
ArtCraft
Cursor for film-Consistent control, virtual sets, BYOC, Open
What it does
ArtCraft is Cursor for film. It's designed by filmmakers and artists with features most AI image and video tools lack: control and consistency. Our 2D canvas and 3D stage enable fully precise articulation and blocking of scenes and get rid of random "dice rolling". ArtCraft has full intentionality and repeatability so you "craft" instead of prompt. ArtCraft is open source and lets you to bring your existing subscriptions. Finally, ArtCraft has the powerful Seedream 2.0 model before the US launch
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- IBI built an interactive plotter art exhibit for SIGGRAPH2024 · lostpixels.io · ▲167
I'm enthralled with using pen plotters to make generative art. Last August at SIGGRAPH, I built an interactive experience for others to see how code can be used to make visual art. The linked blog post is my trials and tribulations of linking a MIDI controller to one of these algorithms and sending its output to a plotter, so that people may witness the end-to-end experience.
- HGHeard Google copied part of our product for IO. Want to show off firstMay 2026 · ▲6
I just heard from a very reputable source that Google built part of our product and that they're about to show it off at Google IO. We built a 3D film tool called ArtCraft: https://getartcraft.com https://github.com/storytold/artcraft (our monorepo with the desktop app, server, and website code) Our 3D virtual film set enables set decoration, location reuse, precision blocking (control over where things are), character posing, etc. Sets and objects can be generated as meshes or gaussian splats. Autoregressive multimodal models can treat input "previz" style…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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