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Stream a live image of any element into a canvas <ElementMirror source={cardRef} fps={30} /> Good for things like blurred img/video backdrops, dnd, pip, minimaps, magnifiers, custom glass effects, creative coding shenanigans

Austin Malerba

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16,666 次观看 • 13 天前 •via X (Twitter)

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You've never vibe coded like this before. Replit ⠕ is now your canvas for building & creating. In this video I'm building a graphics shader app. I click Replit's canvas button and see the live app running on infinite editable canvas, generate several design variants in parallel side by side, bring one back into my app. Just 1 of the things we shipped.

You've never vibe coded like this before. Replit ⠕ is now your canvas for building & creating. In this video I'm building a graphics shader app. I click Replit's canvas button and see the live app running on infinite editable canvas, generate several design variants in parallel side by side, bring one back into my app. Just 1 of the things we shipped.

jordwalke

188,333 次观看 • 5 个月前

ComfyUI Tutorial for Beginners: Text-to-Image & Image-to-Image Workflows One graph, two workflows and Module 2 is where you build it node by node instead of loading someone else's. We start from a blank canvas and wire every connection, then change a single value and turn the same graph into image-to-image. What you'll learn: → The 5 core nodes, connected one at a time — checkpoint, CLIP encode, KSampler, empty latent, VAE decode → Why the data flows the way it does, not just where the wires go → Every KSampler setting: seed, steps, CFG, sampler, scheduler → Denoise from 0.9 to 0.0 — the one value that decides how much of your source survives → Locking seeds and generating takes instead of chasing one perfect image → Preview vs. save, and why every image carries the graph that made it → Reopen any result in your asset library as a live workflow → The 6 errors that break Comfy most often → How to read a red node like a sentence Click the links below to run the workflow ⬇️

ComfyUI Tutorial for Beginners: Text-to-Image & Image-to-Image Workflows One graph, two workflows and Module 2 is where you build it node by node instead of loading someone else's. We start from a blank canvas and wire every connection, then change a single value and turn the same graph into image-to-image. What you'll learn: → The 5 core nodes, connected one at a time — checkpoint, CLIP encode, KSampler, empty latent, VAE decode → Why the data flows the way it does, not just where the wires go → Every KSampler setting: seed, steps, CFG, sampler, scheduler → Denoise from 0.9 to 0.0 — the one value that decides how much of your source survives → Locking seeds and generating takes instead of chasing one perfect image → Preview vs. save, and why every image carries the graph that made it → Reopen any result in your asset library as a live workflow → The 6 errors that break Comfy most often → How to read a red node like a sentence Click the links below to run the workflow ⬇️

ComfyUI

38,992 次观看 • 6 天前

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

Tencent HY

191,908 次观看 • 1 年前

“ xAI team is currently working heavily on coding models. Right now, the main focus is training a specialized coding model that will be both fast and smart. I believe we’ll share it with you guys in a few weeks. That’s exciting. Second ,after coding, we all see that the main weakness of Grok 4 is its multimodal capabilities. In fact, it was so bad that Grok was effectively looking at the world while squinting through glass trying to see blurry features and make sense of them. The most immediate improvement we’re stepping on with the next generation pre trained model is huge gains in image understanding, video understanding, and audio. Right now, the model can hear and see the world just like any of you. And with all the tools and other agents it can talk to, we’re going to see a huge unlock for many different application layers once multimodal agents arrive.” — xAI Team

“ xAI team is currently working heavily on coding models. Right now, the main focus is training a specialized coding model that will be both fast and smart. I believe we’ll share it with you guys in a few weeks. That’s exciting. Second ,after coding, we all see that the main weakness of Grok 4 is its multimodal capabilities. In fact, it was so bad that Grok was effectively looking at the world while squinting through glass trying to see blurry features and make sense of them. The most immediate improvement we’re stepping on with the next generation pre trained model is huge gains in image understanding, video understanding, and audio. Right now, the model can hear and see the world just like any of you. And with all the tools and other agents it can talk to, we’re going to see a huge unlock for many different application layers once multimodal agents arrive.” — xAI Team

Apurv Kochara

88,142 次观看 • 6 个月前

📢 OneCanvas: 3D Scene Understanding via Panoramic Reprojection We extract features from video frames and reproject them into one occlusion-free view of the whole scene that a 2D VLM reads just like a normal image. We can center this view on any viewpoint, including an agent's own pose for situated reasoning. The same projection lets us create spatial training tasks with no human annotation, solvable only by reasoning over the 3D positions of real object features placed on an otherwise empty canvas. The result is a stock 2D VLM that reasons in 3D, setting a new state of the art across spatial benchmarks at far less compute. 🌐 ▶️ Great work by Bartłomiej Baranowski & Dave Zhenyu Chen

📢 OneCanvas: 3D Scene Understanding via Panoramic Reprojection We extract features from video frames and reproject them into one occlusion-free view of the whole scene that a 2D VLM reads just like a normal image. We can center this view on any viewpoint, including an agent's own pose for situated reasoning. The same projection lets us create spatial training tasks with no human annotation, solvable only by reasoning over the 3D positions of real object features placed on an otherwise empty canvas. The result is a stock 2D VLM that reasons in 3D, setting a new state of the art across spatial benchmarks at far less compute. 🌐 ▶️ Great work by Bartłomiej Baranowski & Dave Zhenyu Chen

Matthias Niessner

25,345 次观看 • 2 个月前

This Google Veo 3 "frames to video" feature is pure genius 💡 If you're creating video ads, this Veo 3 technique gives you surgical control over every scene element. This frames-to-video feature will take any static product shot... And turn it into cinematic reels with precise camera movements & timing. Perfect for creative strategists, agencies, and DTC operators running video campaigns. But instead of hoping AI generates what you hope for... Just upload your reference image and get exact scene control in minutes. The game-changer? Your static assets become dynamic video gold → organized by camera moves, action sequences, & precise timing control. Here's what frames-to-video gives you: → upload any product reference image → add numbered annotations for camera movements → structure scene directions (I use JSON for precision) → set duration, fps, lighting specs → get frame-perfect video execution → no video shooting or expensive production needed Now you've got director-level control from single images. These HexClad reels were generated from two static product shots + a JSON prompt for each. When your campaign needs cinematic quality but you only have product photos? This frames-to-video workflow changes everything. And it's only getting better Want my full annotation setup guide, including the JSON prompts? Comment "FRAMES" + follow and I'll send it over (must be following/connected so I can DM)

This Google Veo 3 "frames to video" feature is pure genius 💡 If you're creating video ads, this Veo 3 technique gives you surgical control over every scene element. This frames-to-video feature will take any static product shot... And turn it into cinematic reels with precise camera movements & timing. Perfect for creative strategists, agencies, and DTC operators running video campaigns. But instead of hoping AI generates what you hope for... Just upload your reference image and get exact scene control in minutes. The game-changer? Your static assets become dynamic video gold → organized by camera moves, action sequences, & precise timing control. Here's what frames-to-video gives you: → upload any product reference image → add numbered annotations for camera movements → structure scene directions (I use JSON for precision) → set duration, fps, lighting specs → get frame-perfect video execution → no video shooting or expensive production needed Now you've got director-level control from single images. These HexClad reels were generated from two static product shots + a JSON prompt for each. When your campaign needs cinematic quality but you only have product photos? This frames-to-video workflow changes everything. And it's only getting better Want my full annotation setup guide, including the JSON prompts? Comment "FRAMES" + follow and I'll send it over (must be following/connected so I can DM)

Mike Futia

39,877 次观看 • 1 年前

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Google AI

13,954,152 次观看 • 3 个月前

I have been wanting to test performance transfer in Seadance 2.5 since launch, now I have, I am really impressed by the results. I wrote a short script and recorded myself giving a rallying speech as an orc warlord, then fed this and an image of the orc into Seedance with this prompt "A cinematic close up of an orc warlord giving a rallying speech to his army of orcs. Transfer the performance, movement and audio from Video 1 onto the the character Image 1. Do not add any music" I didn't prompt the dialogue or performance in text. The first video you see is a a final cut of the video, the second is the final cut of the video with my video performance. As you can see it's not an exact like-for-like transfer of the performance and voice but more a interpretation by Seedance. It's made my amateur performance better IMHO, more fitting with the creator but retain the essence, nuance and context. So you don't have to feed in a long prompt to get good performance out of your AI actors you can just show them what you want with a video! I used Seedance Enterprise on bytedances lumina platform Lumina link in the comments!

I have been wanting to test performance transfer in Seadance 2.5 since launch, now I have, I am really impressed by the results. I wrote a short script and recorded myself giving a rallying speech as an orc warlord, then fed this and an image of the orc into Seedance with this prompt "A cinematic close up of an orc warlord giving a rallying speech to his army of orcs. Transfer the performance, movement and audio from Video 1 onto the the character Image 1. Do not add any music" I didn't prompt the dialogue or performance in text. The first video you see is a a final cut of the video, the second is the final cut of the video with my video performance. As you can see it's not an exact like-for-like transfer of the performance and voice but more a interpretation by Seedance. It's made my amateur performance better IMHO, more fitting with the creator but retain the essence, nuance and context. So you don't have to feed in a long prompt to get good performance out of your AI actors you can just show them what you want with a video! I used Seedance Enterprise on bytedances lumina platform Lumina link in the comments!

Uncanny Harry AI

23,157 次观看 • 25 天前

As a Twitch streamer, do you struggle with keeping your viewership up when on a BRB or Starting Soon screen? Clip reels are a perfect, fun way to keep attention. And they showcase your content. But they're a LOT of work to maintain. Well.. at least they were😎 What if you could have a simple browser source that automatically played an always-fresh clip reel? What if you could have a simple browser source that would show the clip reel of your last stream, like a "Previously On..." TV show intro? Now you can!! When you use the Highlight Hunter by FrostyTools, you find the best moments from your VOD, automatically. You can already easily turn them into Twitch clips, or download the snippets to edit for a perfect short-form video, or download entire montages of VODs to share with your community. BUT NOW, you can just grab one of two simple browser source links, to pop into your OBS or Meld Studio One of them will roll all your favorited snippets in random order, like a shuffling playlist of your best highlights. Great for BRB screens, or any time you want to entertain with your best moments. The other will play the linear montage of your latest VOD, for a "Previously On..." experience that helps catch viewers up if they missed it or forgot. Great for Starting Soon screens to seamlessly tie the streams together (and pairs great with our Showstarter chatbot feature 😉). The best part? As you continue to use the Highlight Hunter, these update automatically! New favorite snippets since last stream? They're in the reel already! Ran the Highlight Hunter on your latest VOD? Its montage will automatically play on your 'Previously On..' browser source when you start stream up next time. This is a SUPER powerful update; check it out ASAP!

As a Twitch streamer, do you struggle with keeping your viewership up when on a BRB or Starting Soon screen? Clip reels are a perfect, fun way to keep attention. And they showcase your content. But they're a LOT of work to maintain. Well.. at least they were😎 What if you could have a simple browser source that automatically played an always-fresh clip reel? What if you could have a simple browser source that would show the clip reel of your last stream, like a "Previously On..." TV show intro? Now you can!! When you use the Highlight Hunter by FrostyTools, you find the best moments from your VOD, automatically. You can already easily turn them into Twitch clips, or download the snippets to edit for a perfect short-form video, or download entire montages of VODs to share with your community. BUT NOW, you can just grab one of two simple browser source links, to pop into your OBS or Meld Studio One of them will roll all your favorited snippets in random order, like a shuffling playlist of your best highlights. Great for BRB screens, or any time you want to entertain with your best moments. The other will play the linear montage of your latest VOD, for a "Previously On..." experience that helps catch viewers up if they missed it or forgot. Great for Starting Soon screens to seamlessly tie the streams together (and pairs great with our Showstarter chatbot feature 😉). The best part? As you continue to use the Highlight Hunter, these update automatically! New favorite snippets since last stream? They're in the reel already! Ran the Highlight Hunter on your latest VOD? Its montage will automatically play on your 'Previously On..' browser source when you start stream up next time. This is a SUPER powerful update; check it out ASAP!

Ken aka Frosty

103,009 次观看 • 10 个月前

SOMEONE BUILT A TOOL THAT TURNS A SCREENSHOT INTO A CINEMATIC PRODUCT VIDEO you drop in a product screenshot or app screen and it spits out a polished cinematic shot or app store preview video in seconds it comes loaded with every editing option you'd actually pay a pro for: > motion presets like drift, tilt loop, pulse, sway, and showoff for cinematic movement > shot types like hero, drama, epic, showcase, and freestyle to frame your product like a real ad > post processing effects including glass glare, ground shadow, chromatic shift, heat ripple, and glitch > film grain, focus blur, and noir filters built in > export at 4x resolution, 60fps, WebM or MP4 in any aspect ratio you finally don't need any 3d designing or video editing experience, and you don't have to hire a motion designer for $500 a clip app store preview videos are the #1 thing every developer skips because they're such a pain to make now you can make one in your browser tab and 3 minutes this is the kind of polish that separates a vibe coded project from a legit application vibecoders are about to start shipping launches that look better than most seed stage startups

SOMEONE BUILT A TOOL THAT TURNS A SCREENSHOT INTO A CINEMATIC PRODUCT VIDEO you drop in a product screenshot or app screen and it spits out a polished cinematic shot or app store preview video in seconds it comes loaded with every editing option you'd actually pay a pro for: > motion presets like drift, tilt loop, pulse, sway, and showoff for cinematic movement > shot types like hero, drama, epic, showcase, and freestyle to frame your product like a real ad > post processing effects including glass glare, ground shadow, chromatic shift, heat ripple, and glitch > film grain, focus blur, and noir filters built in > export at 4x resolution, 60fps, WebM or MP4 in any aspect ratio you finally don't need any 3d designing or video editing experience, and you don't have to hire a motion designer for $500 a clip app store preview videos are the #1 thing every developer skips because they're such a pain to make now you can make one in your browser tab and 3 minutes this is the kind of polish that separates a vibe coded project from a legit application vibecoders are about to start shipping launches that look better than most seed stage startups

Om Patel

14,597 次观看 • 4 个月前

🔴 VIDEO OUTPAINTING, EDITING AND REMIXES WITH AI Were you amazed by the inpainting/outpainting of images? Wait until you see what 🪄 MagicEdit can do with video! 💡 Here's how it works: MagicEdit is not your ordinary video editor. Instead of just overlaying effects or making basic changes, its AI technology can separate and analyze the essential components of the video: the appearance (what you see) and the movement (how things move). By understanding and editing these components independently, MagicEdit allows changes to be seamlessly and coherently integrated throughout the video, avoiding jumps or visual inconsistencies. It's like a magic wand 🪄 that allows: 👉 Video Stylization 1⃣ You can transform the overall aesthetic of a video by choosing from a multitude of styles, whether from realistic to cartoonish or any other desired effect. 2⃣ Completely alter the narrative, smoothly transitioning from one subject or background to another: imagine a dog in a park turning into a cat on a beach under the moonlight. 👉 Area-specific Editing (e.g. change hair color) MagicEdit also allows users to make local modifications to the video while leaving other regions untouched (e.g., make the young lady wear glasses). 👉 Video Outpainting (e.g. expand the video to 16:9) MagicEdit also supports the video outpainting task without any re-training, expanding the video in any direction and creating new footage on the fly. 👉 Video-MagicMix (e.g. mix elements) MagicEdit can also merge two different concepts (for instance, a rabbit and a tiger) within the video domain to create a new mixed concept (a tiger looking like a rabbit). Once again, as Arthur C. Clarke would say, "Any sufficiently advanced technology is indistinguishable from magic." How far are we from being able to make our own movies?

🔴 VIDEO OUTPAINTING, EDITING AND REMIXES WITH AI Were you amazed by the inpainting/outpainting of images? Wait until you see what 🪄 MagicEdit can do with video! 💡 Here's how it works: MagicEdit is not your ordinary video editor. Instead of just overlaying effects or making basic changes, its AI technology can separate and analyze the essential components of the video: the appearance (what you see) and the movement (how things move). By understanding and editing these components independently, MagicEdit allows changes to be seamlessly and coherently integrated throughout the video, avoiding jumps or visual inconsistencies. It's like a magic wand 🪄 that allows: 👉 Video Stylization 1⃣ You can transform the overall aesthetic of a video by choosing from a multitude of styles, whether from realistic to cartoonish or any other desired effect. 2⃣ Completely alter the narrative, smoothly transitioning from one subject or background to another: imagine a dog in a park turning into a cat on a beach under the moonlight. 👉 Area-specific Editing (e.g. change hair color) MagicEdit also allows users to make local modifications to the video while leaving other regions untouched (e.g., make the young lady wear glasses). 👉 Video Outpainting (e.g. expand the video to 16:9) MagicEdit also supports the video outpainting task without any re-training, expanding the video in any direction and creating new footage on the fly. 👉 Video-MagicMix (e.g. mix elements) MagicEdit can also merge two different concepts (for instance, a rabbit and a tiger) within the video domain to create a new mixed concept (a tiger looking like a rabbit). Once again, as Arthur C. Clarke would say, "Any sufficiently advanced technology is indistinguishable from magic." How far are we from being able to make our own movies?

Javi Lopez ⛩️

13,293 次观看 • 3 年前

✨New demo: what if vibe coding felt more visual? Brian Lovin Mary Rose Cook and I did a game jam using Notion as our "IDE": launching Cursor agents from a task board, and making a custom image for each task 😎 The demo shows 3 ideas for the future of agents: 1) Agents should collaborate across apps. Each app has its focus--Notion AI is good at drafting specs and organizing tasks; Cursor is good at coding. So let them specialize! Today we're launching a new integration where Notion AI can kick off Cursor Cloud Agents to do coding tasks. The Cursor API accepts natural language prompts, so I think of this as "cross-app sub-agents" -- it's kinda cute how it resembles humans hiring outside contractors 😊 BTW: the parallelism of cloud agents is incredibly freeing for creativity, but it also creates a new problem: sooo much work to keep track of! Which brings us to the next idea... 2) Agent orchestration is a data visualization problem. A powerful frame for designing agent UIs is to think of the chat transcripts as the "raw data" and ask: what visual projections might help people make sense of this data at scale? We need to engage our human GPUs -- our visual processing -- to understand what the computer GPUs are doing for us! One thing we can do is use AI to populate traditional UIs like progress bars and status updates. But there are also new possibilities now... For example: when you have a lot going on, it can be hard to identify tasks just by text titles. So we tried generating an AI image for each task -- turns out this helps a lot by giving it a unique visual identity! And of course, it also just makes it super fun to build with friends 😃 Speaking of friends... 3) The future of coding is collaborative. Sometimes it feels like IC engineers are being reduced to middle managers: shuffling information between the team's context and the coding agents that they individually manage. The solution: bring all the people and agents into one shared space, with shared context and visibility! In the video you can get a glimpse of how this feels. Mary, Brian and I record ourselves chatting about ideas, and then we use AI to turn that conversation into a list of tasks on a shared board. As the ideas get built in parallel, we can all monitor progress and review the work together, nothing is siloed. My main takeaway from this game jam was: damn, creativity with friends, at the speed of conversation, is incredibly fun. --- Our goal here is to let anyone use Notion as a fun and creative "software factory" to build software together with your team. Give the Cursor integration a shot and let us know what you think! (AI Image gen in Notion isn't GA yet, but coming soon and already out to some users) And let me know if you'd want a template or more detailed instructions on the setup we showed in this demo...

✨New demo: what if vibe coding felt more visual? Brian Lovin Mary Rose Cook and I did a game jam using Notion as our "IDE": launching Cursor agents from a task board, and making a custom image for each task 😎 The demo shows 3 ideas for the future of agents: 1) Agents should collaborate across apps. Each app has its focus--Notion AI is good at drafting specs and organizing tasks; Cursor is good at coding. So let them specialize! Today we're launching a new integration where Notion AI can kick off Cursor Cloud Agents to do coding tasks. The Cursor API accepts natural language prompts, so I think of this as "cross-app sub-agents" -- it's kinda cute how it resembles humans hiring outside contractors 😊 BTW: the parallelism of cloud agents is incredibly freeing for creativity, but it also creates a new problem: sooo much work to keep track of! Which brings us to the next idea... 2) Agent orchestration is a data visualization problem. A powerful frame for designing agent UIs is to think of the chat transcripts as the "raw data" and ask: what visual projections might help people make sense of this data at scale? We need to engage our human GPUs -- our visual processing -- to understand what the computer GPUs are doing for us! One thing we can do is use AI to populate traditional UIs like progress bars and status updates. But there are also new possibilities now... For example: when you have a lot going on, it can be hard to identify tasks just by text titles. So we tried generating an AI image for each task -- turns out this helps a lot by giving it a unique visual identity! And of course, it also just makes it super fun to build with friends 😃 Speaking of friends... 3) The future of coding is collaborative. Sometimes it feels like IC engineers are being reduced to middle managers: shuffling information between the team's context and the coding agents that they individually manage. The solution: bring all the people and agents into one shared space, with shared context and visibility! In the video you can get a glimpse of how this feels. Mary, Brian and I record ourselves chatting about ideas, and then we use AI to turn that conversation into a list of tasks on a shared board. As the ideas get built in parallel, we can all monitor progress and review the work together, nothing is siloed. My main takeaway from this game jam was: damn, creativity with friends, at the speed of conversation, is incredibly fun. --- Our goal here is to let anyone use Notion as a fun and creative "software factory" to build software together with your team. Give the Cursor integration a shot and let us know what you think! (AI Image gen in Notion isn't GA yet, but coming soon and already out to some users) And let me know if you'd want a template or more detailed instructions on the setup we showed in this demo...

Geoffrey Litt

88,919 次观看 • 6 个月前

Project Launch 🚀: mukh v0.1.14 - The Face Analysis Library Hello Everyone, I am happy to launch my first python package "mukh". Mukh (मुख, meaning "face" in Sanskrit) is a comprehensive face analysis library that provides unified APIs for various face-related tasks. It simplifies the process of working with multiple face analysis models through a consistent interface. --- 📌 Features: 🥸 DeepFake Detector: First Python package featuring an Ensemble of multiple models 🎯 Unified API: Single, consistent API for multiple face analysis tasks like face detection and reenactment 🔄 Model Flexibility: Support for multiple models per task 🛠️ Custom Pipelines: Optimized preprocessing and model combinations --- 📌 Currently Supported Tasks: 1️⃣ Face Detection 2️⃣ Face Reenactment with Source Image and Driving Video 3️⃣ Deepfake Detection for Image and Video 4️⃣ Deepfake Detection Pipeline - Ensemble of multiple models --- 📌 Open Source Contributions: I am opening up multiple tasks in the issues section of mukh including a bunch of `good-first-issues`. My goal is to help a number of beginners get started with their contributions, I will be personally guiding across completing these tasks so keep a check on the issues section. The link to the GitHub repository and detailed documentation is available below 👇 in the reply section, do give it a ⭐️ to support the project! --- Special Mentions in the video: Ayush Chaurasia adi unni hsr hacker house Nimisha Chanda @ElonMastikhor Ctrl+Vibe

Project Launch 🚀: mukh v0.1.14 - The Face Analysis Library Hello Everyone, I am happy to launch my first python package "mukh". Mukh (मुख, meaning "face" in Sanskrit) is a comprehensive face analysis library that provides unified APIs for various face-related tasks. It simplifies the process of working with multiple face analysis models through a consistent interface. --- 📌 Features: 🥸 DeepFake Detector: First Python package featuring an Ensemble of multiple models 🎯 Unified API: Single, consistent API for multiple face analysis tasks like face detection and reenactment 🔄 Model Flexibility: Support for multiple models per task 🛠️ Custom Pipelines: Optimized preprocessing and model combinations --- 📌 Currently Supported Tasks: 1️⃣ Face Detection 2️⃣ Face Reenactment with Source Image and Driving Video 3️⃣ Deepfake Detection for Image and Video 4️⃣ Deepfake Detection Pipeline - Ensemble of multiple models --- 📌 Open Source Contributions: I am opening up multiple tasks in the issues section of mukh including a bunch of `good-first-issues`. My goal is to help a number of beginners get started with their contributions, I will be personally guiding across completing these tasks so keep a check on the issues section. The link to the GitHub repository and detailed documentation is available below 👇 in the reply section, do give it a ⭐️ to support the project! --- Special Mentions in the video: Ayush Chaurasia adi unni hsr hacker house Nimisha Chanda @ElonMastikhor Ctrl+Vibe

Ishan Dutta

13,963 次观看 • 1 年前

Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!

Santiago

108,835 次观看 • 2 年前

Huge UI design boost by adding this to my AI workflow 1. Explore variations with Variant. The secret is to use "shuffle layout" and "see other views". This keeps the essence of a design that I like, but gives interesting layout variations. I also change colors and explore narrow by specifying one or two things in prompt, like font name, UI style or light/dark mode. 2. Copy HTML and prompt with Gemini 3 in site builder. Fix minute details like fonts, icons, assets, intro/scroll animations, adaptive layout and make the whole thing functional. Include image references, button styles, code snippets and other components to keep things creative. Often, I see sites that have one cool thing, but the rest is super generic. That's because AI is especially good at being generic without continuously feeding specs. 3. Turn into a landing page by prompt adding new components/sections and connect/adapt new pages. This is the part where most people stop, but it's actually the easiest since AI is so good at reading existing code. "Adapt this {page code} for a {features, blog, pricing, login} page." Finally, set up SEO and custom domain name. Boom, you just shipped a pro-level site that doesn't look generic.

Huge UI design boost by adding this to my AI workflow 1. Explore variations with Variant. The secret is to use "shuffle layout" and "see other views". This keeps the essence of a design that I like, but gives interesting layout variations. I also change colors and explore narrow by specifying one or two things in prompt, like font name, UI style or light/dark mode. 2. Copy HTML and prompt with Gemini 3 in site builder. Fix minute details like fonts, icons, assets, intro/scroll animations, adaptive layout and make the whole thing functional. Include image references, button styles, code snippets and other components to keep things creative. Often, I see sites that have one cool thing, but the rest is super generic. That's because AI is especially good at being generic without continuously feeding specs. 3. Turn into a landing page by prompt adding new components/sections and connect/adapt new pages. This is the part where most people stop, but it's actually the easiest since AI is so good at reading existing code. "Adapt this {page code} for a {features, blog, pricing, login} page." Finally, set up SEO and custom domain name. Boom, you just shipped a pro-level site that doesn't look generic.

Meng To

65,762 次观看 • 7 个月前