion), Sentry (error tracking), Formidable (file handling) Rendering - Mermaid (flow charts) and MathJax Platforms - Web, iOS, Android, Apple Vision Pro (visionOS) Languages - 26 UI languages with full RTL support asksary.com Happy to answer questions on any part of the build - stack, architecture, API cost management, anything. submitted by /u/Beneficial-Cow-7408 [link] [comments]

two years ago this sub had 12k members asking "is claude better than chatgpt for writing" and now the company is worth a trillion dollars

I joined this sub when claude 3 opus dropped and it was a completely different world in here, small group of people who'd stumbled onto something that felt genuinely different from chatgpt and couldn't shut up about it. The posts were stuff like "did anyone else notice claude actually admits when it doesn't know something" and "i think anthropic might be onto something here" loll yesterday google committed $40 billion, amazon committed $25 billion the same week and revenue went from $1 billion to 30 billion in fifteen months which is apparently the fastest growth in american tech history. Secondary market says a trillion dollars and eight of the fortune 10 are customers, the tool we were geeking out about in a tiny subreddit is now arguably the most important ai product in the world and i'm still processing that I'm not trying to brag about being early because being early got me exactly nothing except a tool i love using and talk about too much at dinner parties. I'm writing this because i think this community deserves a moment and this sub was one of the first places where people figured out what claude could actually do in practice, people here were sharing creative pipelines, coding workflows and research systems openly before the enterprise market caught on. My own story is tiny compared to some of yours but it means everything to me, i do video content production and when i found this sub someone here posted about using claude to redesign their creative workflow and i tried the same thing and ended up in a conversation where claude basically told me my problem wasn't my tools it was my architecture,it helped me audit everything i was paying for separately across runway, topaz, heygen, kling, a headshot tool i used twiceand consolidate most of it into magichour, then connect the pipeline to remotion for automated editing. That single conversation saved me roughly $120 a month and cut my production time by 40%. I went from billing $3k a month doing everything manually to $14k a month as a one person studio and claude was involved in almost every step of that growth But honestly my story isn't the pointm hundreds of people in this sub have stories like this and collectively those stories are part of why anthropic is where it is today, the use cases now generating $30 billion in revenue started as experiments shared in communities exactly like this one. The part of the news i care about most as a daily user isn't the valuation it's the 10 gigawatts of new compute capacity. Every single person in this sub has hit rate limits midthought and wanted to throw something, if $73 billion in combined investment means i stop seeing "you've reached your limit" during a client deadline then the entire deal is justified and i will personally write dario a thank you letter haha I m trying not to get ahead of myself about what this means long term because historically when startups become megacorps the product changes and not always for the better but right now in this moment i just feel grateful i found this tool and this community when i did what's your claude story, curious when you joined and what changed for you because i think today's a good day to share those

Built a multi-model AI platform with real-time WebRTC voice, persistent cross-model memory, and a full generation suite - free account gets 1 min voice/month

https://reddit.com/link/1sutga7/video/ktd3pxcam7xg1/player I've been building AskSary for the past few months - a multi-model AI platform - and just shipped real-time 2-way voice chat powered by OpenAI's WebRTC API. The visualization reacts to your voice in real time: 180 radial frequency bars orbit a glowing orb, 280 particles drift across a full-screen canvas, aurora sweeps and ripple waves emit on voice peaks, and the whole thing color-shifts from cool blue (listening) to warm violet (speaking). Near-zero latency, 8 voice options. Anyone with a free account at asksary.com gets 1 minute of real-time voice every month to try it out - no credit card needed. The platform also has a lot more built around it if you're curious: Models - GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, Grok 4, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual selection Memory and context - Persistent cross-model memory. Start on mobile with Claude, switch to GPT-5.2 on desktop and it already knows the conversation. Plus proactive personalization: on every login the chatbot reads your previous sessions and opens with a message asking if you want to continue - before you type anything. RAG - Upload docs up to 500 MB each, unlimited uploads, chat with them across any model via OpenAI Vector Store Generation - GPT-Image-1, Nano Banana Pro + Flux editor with visual history, Video Studio (Luma, Veo 3.1, Kling), Music Studio with ElevenLabs and in-chat visualizer, 3D Model Studio with STL export (coming soon) Builder tools - Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect / Bug Buster / Git Guru and more Voice and audio - Real-time chat, Podcast Mode (two AI voices, downloadable MP3), Voiceover, Voice Notes, Voice Tuner Productivity - Slides, Docs, Pro Writer, Social tools, Business Suite, CV Creator, Daily Briefing, Market Watch Platform - 30+ live wallpapers, Custom Agents, Folder org, Smart search, Media Gallery, 26 languages + RTL, fully customizable UI Happy to answer questions about the WebRTC implementation or anything else. Would love to hear what you think of the voice visualization. submitted by /u/Beneficial-Cow-7408 [link] [comments]