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my AI image tool now does 2D game asset generation: • parallax layers (sky / mid / foreground) • tile maps • sprite animations polishing a few bugs, then pushing to github #gamedev #indiegame

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Ibrahim Boona

20,057 subscribers

34,682 Aufrufe • vor 3 Monaten •via X (Twitter)

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I used the Cursor SDK to build an AI powered game sprite generator. > Simply provide a prompt or source image > Specify animations you want > Generate spritesheets > Import into any game engine Battle testing it now to iron our bugs and create more demos. Check it out Check it out! 👇
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I used the Cursor SDK to build an AI powered game sprite generator. > Simply provide a prompt or source image > Specify animations you want > Generate spritesheets > Import into any game engine Battle testing it now to iron our bugs and create more demos. Check it out Check it out! 👇

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what if 2D game art wasn’t pixels or frames but thousands of living Gaussian splats? characters can melt and reform. lose splats when they take damage. zoom in forever without hitting a blur. animate without rigs or sprite sheets. we’ve built 2D games on fixed pixels for decades. the next era might be built from light. still an early demo, but i’m going to turn this into a real tool for 2D game devs and open-source it on GitHub soon. #gamedev #indiegame
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what if 2D game art wasn’t pixels or frames but thousands of living Gaussian splats? characters can melt and reform. lose splats when they take damage. zoom in forever without hitting a blur. animate without rigs or sprite sheets. we’ve built 2D games on fixed pixels for decades. the next era might be built from light. still an early demo, but i’m going to turn this into a real tool for 2D game devs and open-source it on GitHub soon. #gamedev #indiegame

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I built an open-source tool to fix something that drives me nuts. You ask ChatGPT or Gemini for a game asset and get an image with a background baked in. Ask for transparency and you get... a fake checkerboard. Then you hunt for a background remover, then slice each sprite out by hand. So I built Sprite Lab. Drop a spritesheet → it auto-detects the backdrop (checkerboard, white, magenta, green), removes it cleanly with no halo, and slices every frame for you. Export as PNGs + a strip + manifest. 100% in your browser. No uploads, no AI model, no sign-up. Free and open source. #gamedev #indiegame
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I built an open-source tool to fix something that drives me nuts. You ask ChatGPT or Gemini for a game asset and get an image with a background baked in. Ask for transparency and you get... a fake checkerboard. Then you hunt for a background remover, then slice each sprite out by hand. So I built Sprite Lab. Drop a spritesheet → it auto-detects the backdrop (checkerboard, white, magenta, green), removes it cleanly with no halo, and slices every frame for you. Export as PNGs + a strip + manifest. 100% in your browser. No uploads, no AI model, no sign-up. Free and open source. #gamedev #indiegame

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My canvas based AI image generation tool is live! It's built on top of tldraw and uses Nano Banana 2 Lite for image generation. You can sketch, annotate, collage in a frame... And then click to generate an image. Check it out 👉
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My canvas based AI image generation tool is live! It's built on top of tldraw and uses Nano Banana 2 Lite for image generation. You can sketch, annotate, collage in a frame... And then click to generate an image. Check it out 👉

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I love how broken and fun the physics in my game are right now. I try to build a realistic 70s Istanbul, then accidentally create pure chaos like this. Sometimes bugs are just too good to fix. #screenshotsaturday #solodev #PSX #indiegame #grandtheftistanbul
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I love how broken and fun the physics in my game are right now. I try to build a realistic 70s Istanbul, then accidentally create pure chaos like this. Sometimes bugs are just too good to fix. #screenshotsaturday #solodev #PSX #indiegame #grandtheftistanbul

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Juan

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most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity
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most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity

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Asked KURIA to turn my “Notes I Never Sent” concept into a cinematic short. He worked overnight — generating 15 AI-crafted scenes, syncing narration with dynamic captions, layering ambient sound design, animating message drafts, and packaging every asset neatly into Drive. He would then share the file in my discord server I woke up to a fully produced 28-second film — opening title card, seamless transitions, subtle UI animations, and a polished end screen — without touching a single tool.
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Asked KURIA to turn my “Notes I Never Sent” concept into a cinematic short. He worked overnight — generating 15 AI-crafted scenes, syncing narration with dynamic captions, layering ambient sound design, animating message drafts, and packaging every asset neatly into Drive. He would then share the file in my discord server I woke up to a fully produced 28-second film — opening title card, seamless transitions, subtle UI animations, and a polished end screen — without touching a single tool.

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I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!
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I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!

Startracker 🔺

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Exploring 3D Generation Capabilities in Alchemist AI🔮 Alchemist AI now enables users to create basic 3D assets, including models, objects, environments, and simulations, expanding its capabilities beyond 2D asset generation. What Does This Mean for You? • 3D Environment Creation: Generate virtual worlds, such as game environments or fantasy landscapes. Define parameters like terrain or structures to create dynamic and adaptable spaces tailored to your needs. • Customizable 3D Models and Objects: Design and modify 3D assets by adjusting dimensions, materials, and textures. Whether crafting prototypes or characters, users maintain full creative control. • Interactive Simulations: Build physics-based simulations or animated scenes. With upcoming support for sprite libraries and animation rigs, fine-tune object behaviors and interactions to suit your projects. With future API updates, Alchemist AI’s 3D generation capabilities will further expand, enhancing tools for creating models, environments, and simulations. AI-assisted text-to-3D will also be introduced—just describe your vision, such as 'space station' or 'orange sports car' and the system will generate customizable base assets.

ALCHEMIST AI 🔮

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I’ve been using Grok Bot in early access for a little over a week now, and it has been a massive boost to my game dev workflow and my productivity in general. One of the first things I asked it to do was to visit my custom art generation tool webpage and generate art assets to replace all the image placeholders in my game. It looked through my codebase to understand what each asset was, wrote a custom art generation prompt for every single one, generated the images, cropped and cleaned them up into transparent PNGs, and then wired them back into the game. In about 2 hours, it generated 74 (cleaned and cropped) art assets for the cards and integrated all of them into my game. Now, ALL my art assets workflows go through Grok bot. This blew my mind because, before this, I was doing everything manually, one asset at a time. It basically solved my entire art asset workflow and allowed me to put it on autopilot, which is amazing. I’ve also been using Grok Bot for: Playtesting my game: The bot was a little slow initially, so I asked it to build a skill specifically designed to playtest my game, with intimate knowledge of its rules and mechanics. It’s much faster now, though I’m still looking for ways to optimise its speed. Setting up my itchio page for my game: It also automated a workflow that uploads a new build to itch whenever I push one to GitHub. Going to the itch website and uploading builds manually every single time was always a pain. Flowcharts and UX design: I’m a UX designer by day, so I decided to give it a much bigger task. I fed the agent a PRD and asked it to design the UX flows and wireframes. With the help of the Figma MCP, it actually delivered. Auditing all my paid subscriptions: I had it go through my emails and hunt down subscriptions that I might have forgotten about. Unsubscribing me from marketing newsletters: It did this beautifully, though it did miss a few newsletters. What I’ve learned is that it takes time to discover all the possible use cases for Grok bot. I’ve had to reevaluate my day-to-day workflows and figure out which parts I can delegate to it. So far, it has been a huge productivity unlock for me and I am discovering more uses for my Grok bots every other day.
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I’ve been using Grok Bot in early access for a little over a week now, and it has been a massive boost to my game dev workflow and my productivity in general. One of the first things I asked it to do was to visit my custom art generation tool webpage and generate art assets to replace all the image placeholders in my game. It looked through my codebase to understand what each asset was, wrote a custom art generation prompt for every single one, generated the images, cropped and cleaned them up into transparent PNGs, and then wired them back into the game. In about 2 hours, it generated 74 (cleaned and cropped) art assets for the cards and integrated all of them into my game. Now, ALL my art assets workflows go through Grok bot. This blew my mind because, before this, I was doing everything manually, one asset at a time. It basically solved my entire art asset workflow and allowed me to put it on autopilot, which is amazing. I’ve also been using Grok Bot for: Playtesting my game: The bot was a little slow initially, so I asked it to build a skill specifically designed to playtest my game, with intimate knowledge of its rules and mechanics. It’s much faster now, though I’m still looking for ways to optimise its speed. Setting up my itchio page for my game: It also automated a workflow that uploads a new build to itch whenever I push one to GitHub. Going to the itch website and uploading builds manually every single time was always a pain. Flowcharts and UX design: I’m a UX designer by day, so I decided to give it a much bigger task. I fed the agent a PRD and asked it to design the UX flows and wireframes. With the help of the Figma MCP, it actually delivered. Auditing all my paid subscriptions: I had it go through my emails and hunt down subscriptions that I might have forgotten about. Unsubscribing me from marketing newsletters: It did this beautifully, though it did miss a few newsletters. What I’ve learned is that it takes time to discover all the possible use cases for Grok bot. I’ve had to reevaluate my day-to-day workflows and figure out which parts I can delegate to it. So far, it has been a huge productivity unlock for me and I am discovering more uses for my Grok bots every other day.

Danny Limanseta

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I found a tool that turns a single character image into fully animated sprite sheets in seconds. AI just killed the most annoying part of game development. And honestly this is getting kind of crazy 👇 AutoSprite uses AI to generate walk cycles, attacks, idles, and basically whatever moveset you need. What's new: → Character pose editor → Cutscene creator → Best-in-class background remover → Higher resolutions → Faster generations You upload one image. It does the rest. No frame-by-frame drawing. No animation pipeline headache. No animation experience needed. Solo devs, studios, and anyone prototyping fast, this cuts hours of work down to seconds. Exports drop straight into Unity, Godot, GameMaker, Phaser, and RPG Maker. Zero extra setup. Try it free at
1:01

I found a tool that turns a single character image into fully animated sprite sheets in seconds. AI just killed the most annoying part of game development. And honestly this is getting kind of crazy 👇 AutoSprite uses AI to generate walk cycles, attacks, idles, and basically whatever moveset you need. What's new: → Character pose editor → Cutscene creator → Best-in-class background remover → Higher resolutions → Faster generations You upload one image. It does the rest. No frame-by-frame drawing. No animation pipeline headache. No animation experience needed. Solo devs, studios, and anyone prototyping fast, this cuts hours of work down to seconds. Exports drop straight into Unity, Godot, GameMaker, Phaser, and RPG Maker. Zero extra setup. Try it free at

Jafar Najafov

35,410 Aufrufe • vor 1 Monat

I’ve dreamt of creating a tool that could animate anyone with any motion from just ONE image… and now it’s a reality! 🎉 Super excited to introduce updated 3DHM: Synthesizing Moving People with 3D Control. 🕺💃3DHM can generate human videos from a single real or synthetic human image. #Animation #GenAI #AI #3DHM ✨ The magic of 3D control? Turning 2D pixels into lifelike, animated humans. 🎥 Check out our demo (and Merry Christmas)! Paper: Github: Webpage: Proudly working with the great Junming (Leo) Chen, , Yossi Gandelsman, Alyosha Efros and Jitendra MALIK😃 Kindly note: This video is intended solely for research purposes and is not authorized for commercial use.
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I’ve dreamt of creating a tool that could animate anyone with any motion from just ONE image… and now it’s a reality! 🎉 Super excited to introduce updated 3DHM: Synthesizing Moving People with 3D Control. 🕺💃3DHM can generate human videos from a single real or synthetic human image. #Animation #GenAI #AI #3DHM ✨ The magic of 3D control? Turning 2D pixels into lifelike, animated humans. 🎥 Check out our demo (and Merry Christmas)! Paper: Github: Webpage: Proudly working with the great Junming (Leo) Chen, , Yossi Gandelsman, Alyosha Efros and Jitendra MALIK😃 Kindly note: This video is intended solely for research purposes and is not authorized for commercial use.

Boyi Li

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.Under Secretary of War Emil Michael’s number one priority is to proliferate AI throughout the Department of War 🇺🇸: “In the next few weeks to months, not years, you will see [AI] proliferate throughout the entire Department across three different layers. Corporate and enterprise use-case layers that any big organization would use for efficiency purposes. The intelligence layer — how do you get intelligence, fuse it, analyze it, get more out of what you're collecting? And then the warfighting layer, which is logistics, modeling, simulation, targeting — all the things that, you essentially are trying to increase the human context window using AI as a tool for that. And we're going to be doing that on all networks at DoW. It's going to be my number one priority for the rest of my term.”
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.Under Secretary of War Emil Michael’s number one priority is to proliferate AI throughout the Department of War 🇺🇸: “In the next few weeks to months, not years, you will see [AI] proliferate throughout the entire Department across three different layers. Corporate and enterprise use-case layers that any big organization would use for efficiency purposes. The intelligence layer — how do you get intelligence, fuse it, analyze it, get more out of what you're collecting? And then the warfighting layer, which is logistics, modeling, simulation, targeting — all the things that, you essentially are trying to increase the human context window using AI as a tool for that. And we're going to be doing that on all networks at DoW. It's going to be my number one priority for the rest of my term.”

Department of War CTO

15,264 Aufrufe • vor 8 Monaten

YO ADRIAN! I DID IT! Update on my TMNT SNES port. This is the most extensive OAM overhaul I've ever done with a port, and I'm damn proud of myself! Lot of reverse engineering with the OG OAM engine, and I was finally able to incorporate a new method of writing to the buffer. This game does some heavy ADC/TAX for OAM buffer rotation to try to work around the sprite flicker. But that ADC/TAX rotation was complicating things for me when I was trying to incorporate a 16-bit index engine. What is also tricky, is that this game uses 8x16 sprites, and what is special on the NES, its hardware creates the bottom 8x8 sprite tile, without the need of the OAM to have it present. You can't do that on the SNES, you have to create that 2nd 8x8 sprite tile within code. The reason this is such a big deal, is before with 8x16 titles i've worked on, I would first simply copy the games original oam buffer to my snes buffer, but that addded alot of extra cpu time, this is present in my Legend of Zelda SNES port. Later ports I've done, I don't do that anymore, I modify the games original storage of OAM values, and send them directly to my custom snes OAM buffer, eliminating extra cpu cycles. So what's the big deal? My method of doing 8x16 sprites, is using my first 256 byte oam buffer for the top 8x8 tile, and my second 256 byte oam buffer for the bottom 8x8 tile. The issue I was having, was errors with sprite priority when sprites overlap each other. I noticed this right away during the dam sequence where the turtles have to disarm the bombs. Here is a before and after my port. Now I can finally move on with the port! 🙂
1:16

YO ADRIAN! I DID IT! Update on my TMNT SNES port. This is the most extensive OAM overhaul I've ever done with a port, and I'm damn proud of myself! Lot of reverse engineering with the OG OAM engine, and I was finally able to incorporate a new method of writing to the buffer. This game does some heavy ADC/TAX for OAM buffer rotation to try to work around the sprite flicker. But that ADC/TAX rotation was complicating things for me when I was trying to incorporate a 16-bit index engine. What is also tricky, is that this game uses 8x16 sprites, and what is special on the NES, its hardware creates the bottom 8x8 sprite tile, without the need of the OAM to have it present. You can't do that on the SNES, you have to create that 2nd 8x8 sprite tile within code. The reason this is such a big deal, is before with 8x16 titles i've worked on, I would first simply copy the games original oam buffer to my snes buffer, but that addded alot of extra cpu time, this is present in my Legend of Zelda SNES port. Later ports I've done, I don't do that anymore, I modify the games original storage of OAM values, and send them directly to my custom snes OAM buffer, eliminating extra cpu cycles. So what's the big deal? My method of doing 8x16 sprites, is using my first 256 byte oam buffer for the top 8x8 tile, and my second 256 byte oam buffer for the bottom 8x8 tile. The issue I was having, was errors with sprite priority when sprites overlap each other. I noticed this right away during the dam sequence where the turtles have to disarm the bombs. Here is a before and after my port. Now I can finally move on with the port! 🙂

infidelity

13,423 Aufrufe • vor 11 Monaten

Introducing Hybrid Models Alchemist AI now allows users to choose one model for ideation and another for completion, making app generation smarter, more structured, and highly detailed. With an ideation model, users can provide a simple prompt, and Alchemist AI does the heavy lifting—expanding on the idea with precise technical details. When creating a game, for example, it defines map size, terrain complexity, physics, AI behavior, and game mechanics before passing it to the completion model, which then builds the final product. This hybrid approach elevates the quality of generated applications, making it easier than ever to create highly polished games, tools, and applications—with minimal effort.
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Introducing Hybrid Models Alchemist AI now allows users to choose one model for ideation and another for completion, making app generation smarter, more structured, and highly detailed. With an ideation model, users can provide a simple prompt, and Alchemist AI does the heavy lifting—expanding on the idea with precise technical details. When creating a game, for example, it defines map size, terrain complexity, physics, AI behavior, and game mechanics before passing it to the completion model, which then builds the final product. This hybrid approach elevates the quality of generated applications, making it easier than ever to create highly polished games, tools, and applications—with minimal effort.

ALCHEMIST AI 🔮

17,914 Aufrufe • vor 1 Jahr

🚁 My war drone simulator Apocalypse Drone now has support for 32 players! I also made it Conquest/CTF so you have multiple bases that you have to capture, each round the map is procedurally generated and random so every time it's different (like Battlefield) There's still some bugs to work out and most importantly I have to figure out soldier animations, because they're fixed models now But I have got really far this time I think and coding with AI is really way further than it was a year ago, you mostly notice that how few times you get stuck, only one time this month building this I got stuck which was today where I moved the AI players to the server and they kept showing up as invisible, very buggy, every time I told it that it couldn't fix it though Then I asked it to fundamentally analyze the current server-side AI player code and make it work like industry standard, and it took a long time and fixed everything Last year I'd get stuck hundreds of times and the AI just couldn't get itself out of a hole, but now it can I think it's impressive that just last year only for the first time we could make actual games with AI But this year as non-game dev, I can get pretty close to the level of a multiplayer game from 20y ago (like Battlefield 1942, that lots of ideas here are based on, but with drones :D) Obviously we're still far away from AAA (I hate that term though) but the curve of exponential progress is there again, as it was in AI image generation, then video, and now code, first bad, then better, then good enough! Here's a video of gameplay from my drone sim You can play it with the link in the reply below and it's multiplayer!
8:27

🚁 My war drone simulator Apocalypse Drone now has support for 32 players! I also made it Conquest/CTF so you have multiple bases that you have to capture, each round the map is procedurally generated and random so every time it's different (like Battlefield) There's still some bugs to work out and most importantly I have to figure out soldier animations, because they're fixed models now But I have got really far this time I think and coding with AI is really way further than it was a year ago, you mostly notice that how few times you get stuck, only one time this month building this I got stuck which was today where I moved the AI players to the server and they kept showing up as invisible, very buggy, every time I told it that it couldn't fix it though Then I asked it to fundamentally analyze the current server-side AI player code and make it work like industry standard, and it took a long time and fixed everything Last year I'd get stuck hundreds of times and the AI just couldn't get itself out of a hole, but now it can I think it's impressive that just last year only for the first time we could make actual games with AI But this year as non-game dev, I can get pretty close to the level of a multiplayer game from 20y ago (like Battlefield 1942, that lots of ideas here are based on, but with drones :D) Obviously we're still far away from AAA (I hate that term though) but the curve of exponential progress is there again, as it was in AI image generation, then video, and now code, first bad, then better, then good enough! Here's a video of gameplay from my drone sim You can play it with the link in the reply below and it's multiplayer!

@levelsio

55,036 Aufrufe • vor 4 Monaten

ALRIGHT! Introducing SEEDTHREE! A Three.js webgpu procedural plant generator. I'm releasing this fully open source. I built this with Claude Fable and GPT-5.5 Codex + gptimage2 over just the past few days. The best part is: given the code, your agents can add new plants to it all you want! They just need an understanding of the code and an image generator capable of creating material maps. I highly encourage you to do PRs for any extra plants you add! I'll be adding more myself in future versions. The system is fully robust: it provides complete LOD and billboards/imposters generation for the plants and you can adjust the detail levels all you want for different platform targets like mobile and/or use lower LODs as your main for extreme optimization. As this is the first release alpha version, some bugs may have been missed, I encourage you to report any bugs. The repo includes all the assets for the scenery world too, even the ambient sounds of birds and wind! This is targeted at high end laptop and PC use, it requires baking generated geometry, so you won't be using this on a phone (I mean, feel free to try, but I doubt it'll run well, lol). This is fundamentally an asset generation tool for 3d dev. Have fun! Github repo link and live demo (you don't even have to download anything for basic non-editing/contributing use!) below ⤵️
0:56

ALRIGHT! Introducing SEEDTHREE! A Three.js webgpu procedural plant generator. I'm releasing this fully open source. I built this with Claude Fable and GPT-5.5 Codex + gptimage2 over just the past few days. The best part is: given the code, your agents can add new plants to it all you want! They just need an understanding of the code and an image generator capable of creating material maps. I highly encourage you to do PRs for any extra plants you add! I'll be adding more myself in future versions. The system is fully robust: it provides complete LOD and billboards/imposters generation for the plants and you can adjust the detail levels all you want for different platform targets like mobile and/or use lower LODs as your main for extreme optimization. As this is the first release alpha version, some bugs may have been missed, I encourage you to report any bugs. The repo includes all the assets for the scenery world too, even the ambient sounds of birds and wind! This is targeted at high end laptop and PC use, it requires baking generated geometry, so you won't be using this on a phone (I mean, feel free to try, but I doubt it'll run well, lol). This is fundamentally an asset generation tool for 3d dev. Have fun! Github repo link and live demo (you don't even have to download anything for basic non-editing/contributing use!) below ⤵️

Utah teapot 🫖

29,593 Aufrufe • vor 1 Monat