Search Results for "ai models"
Sort By:
Showing 25 open source projects for "ai models"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
-
1
Clarity AI Upscaler
AI Image Upscaler & Enhancer
Clarity AI Upscaler is an open-source AI image enhancement tool designed to increase the resolution and visual quality of images using modern generative techniques. The system uses deep learning models based on diffusion and other image generation methods to reconstruct high-resolution versions of low-resolution images while preserving important visual details. -
2
Open Design
Local-first, open-source alternative to Anthropic's Claude Design
Open Design is a local-first, open-source AI design platform that enables coding agents to generate complete design systems and visual artifacts from prompts. It functions as an alternative to proprietary AI design tools by allowing users to connect their own models and run everything locally or deploy it as a web application. The system includes a library of design skills and brand-grade design systems that guide the generation process, ensuring consistency and quality. ... -
3
Lama Cleaner
Image inpainting tool powered by SOTA AI Model
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, or people from your pictures or erase and replace(powered by stable diffusion) anything on your pictures. Lama Cleaner is a free, open-source and fully self-hostable inpainting tool powered by state-of-the-art AI models. You can use it to remove any unwanted object, defect, or people from your pictures or erase and replace anything on your pictures. -
4
Upscayl
Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
...You can also download the flatpak version and double-click the flatpak file to install via Store but wait for the full release, we'll be pushing it to Flathub for easy access. Upscayl uses AI models to enhance your images by guessing what the details could be. It uses Real-ESRGAN (and more in the future) model to achieve this. The CLI tool is called real-esrgan-ncnn-vulkan and it's available on the Real-ESRGAN repository. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
5
IOPaint
Image inpainting tool powered by SOTA AI Model
IOPaint is a powerful open-source image editing tool focused on inpainting, outpainting, object removal, and general image manipulation driven by state-of-the-art AI models, delivering these capabilities through both local and hosted workflows. Designed to be fully self-hosted and flexible, IOPaint supports a variety of underlying generators and inpaint models — from LaMa erase networks to Stable Diffusion-based replace/object generation — giving users multiple ways to refine or reconstruct images by removing unwanted elements or expanding artwork beyond its original boundaries. ... -
6
Modly
Desktop app to generate 3D models from images using local AI
Modly is a lightweight platform designed to simplify the creation and management of modular AI-driven workflows and tools. It focuses on breaking down complex processes into reusable modules that can be combined and orchestrated to achieve specific goals. The system emphasizes flexibility, allowing users to define custom modules and integrate them into larger pipelines. It supports experimentation, enabling users to test and refine workflows quickly. Modly is designed to be accessible, with... -
7
TRELLIS.2
Native and Compact Structured Latents for 3D Generation
TRELLIS.2 is a cutting-edge open-source model and codebase for high-fidelity 3D asset generation from 2D images, developed to push forward the state of the art in image-to-3D generation. At its core is a novel sparse voxel structure called O-Voxel that jointly encodes both geometry and surface appearance, enabling reconstruction and generation of complex 3D shapes with arbitrary topology, open surfaces, and physically based rendering (PBR) textures. The system leverages a large... -
8
OpenBrand
Extract brand assets (logos, colors, backdrops) from any website
OpenBrand is an open-source platform aimed at helping users generate, manage, and experiment with branding assets using modern AI-driven workflows. It focuses on simplifying the creation of brand identities by integrating tools for generating logos, visual assets, and design systems in a cohesive environment. The project is built with extensibility in mind, allowing developers to integrate additional AI models or design pipelines to expand its capabilities. It provides a structured approach to branding by combining automation with user input, enabling rapid prototyping of brand concepts without requiring deep design expertise. ... -
9
VGGSfM
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
...With minimal configuration, users can process single scenes or full video sequences, apply motion masks to exclude moving objects, and train neural radiance or splatting models directly from reconstructed outputs. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
10
3DCellForge
AI-powered interactive 3D cell generation and exploration studio
3DCellForge is an AI-powered 3D cell generation and exploration studio built as a polished browser prototype. It uses React, Vite, Three.js, React Three Fiber, Drei, and Framer Motion to create an interactive WebGL environment for exploring biological cell models. Users can rotate, zoom, inspect organelles, compare views, take notes, capture screenshots, and export or import GLB models. -
11
LingBot-Map
A feed-forward 3D foundation model for reconstructing scenes
...It can be particularly useful in complex chatbot systems where multiple branches and conditions need to be managed effectively. The project supports extensibility, allowing developers to adapt the mapping system to different chatbot frameworks or AI models. Its design encourages clarity and transparency in conversational design, reducing ambiguity in dialogue flows. Overall, lingbot-map serves as a tool for improving the structure and reliability of conversational AI systems. -
12
Perfect Pixel
Refine and quantize messy AI pixel art into clean, perfect pixels
perfectPixel is a workflow tool for turning messy “pixel-style” images, especially those produced by generative models, into truly grid-aligned pixel art that reads cleanly at any scale. It tackles a common problem with AI pixel art: edges that look pixelated at first glance but are not actually aligned to a coherent pixel grid, which causes shimmer, blur, and uneven block sizes when you zoom in. The tool analyzes an image to infer the intended grid size, then refines and quantizes the artwork so pixels snap into consistent cells and the final result looks crisp and intentional. ... -
13
Mesh R-CNN
code for Mesh R-CNN, ICCV 2019
Mesh R-CNN is a 3D reconstruction and object understanding framework developed by Facebook Research that extends Mask R-CNN into the 3D domain. Built on top of Detectron2 and PyTorch3D, Mesh R-CNN enables end-to-end 3D mesh prediction directly from single RGB images. The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. Unlike voxel-based or point-based approaches, Mesh... -
14
Kornia
Open Source Differentiable Computer Vision Library
...At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs. -
15
Pixal3D
Pixel-Aligned 3D Generation from Images
...It is useful for researchers, 3D artists, game asset workflows, and generative AI experiments focused on image-conditioned reconstruction. Its main value is combining generative flexibility with reconstruction-like visual fidelity. -
16
Dream Textures
Stable Diffusion built-in to Blender
Create textures, concept art, background assets, and more with a simple text prompt. Use the 'Seamless' option to create textures that tile perfectly with no visible seam. Texture entire scenes with 'Project Dream Texture' and depth to image. Re-style animations with the Cycles render pass. Run the models on your machine to iterate without slowdowns from a service. Create textures, concept art, and more with text prompts. Learn how to use the various configuration options to get exactly what... -
17
armory
3D Engine with Blender Integration
...The result is a unified workflow from start to finish. Powered by Armory engine, ArmorPaint is a stand-alone software designed for physically-based texture painting. Drag & drop your 3D models and start painting. Receive instant visual feedback in the viewport as you paint. Powered by Armory engine, ArmorLab is stand-alone software designed for AI-powered texture authoring. Generate PBR materials by drag & dropping your photos. In development! Armory is an open-source 3D game engine with full Blender integration. The engine is currently available in a form of early preview. -
18
App Store Screenshot Generator
Create screenshots for the iOS App Store
AppScreen is a free and open-source utility designed to help developers and designers produce polished App Store screenshots for iOS apps without needing expensive graphic design software or manual layout work. It runs entirely in a browser or local environment and includes intuitive controls for backgrounds, text overlays, and device mockups, letting users compose compelling marketing visuals that meet Apple’s official size guidelines. Users can toggle between multiple device models and... -
19
Warlock-Studio
AI Suite for upscaling, interpolating & restoring images/videos
v6.0. Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system... -
20
AnimateDiff
Plug-n-play module turning text-to-image models into animation
AnimateDiff is an open-source project designed to enhance text-to-image diffusion models by adding animation capabilities. It allows users to turn static images generated by popular text-to-image models into animated sequences without requiring additional model training. This plug-and-play tool is compatible with a wide range of community models and facilitates the generation of animation directly from pre-existing text-to-image models. -
21
Flow Teleprompter
A Windows first teleprompter with voice tracking and AI drafting.
Flow is an ultra-lightweight, high-performance teleprompter for Windows built with Rust and Tauri. Designed for creators, presenters, and educators, Flow delivers a smooth, distraction-free reading surface with minimal CPU and RAM usage. Key Features: - 5 Playback Modes: Offline Voice Tracking (via local Vosk models), Word Highlight, Line-by-Line, Arrow Guide, and Continuous Smooth Scrolling. - Script Library & Manager: Save, search, organize, and switch between multiple scripts locally... -
22
audio-diffusion-pytorch
Audio generation using diffusion models, in PyTorch
A fully featured audio diffusion library, for PyTorch. Includes models for unconditional audio generation, text-conditional audio generation, diffusion autoencoding, upsampling, and vocoding. The provided models are waveform-based, however, the U-Net (built using a-unet), DiffusionModel, diffusion method, and diffusion samplers are both generic to any dimension and highly customizable to work on other formats. Note: no pre-trained models are provided here, this library is meant for research... -
23
PNG Upscale
AI Super - Resolution
Download is available from the Releases Page or Google Drive or MediaFire. Be careful when trying to resize very large pictures, it can take considerable time and resources. To upscale an image you just need to choose a mode, load a picture and press start. Save button can be used to choose an output folder and filename before you start the process (either just name or .png) You can double-click the text box to change [Dark - Light] theme (disabled when upScaling) Use PNG images for best... -
24
face3D chung is a small mesh editor with which you can create 3D obj model character avatar head objects with texture from a single photo of any man or woman for your games. Works by 3D & texture morphing .Uses freebasic apps gui_chung , loadobj3ds_chung and ancient openGL . Can run on a small netbook. .Added speaking avatars with moving lips using TTS_chung_dll and aiml_chung_dll aiml chatbot .Added online speaking avatar using HTML5 , javascript , jsc3d and custom elizabot like chatbot...
-
25
Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few...
- Previous
- You're on page 1
- Next
