Alternatives
Products that do what WaifuXL - SOTA image upscaling neural network that runs in the browser does
WaifuXL is our state of the art super resolution model trained on ~1,200,000 anime style images from the Danbooru2021 dataset. You can run it straight from your browser, entirely client-side, at https://waifuxl.com. Using the Onnx Runtime, we stream the weights of our ML models directly onto your device to be executed locally in WebAssembly. Doing so allows us to provide this service solely through a static webpage, no backend for model execution needed. This has the added benefit of enabling the privacy of your images--your images are not, and never will be, sent to us. Our…
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Hey everyone! Excited to be able to share the release of `InvokeAI 2.0 - A Stable Diffusion Toolkit`, an open source project that aims to provide both enthusiasts and professionals a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2). InvokeAI was one of the earliest forks off of the core CompVis repo (formerly lstein/stable-diffusion), and recently evolved into a full-fledged community driven and open source stable…
2022 · github.com
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Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (https://arxiv.org/abs/2512.10685). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP. What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on…
May 2026 · github.com
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Hey HN! My friends and I built a new platform for generating images. The app is easy to use for people who find ComfyUI hard to use, or just simply don’t have a GPU to use it on. For those not familiar, ComfyUI is a great tool for using open-source models like Stable Diffusion. It’s primarily great because it’s a node-based tool, which means you can chain together models, upscalers, prompting nodes, etc… which let you create images in the exact aesthetic you want. There’s also a vibrant dev community behind ComfyUI, which means that there are a ton of nodes and customizability. We’re users…
2024
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Creating high-quality scientific figures can be time-consuming and challenging, even though sketching ideas on paper is relatively easy. Furthermore, recreating existing figures that are not stored in formats preserving semantic information is equally complex. To tackle this problem, we introduce DeTikZify, a novel multimodal language model that automatically synthesizes scientific figures as semantics-preserving TikZ graphics programs based on sketches and existing figures. We also introduce a Monte Carlo Tree Search-based inference algorithm that enables DeTikZify to iteratively refine its…
2024 · github.com
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Hi HN, I built (https://invertornot.com) it's an API that can predict whether an image will look good/bad while inverted. This is particularly useful for images in dark-mode as you can now safely invert them. The conservative solution to adapt images for dark-mode consist in dimming the image, however there is a lot of images that can be inverted (graph for example). Using deep learning we can avoid heuristics and obtain a much more reliable solution. The API uses an EfficientNet pre-trained model fine-tuned on a custom dataset (1.1k samples). EfficientNet was chosen as it was…
2024 · invertornot.com
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Hey HN, My wife is a designer, and one day she asked me if there was a tool to enhance images and improve their quality. I recommended a few to her, but she found that the suitable ones were too expensive, and the more affordable options didn't offer enough magnification, most only going up to 2x or 4x. So, I thought, why not create a tool that meets her needs, one that can greatly enhance image resolution and clarity while being very affordable to use? After over a month of effort, I finally completed this tool. It can now enlarge images up to 10 times, with a maximum support of 12,000…
2024 · mejorarimagen.org
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I am excited to announce the release of TabPFN-2.5, our tabular foundation model that now scales to datasets of up to 50,000 samples and 2,000 features - a 5x increase from TabPFN v2, published in the Nature journal earlier this year. TabPFN-2.5 delivers state-of-the-art predictions in one forward pass without hyperparameter tuning across classification and regression tasks. What’s new in 2.5: TabPFN-2.5 maintains the core approach of v2 - a pretrained transformer trained on more than hundred million synthetic datasets to perform in-context learning and output a predictive distribution for…
Nov 2025 · priorlabs.ai
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The Emotion Engine has 32 MB of RAM total, so the trick is streaming weights from CD-ROM one matrix at a time during the forward pass — only activations, KV cache and embeddings live in RAM. This means models bigger than the RAM can still run, they just read more from disc. Had to build a custom quantized format (PSNT), hack endianness, write a tokenizer pipeline, and most of the PS2 SDK from scratch (releasing that separately). The model itself is also custom — a 10M param Llama-style architecture I trained specifically for this. And it works. On real hardware.
Mar 2026 · github.com
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It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)
Jun 2026 · github.com
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