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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

Leo ☄️

151,533 subscribers

39,640 次观看 • 7 个月前 •via X (Twitter)

#Dreamina #Dreaminapartner #posterdesign

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PhD Students - How to create a scientific figure in seconds? Follow these 3 simple steps. 1. Go to 2. From the left menu, select figure generation 3. Enter the requirements of your diagram. - Noah AI will create a perfect figure for you. - For creating figure, NOAH first searched the literature - Then properly generated the figure. - So, it’s grounded in research, not just drawing. - You can download it as PNG. The figures NOAH AI creates are not ordinary figures. - It offers unique features - Re-create figures based on upload image/data - Matches the journal/visual style - Keep consistency across diagrams - Searches PubMed and related sources for figures - Aligns visuals with users’ needs Try it today for FREE: Every user gets a free quota to generate figures.

PhD Students - How to create a scientific figure in seconds? Follow these 3 simple steps. 1. Go to 2. From the left menu, select figure generation 3. Enter the requirements of your diagram. - Noah AI will create a perfect figure for you. - For creating figure, NOAH first searched the literature - Then properly generated the figure. - So, it’s grounded in research, not just drawing. - You can download it as PNG. The figures NOAH AI creates are not ordinary figures. - It offers unique features - Re-create figures based on upload image/data - Matches the journal/visual style - Keep consistency across diagrams - Searches PubMed and related sources for figures - Aligns visuals with users’ needs Try it today for FREE: Every user gets a free quota to generate figures.

Faheem Ullah

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🎥 Introducing Hailuo's Subject Reference: Revolutionizing Character Consistency in Video Creation 🔥 We’re excited to present Hailuo's S2V-01 model, a groundbreaking innovation in AI video generation that tackles one of the industry’s biggest challenges: maintaining consistent, realistic facial features and identity across dynamic video content, regardless of camera angles or movements. 💡 Why It’s a Game Changer: - Pioneering Technology: The first-of-its-kind to ensure character consistency in dynamic video generation, surpassing even fine-tuned models in performance. - Minimal Input, Maximum Impact: Generate character-consistent videos from just one reference image. Every frame remains true to the original identity with unmatched accuracy and reliability. - Enhanced Flexibility: Adjust more than just facial features—modify posture, expressions, lighting, and more, all with simple text-based prompts. 🌟While the new model enhances subject consistency, it may occasionally follow prompts less precisely than T2V or I2V, with some environmental morphing. Despite these early-stage challenges, Hailuo Subject Reference marks a significant leap in AI video generation. We’re committed to continual improvements including multi-subject references, objects references, and complex, multi-layered scenes. Explore the future of creative, consistent video production with Hailuo S2V-01 today. 🔥We believe the possibilities are endless.

🎥 Introducing Hailuo's Subject Reference: Revolutionizing Character Consistency in Video Creation 🔥 We’re excited to present Hailuo's S2V-01 model, a groundbreaking innovation in AI video generation that tackles one of the industry’s biggest challenges: maintaining consistent, realistic facial features and identity across dynamic video content, regardless of camera angles or movements. 💡 Why It’s a Game Changer: - Pioneering Technology: The first-of-its-kind to ensure character consistency in dynamic video generation, surpassing even fine-tuned models in performance. - Minimal Input, Maximum Impact: Generate character-consistent videos from just one reference image. Every frame remains true to the original identity with unmatched accuracy and reliability. - Enhanced Flexibility: Adjust more than just facial features—modify posture, expressions, lighting, and more, all with simple text-based prompts. 🌟While the new model enhances subject consistency, it may occasionally follow prompts less precisely than T2V or I2V, with some environmental morphing. Despite these early-stage challenges, Hailuo Subject Reference marks a significant leap in AI video generation. We’re committed to continual improvements including multi-subject references, objects references, and complex, multi-layered scenes. Explore the future of creative, consistent video production with Hailuo S2V-01 today. 🔥We believe the possibilities are endless.

Hailuo AI-MiniMax Hub

692,515 次观看 • 1 年前

Announcing Gemini 2.5 Flash Image! (Nano Banana) from Google DeepMind. This model brings you state of the art image generation! Here's 7m of demos. Today marks a leap forward in AI-powered image creativity with the launch of stronger native image generation and editing in Gemini 2.5 Flash. Here's what's new: 👤 Consistent character design: Maintain a character's identity across multiple images, changing their outfits, poses, and scenes without losing their core look. 🎨 Creative composition: Seamlessly merge elements from up to three different images into a single, cohesive masterpiece. The potential for surrealist art and unique compositions is endless. ✍️ Targeted edits with natural language: Go beyond the prompt. You can now make highly specific edits like "change the background," "restore this faded photo," or "edit the character's outfit" with simple commands. ✨ Design & identity adaptation: Apply a specific style, texture, or pattern from one image to another, unlocking new possibilities for fashion, product design, and architectural visualization. I've put together a ~7-minute video demo to walk you through these features and show just how powerful they are in action. We can't wait to see what you all create! Try the model out in Google AI Studio, Gemini app or the Gemini API.

Announcing Gemini 2.5 Flash Image! (Nano Banana) from Google DeepMind. This model brings you state of the art image generation! Here's 7m of demos. Today marks a leap forward in AI-powered image creativity with the launch of stronger native image generation and editing in Gemini 2.5 Flash. Here's what's new: 👤 Consistent character design: Maintain a character's identity across multiple images, changing their outfits, poses, and scenes without losing their core look. 🎨 Creative composition: Seamlessly merge elements from up to three different images into a single, cohesive masterpiece. The potential for surrealist art and unique compositions is endless. ✍️ Targeted edits with natural language: Go beyond the prompt. You can now make highly specific edits like "change the background," "restore this faded photo," or "edit the character's outfit" with simple commands. ✨ Design & identity adaptation: Apply a specific style, texture, or pattern from one image to another, unlocking new possibilities for fashion, product design, and architectural visualization. I've put together a ~7-minute video demo to walk you through these features and show just how powerful they are in action. We can't wait to see what you all create! Try the model out in Google AI Studio, Gemini app or the Gemini API.

Addy Osmani

159,059 次观看 • 10 个月前

✅ UK Dairies Confirmed as Bovaer‑Free (Directly supported by the search results) 1. Edwards Dairies (UK) ✔ Publicly confirmed Bovaer‑free ✔ Independent, traditional production ✔ Not part of Arla, Müller, or supermarket supply chains 2. G&S Dairies (UK) ✔ Publicly confirmed Bovaer‑free ✔ Small, independent, transparent supply chain These two are the only UK dairies explicitly named in the search results as having confirmed Bovaer‑free status. 🟩 Certified Organic Dairies (Guaranteed Bovaer‑Free) Organic standards prohibit synthetic feed additives, including Bovaer. This is explicitly stated in the search results: “Certified organic milk from any producer is guaranteed to be Bovaer‑free.” This means every UK organic dairy is automatically Bovaer‑free, including: Yeo Valley Organic OMSCo (Organic Milk Suppliers Cooperative) Riverford Dairy Daylesford Organic Berkeley Farm Dairy (Organic range) Calon Wen Organic (Wales) Duchy Organic (Waitrose) Any local farm selling certified organic milk If it is certified organic, it is 100% Bovaer‑free. 🟦 Small Local Dairies (Very Likely Bovaer‑Free) The search results emphasise that: “Small, independent, and local dairies are often the most reliable sources for Bovaer‑free milk.” Why? Because they: Don’t participate in Arla trials Don’t supply supermarkets Use traditional feed Are transparent with customers Examples (not explicitly named in the search results but consistent with the criteria): Local farm‑gate milk vending machines Micro‑dairies selling raw or pasteurised milk Family‑run herds supplying village shops Non‑organic but additive‑free small farms These are almost always Bovaer‑free unless they explicitly join a methane‑reduction trial (rare). 🟥 Brands to Avoid if You Want Bovaer‑Free Milk “Large multinational dairy companies like Arla Foods are involved in Bovaer trials… avoid their affiliated brands.” This includes: Arla (all standard milk) Supermarket own‑brand milk supplied by Arla Any retailer participating in Arla trials (Tesco, Aldi, Morrisons, M&S) These are the most likely to shift to Bovaer Milk as standard. VERY SOON...

Pete Sanford

10,732 次观看 • 1 个月前

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you *direct* the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you direct the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

Kuria | AI

43,685 次观看 • 2 个月前

I’m not a 3D artist, but I had so much fun today testing Slop Unbound and creating cute creatures and models for the first time It’s FREE, experimental, easy to play with, and honestly, one of the most fun ways I’ve used AI for visual creation because you get real control instead of just prompting and hoping for the best You do not need to rely only on Blender anymore AI can simplify your workflow and make 3D creation feel much more accessible If you are into 3D art, character design, or just curious about new creative tools, you should absolutely test it. It’s fast, fun, and surprisingly addictive I’ll share more in the coming days, but for now, go try it yourself for FREE and share your results. I think you’re going to love it, link in the first comment 👇🏻

I’m not a 3D artist, but I had so much fun today testing Slop Unbound and creating cute creatures and models for the first time It’s FREE, experimental, easy to play with, and honestly, one of the most fun ways I’ve used AI for visual creation because you get real control instead of just prompting and hoping for the best You do not need to rely only on Blender anymore AI can simplify your workflow and make 3D creation feel much more accessible If you are into 3D art, character design, or just curious about new creative tools, you should absolutely test it. It’s fast, fun, and surprisingly addictive I’ll share more in the coming days, but for now, go try it yourself for FREE and share your results. I think you’re going to love it, link in the first comment 👇🏻

Amira Zairi

32,890 次观看 • 3 个月前

For 40 years the file browser hasn’t changed. Today, we’re launching with $8 million in seed funding to rebuild the file browser into something more intelligent, searchable, and delightful. The world is in the middle of a data explosion. We’re generating and using more files than ever, but the apps we’re using to manage our files don’t even understand them. It’s time for file browsers to become useful. When you search for “dog”, it should show you content with dogs in it, not just files with “dog” in the name! When you want to edit, convert, summarize, or organize a file, your browser should do that, too. Your files tell the story of your life, but when you need a specific one, you usually can’t even find it anymore. Why can’t your file browser find it for you, or cross-reference it when you have a question? Prompting can give an LLM a million tokens of context. With Poly, you can give it the next trillion. As long as we can afford it, all new users receive 100GB of free cloud storage. We can’t wait for you to try it out!

For 40 years the file browser hasn’t changed. Today, we’re launching with $8 million in seed funding to rebuild the file browser into something more intelligent, searchable, and delightful. The world is in the middle of a data explosion. We’re generating and using more files than ever, but the apps we’re using to manage our files don’t even understand them. It’s time for file browsers to become useful. When you search for “dog”, it should show you content with dogs in it, not just files with “dog” in the name! When you want to edit, convert, summarize, or organize a file, your browser should do that, too. Your files tell the story of your life, but when you need a specific one, you usually can’t even find it anymore. Why can’t your file browser find it for you, or cross-reference it when you have a question? Prompting can give an LLM a million tokens of context. With Poly, you can give it the next trillion. As long as we can afford it, all new users receive 100GB of free cloud storage. We can’t wait for you to try it out!

Abhay Agarwal

1,776,712 次观看 • 8 个月前

I couldn't believe it. One product image = a full video ad with Wizstar. No script. No shoot. No editor. Just the image, one sentence of instruction, and Wizstar did everything else. It analyzes your product automatically, builds the scene around it, and generates a complete marketing video. Character stays consistent across every shot. Product details stay accurate. Audio and video sync perfectly. It powers multi-model invocation to match any style you need, and Seedance 2.0 supports face input for consistent character generation. But wait, it gets better. You can also upload any viral video from TikTok or Amazon. Then it will recreate that EXACT winning formula for YOUR product. No more guessing what works. Zero creative trial and error. Make a video today, start seeing sales in 7 days. New users get free credits on signup. First subscription is only $19 and includes a 30-second E-commerce Agent experience. Try it here: Who's making their first ad tonight? 👇 #Wizstar #AIVideo #EcommerceMarketing

I couldn't believe it. One product image = a full video ad with Wizstar. No script. No shoot. No editor. Just the image, one sentence of instruction, and Wizstar did everything else. It analyzes your product automatically, builds the scene around it, and generates a complete marketing video. Character stays consistent across every shot. Product details stay accurate. Audio and video sync perfectly. It powers multi-model invocation to match any style you need, and Seedance 2.0 supports face input for consistent character generation. But wait, it gets better. You can also upload any viral video from TikTok or Amazon. Then it will recreate that EXACT winning formula for YOUR product. No more guessing what works. Zero creative trial and error. Make a video today, start seeing sales in 7 days. New users get free credits on signup. First subscription is only $19 and includes a 30-second E-commerce Agent experience. Try it here: Who's making their first ad tonight? 👇 #Wizstar #AIVideo #EcommerceMarketing

Pradeep Pandey

59,917 次观看 • 1 个月前

FLUX 2.0 just dropped. And it’s one of the strongest image models of 2025. In our latest video, we break down what makes FLUX 2.0 so powerful and why creators are paying close attention to it. ⁠ Here’s what stands out: Accurate HEX color control You can specify exact HEX values inside your prompt. You get precise palette consistency without guesswork. ⁠ Structured prompting with JSON FLUX 2.0 is tuned for JSON based prompts. That means predictable composition, steadier outputs, and tighter creative control. ⁠ Photorealism and lighting accuracy Reflections, skin texture, shadows, small details, and challenging lighting setups now render with a level of clarity that looks close to real photography. ⁠ Complex scene understanding You can describe multi-element environments and FLUX 2.0 handles spatial relationships with stronger coherence and stability. ⁠ Better anatomy, hands, and facial detail Human subjects look cleaner, more natural, and more consistent across shots. ⁠ Image to image style control You can feed a reference and FLUX 2.0 matches mood, framing, texture, or atmosphere with surprising precision. ⁠ If you want a real look at what FLUX 2.0 delivers, watch the full breakdown here.

FLUX 2.0 just dropped. And it’s one of the strongest image models of 2025. In our latest video, we break down what makes FLUX 2.0 so powerful and why creators are paying close attention to it. ⁠ Here’s what stands out: Accurate HEX color control You can specify exact HEX values inside your prompt. You get precise palette consistency without guesswork. ⁠ Structured prompting with JSON FLUX 2.0 is tuned for JSON based prompts. That means predictable composition, steadier outputs, and tighter creative control. ⁠ Photorealism and lighting accuracy Reflections, skin texture, shadows, small details, and challenging lighting setups now render with a level of clarity that looks close to real photography. ⁠ Complex scene understanding You can describe multi-element environments and FLUX 2.0 handles spatial relationships with stronger coherence and stability. ⁠ Better anatomy, hands, and facial detail Human subjects look cleaner, more natural, and more consistent across shots. ⁠ Image to image style control You can feed a reference and FLUX 2.0 matches mood, framing, texture, or atmosphere with surprising precision. ⁠ If you want a real look at what FLUX 2.0 delivers, watch the full breakdown here.

There's An AI For That

27,286 次观看 • 7 个月前

Why use the regular Twitter (X) app, YouTube, or Google app—when you could be earning Pi just by visiting your favorite websites through the Pi Browser? This is the cheat code every true Pioneer should know. Every time you use the Pi Browser to explore the internet, you’re not just browsing—you’re supporting the Pi Network ecosystem and contributing to the future of Web3. The Pi Browser isn’t just another tool. It’s a gateway—a revolutionary bridge between Web2 and Web3. While others are stuck using outdated apps that give nothing back, Pioneers are earning real value, real utility, and building the foundation of a decentralized digital economy. Think about it: •Why scroll on X (Twitter) for free when you could be scrolling and earning? •Why watch videos on YouTube without benefit when you could be part of a network that rewards your engagement? •Why search the web without purpose when Pi Browser turns your actions into economic participation? This is the mindset shift. This is how early adopters win. Pioneers don’t wait for the future—they create it. Every tap, scroll, and click through the Pi Browser fuels a new kind of internet—where you own your data, your time, and your value. So, next time you go online, ask yourself: Am I just consuming? Or am I building the future of Web3 with Pi? Choose smart. Choose purpose. Choose the Pi Browser. Because this isn’t just browsing—it’s a revolution. Check your Utilities bonus in the Pi app if you’ve been using the Pi Browser, and see how much bonus you’ve earned! Pi Network Nicolas Kokkalis 😀🖖🏼🚀” #PiNetwork #Web3 #PioneerMindset #PiBrowser #DigitalFreedom

Why use the regular Twitter (X) app, YouTube, or Google app—when you could be earning Pi just by visiting your favorite websites through the Pi Browser? This is the cheat code every true Pioneer should know. Every time you use the Pi Browser to explore the internet, you’re not just browsing—you’re supporting the Pi Network ecosystem and contributing to the future of Web3. The Pi Browser isn’t just another tool. It’s a gateway—a revolutionary bridge between Web2 and Web3. While others are stuck using outdated apps that give nothing back, Pioneers are earning real value, real utility, and building the foundation of a decentralized digital economy. Think about it: •Why scroll on X (Twitter) for free when you could be scrolling and earning? •Why watch videos on YouTube without benefit when you could be part of a network that rewards your engagement? •Why search the web without purpose when Pi Browser turns your actions into economic participation? This is the mindset shift. This is how early adopters win. Pioneers don’t wait for the future—they create it. Every tap, scroll, and click through the Pi Browser fuels a new kind of internet—where you own your data, your time, and your value. So, next time you go online, ask yourself: Am I just consuming? Or am I building the future of Web3 with Pi? Choose smart. Choose purpose. Choose the Pi Browser. Because this isn’t just browsing—it’s a revolution. Check your Utilities bonus in the Pi app if you’ve been using the Pi Browser, and see how much bonus you’ve earned! Pi Network Nicolas Kokkalis 😀🖖🏼🚀” #PiNetwork #Web3 #PioneerMindset #PiBrowser #DigitalFreedom

Mr Spock 𝛑

19,484 次观看 • 1 年前

Today we're launching FilmArena [dot] ai. Biggest release we've ever shipped. The problem: a new SOTA AI image & video model drops every week. OpenAI shipped GPT Image 2 literally yesterday. 1000 endpoints, no honest answer to "which one is best right now?" Arena AI and Artificial Analysis cracked LLM benchmarking. But for creative AI, they're solving the wrong problem. There is no "best image-to-video model." Best at what? World building? Action Sequences? Expressions? Every category has a different winner, and it flips weekly. So we benchmarked 40+ SOTA models with 2M+ votes across 190 countries. By subcategory. Re-ranked every week as new models ship. With thousands of real humans. But that's just half of it. Then there's the SANDBOX. Higgsfield and other aggregators put models in one place. But creators still juggle twelve subscriptions to do one job. FilmArena collapses it into one tab. Every frontier model. One interface. Same price. Call the best, or call 3 at once and compare. The AI film stack has been fragmented since day one. Today it isn't. Go try it free: filmarena [dot] ai Already wild results from this week: 1. OpenAI GPT Image 2 (released yesterday) dominates image editing, but Google DeepMind Nano Banana 2 still wins animated 2. PixVerse C-1 beats Dreamina AI Seedance 2 on animated 3. Veo 3.1 Fast outperforms Veo 3.1 on realistic video And a lot more. Go check it out.

Today we're launching FilmArena [dot] ai. Biggest release we've ever shipped. The problem: a new SOTA AI image & video model drops every week. OpenAI shipped GPT Image 2 literally yesterday. 1000 endpoints, no honest answer to "which one is best right now?" Arena AI and Artificial Analysis cracked LLM benchmarking. But for creative AI, they're solving the wrong problem. There is no "best image-to-video model." Best at what? World building? Action Sequences? Expressions? Every category has a different winner, and it flips weekly. So we benchmarked 40+ SOTA models with 2M+ votes across 190 countries. By subcategory. Re-ranked every week as new models ship. With thousands of real humans. But that's just half of it. Then there's the SANDBOX. Higgsfield and other aggregators put models in one place. But creators still juggle twelve subscriptions to do one job. FilmArena collapses it into one tab. Every frontier model. One interface. Same price. Call the best, or call 3 at once and compare. The AI film stack has been fragmented since day one. Today it isn't. Go try it free: filmarena [dot] ai Already wild results from this week: 1. OpenAI GPT Image 2 (released yesterday) dominates image editing, but Google DeepMind Nano Banana 2 still wins animated 2. PixVerse C-1 beats Dreamina AI Seedance 2 on animated 3. Veo 3.1 Fast outperforms Veo 3.1 on realistic video And a lot more. Go check it out.

Mehul Agarwal

43,247 次观看 • 2 个月前

@PuppetzNFT PEASANTS 1.0 HAS ARRIVED! 🚀 The Puppetz debut on , blending ART and DEFI utilities into one unique experience. 🗓️ Drop Date: 1.8.2025 📍 Available exclusively on Crypto.com NFT About @PuppetzNFT A Web3 project founded on handcrafted illustrations by Sergi🎭, merging social commentary with striking digital art. Puppetz PEASANTS 1.0 marks the return of Puppetz with: 🎨 2000 unique, 1/1 hand-drawn NFTs optimized for Web3 dApps. Mint Details 🔥 1400 NFTs at $33 🔥 100 NFTs at $1 🔥 +500 NFTs reserved for holders (+$16K value) 💸 +$30K in utilities for NFT and $PPTZ holders 💸 60%-80% royalties shared with the community Exclusive Perks 👕 Merch: Limited-edition gear from @PuppetzNFT & Crypto.com 💾 Hardware Wallet: A special collab between CoolWallet & @PuppetzNFT ✨ And more utilities, including: •NFT and token airdrops •20 premium Puppetz hoodies •Giveaways and surprises Why Puppetz? 🚀 ❤️‍🔥 $500K+ in volume across all collections 🛒 8 SOLD-OUT drops on Crypto.com NFT since 2021 (last drop: 40 seconds!) 🎁 +$65K in community rewards distributed (+$95K with this drop) 🌍 Secondary sales up to $3K, with a 1900% revaluation in top cases 🎉 GIVEAWAY ALERT! 🎁 Win 1 PUPPETZ PEASANTS 1.0 NFT To enter: 1️⃣ Follow @PuppetzNFT & Crypto.com NFT 2️⃣ Like + RT + Tag 3 friends (multiple entries allowed) | #CROFam 3️⃣ Join our Discord: 🎭 PUPPETZ PEASANTS 1.0 🆓 BORN FREE CLUB 📜 Check the drop Terms & Conditions for full details. #cryptocom #NFTs #CROFam

@PuppetzNFT PEASANTS 1.0 HAS ARRIVED! 🚀 The Puppetz debut on , blending ART and DEFI utilities into one unique experience. 🗓️ Drop Date: 1.8.2025 📍 Available exclusively on Crypto.com NFT About @PuppetzNFT A Web3 project founded on handcrafted illustrations by Sergi🎭, merging social commentary with striking digital art. Puppetz PEASANTS 1.0 marks the return of Puppetz with: 🎨 2000 unique, 1/1 hand-drawn NFTs optimized for Web3 dApps. Mint Details 🔥 1400 NFTs at $33 🔥 100 NFTs at $1 🔥 +500 NFTs reserved for holders (+$16K value) 💸 +$30K in utilities for NFT and $PPTZ holders 💸 60%-80% royalties shared with the community Exclusive Perks 👕 Merch: Limited-edition gear from @PuppetzNFT & Crypto.com 💾 Hardware Wallet: A special collab between CoolWallet & @PuppetzNFT ✨ And more utilities, including: •NFT and token airdrops •20 premium Puppetz hoodies •Giveaways and surprises Why Puppetz? 🚀 ❤️‍🔥 $500K+ in volume across all collections 🛒 8 SOLD-OUT drops on Crypto.com NFT since 2021 (last drop: 40 seconds!) 🎁 +$65K in community rewards distributed (+$95K with this drop) 🌍 Secondary sales up to $3K, with a 1900% revaluation in top cases 🎉 GIVEAWAY ALERT! 🎁 Win 1 PUPPETZ PEASANTS 1.0 NFT To enter: 1️⃣ Follow @PuppetzNFT & Crypto.com NFT 2️⃣ Like + RT + Tag 3 friends (multiple entries allowed) | #CROFam 3️⃣ Join our Discord: 🎭 PUPPETZ PEASANTS 1.0 🆓 BORN FREE CLUB 📜 Check the drop Terms & Conditions for full details. #cryptocom #NFTs #CROFam

PuppetZ.CDC🎭

16,936 次观看 • 1 年前

GeoLibre v2.0.0 is here! GeoLibre is a free and open-source geospatial platform that runs everywhere: as a native desktop app, in the browser, on Android, and embedded right inside Jupyter notebooks. It brings modern web mapping, cloud-native data formats, and a full processing toolbox together in one place, all built on MapLibre and with no proprietary lock-in. Our first major release adds a true 3D globe, takes mapping beyond Earth to Mars and the Moon, lets styles round-trip with QGIS, and turns loaded vector layers into editable, save-back-to-source data. What's new in v2.0.0 - Planetary mapping: explore Mars, the Moon, and other bodies with the OpenPlanetaryMap basemaps, a per-project ellipsoid, and a planet switcher right in the Layers panel. - CesiumJS 3D globe: switch any map pane to a photorealistic 3D globe that stays camera-synced with your 2D maps and mirrors the layer stack. - True 3D data: render vector layers with Z coordinates, load TIN/MultiPatch 3D shapefiles, and display KML/KMZ Collada (.dae) 3D models. - Symbology interchange: import and export vector styling as OGC SLD, QGIS QML, and Mapbox GL style JSON, so styles round-trip between GeoLibre, QGIS, and the Mapbox/MapLibre ecosystem. - Editable source layers: edit vector layers and write the changes back to their source, including GeoPackage and GeoJSON files and PostGIS database tables. - Weather and sky: a new Weather menu with live cloud and precipitation radar overlays (RainViewer), plus a Google Earth-style sun position simulation for realistic lighting. - Terrain and lighting: double-click the terrain control to set vertical exaggeration, and view any scene in true 3D relief. - Smarter data import: bring in CSV without coordinates as an attribute table, split GPX track points and route points into separate layers, and load macOS-zipped and projected-CRS shapefiles. - Raster in the browser: build normalized-difference indices for any HTTP COG and extract COG/WMS/XYZ bounding-box subsets client-side. - Field Calculator upgrades: compute geometry length and area directly on your features. - Attribute table: multi-select rows with Ctrl and Shift, plus faster navigation. - Google Earth-style extras: "View in Google Maps / Google Earth" actions, camera-reset keyboard shortcuts, and a UTM easting/northing grid mode for the Gridlines overlay. - New plugins: a Mapillary coverage and street-level image viewer, a Historical Imagery panel, and an Elevation Profile tool. - Fully localized: all 13 language catalogs are complete, so the entire UI is translatable. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

34,433 次观看 • 6 天前

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:

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 次观看 • 1 年前

🚀 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 次观看 • 5 个月前

🎬 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

🎬 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 次观看 • 7 个月前

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:

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 次观看 • 8 个月前

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!

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 次观看 • 7 个月前