Search Results for "image generator"
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Showing 30 open source projects for "image generator"
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1
ViMax
Director, Screenwriter, Producer, and Video Generator All-in-One
ViMax is an open-source framework for performing large-scale multi-modal vision-language modeling and reasoning by combining powerful image encoders with advanced language models to solve complex visual tasks. It integrates components like visual encoders, cross-modal fusion techniques, and reasoning modules so that users can go beyond simple captioning or classification to perform tasks such as visual question answering, multi-image inference, and structured scene understanding. ViMax’s... -
2
InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models
InvokeAI is an implementation of Stable Diffusion, the open source text-to-image and image-to-image generator. It provides a streamlined process with various new features and options to aid the image generation process. It runs on Windows, Mac and Linux machines, and runs on GPU cards with as little as 4 GB or RAM. InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. ... -
3
WanGP
AI video generator optimized for low VRAM and older GPUs use
Wan2GP is an open source AI video generation toolkit designed to make modern generative models accessible on consumer-grade hardware with limited GPU memory. It acts as a unified interface for running multiple video, image, and audio generation models, including Wan-based models as well as other systems like Hunyuan Video, Flux, and Qwen. A key focus of the project is reducing VRAM requirements, enabling some workflows to run on as little as 6 GB while still supporting older Nvidia and... -
4
1D Visual Tokenization and Generation
This repo contains the code for 1D tokenizer and generator
The 1D Visual Tokenization and Generation project from ByteDance introduces a novel “one-dimensional” tokenizer designed for images: instead of representing images with large grids of 2D tokens (as in many prior generative/image-modeling systems), it compresses images into as few as 32 discrete tokens (or more, optionally) — thereby achieving a very compact, efficient representation that drastically speeds up generation and reconstruction while retaining strong fidelity. This compact... -
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5
Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
...The general recommendation is to use suitable augs for your data and as many as possible, then after some time of training disable the most destructive (for image) augs. You can turn on automatic mixed precision with one flag --amp. You should expect it to be 33% faster and save up to 40% memory. Aim is an open-source experiment tracker that logs your training runs, and enables a beautiful UI to compare them. -
6
JoyAI-Echo
Pushing the Frontier of Long Audio-Visual Generation
...It is designed to create minute-level, multi-shot video stories from structured prompts while preserving continuity across scenes. The system uses a paired cross-modal memory bank to maintain visual identity and voice consistency over longer sequences. It also uses a distilled DMD generator to reduce inference cost and improve generation speed compared with heavier multi-step pipelines. JoyAI-Echo focuses on text-to-video and multi-shot long-video generation, while image-to-video support is not part of the current release scope. It is most useful for research and experimental video workflows that need synchronized audio, coherent characters, and editable story-level generation. -
7
ChatGPT Discord Bot
Integrate ChatGPT into your own discord bot
Build your own Discord bot using ChatGPT. Using certain personas may generate vulgar or disturbing content. Use at your own risk. Public mode (default), the bot directly replies on the channel. The bot's reply can only be seen by the person who used the command. Invite your bot to your server via OAuth2 URL Generator. Email/Password authentication (Not supported for Google/Microsoft accounts). A system prompt would be invoked when the bot is first started or reset. You can set it up by... -
8
Simple StyleGan2 for Pytorch
Simplest working implementation of Stylegan2
Simple Pytorch implementation of Stylegan2 that can be completely trained from the command-line, no coding needed. You will need a machine with a GPU and CUDA installed. You can also specify the location where intermediate results and model checkpoints should be stored. You can increase the network capacity (which defaults to 16) to improve generation results, at the cost of more memory. By default, if the training gets cut off, it will automatically resume from the last checkpointed file.... -
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TextureAtlas Toolbox
A powerful, free and open-source tool for TextureAtlases/Spritesheets
TextureAtlas Toolbox is an all-in-one solution for working with texture atlases and sprite sheets. Extract sprites into organized frame collections and GIF/WebP/APNG animations, generate optimized atlases from individual frames, or convert between 15+ atlas formats. Perfect for game developers, modders, and anyone creating showcases of game sprites. Formerly known as TextureAtlas to GIFs and Frames Licensed under AGPL-3.0 Third-party licenses: See... -
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10
Make-A-Video - Pytorch (wip)
Implementation of Make-A-Video, new SOTA text to video generator
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch. They combine pseudo-3d convolutions (axial convolutions) and temporal attention and show much better temporal fusion. The pseudo-3d convolutions isn't a new concept. It has been explored before in other contexts, say for protein contact prediction as "dimensional hybrid residual networks". The gist of the paper comes down to, take a SOTA text-to-image model (here they use DALL-E2, but the same learning points would easily apply to Imagen), make a few minor modifications for attention across time and other ways to skimp on the compute cost, do frame interpolation correctly, get a great video model out. ... -
11
Intention Repeater MAX
Repeating your Intentions to aid in manifestation
...The ServitorConnect 4443 and Python Daemon and Intention Repeater Android are better because repeating once-per-hour is better than millions of times per second (or even 3Hz). The archive bundle includes binaries and source code for: MAX and Simple Intention Repeaters CUDA version for Windows/Linux Memory Frequency Generator Multi-Format to WAV Repeater Android app Sourcecode File/Image Writers Nesting Files Creator Prayer Wheel Spiritual Chat Tarot WiFi Broadcast Whether you're seeking to manifest abundance, enhance your spiritual journey, or promote overall well-being, Intention Repeater MAX empowers you to harness the incredible strength of intention repetition. ... -
12
UtilityHub
UtilityHub is a lightweight, all-in-one desktop utility.
UtilityHub is a lightweight, all-in-one desktop utility designed to simplify everyday document and image processing tasks. Built with a focus on speed, simplicity, and a clean dark-themed interface, UtilityHub bundles multiple essential tools into a single user-friendly application. User Interface • Clean & Intuitive GUI • Dark Theme for comfortable long-duration usage • Beginner-friendly design with minimal learning curve Technology Stack • Python • Tkinter (GUI) • SQLite (Local... -
13
RyuX-Passgen
RyuX Passgen is an open-source password generator
RyuX Passgen is an open-source password generator built using Python and Tkinter. It allows users to generate secure passwords with customizable length and stores previously generated passwords in a CSV file for future reference. -
14
Rickrack (Color Palette Generator)
Generate Harmonious Colors Freely.
Rickrack is a free and user-friendly color editor. It is designed to generate a set of harmonious colors from the color wheel or other places. You can share these colors with your friends, or apply them into your creative works. What’s more, you can export them into individual files and import them into other softwares such as Adobe Photoshop, GIMP, Krita, Pencil 2D and Clip Studio Paint. -
15
Wicogen-windows-icon-generator
Windows folder icon generator
Wicogen Easily Customize your folders and make Windows suite to your taste! Just choose an image and it will be automatically applied to a folder of your choice! Quickly search the net for images you like by a folder name and a search term! Supported sources for online search: Google images Bing images IMDB (covers for movies and TV shows) MyAnimeList.net (covers for anime and movies) For Movie/TV, I recommend the disk style available in the "Style:" drop-down. If you find all... -
16
Amiga Memories
A walk along memory lane
Amiga Memories is a project (started & released in 2013) that aims to make video programmes that can be published on the internet. The images and sound produced by Amiga Memories are 100% automatically generated. The generator itself is implemented in Squirrel, the 3D rendering is done on GameStart 3D. An Amiga Memories video is mostly based on a narrative. The purpose of the script is to define the spoken and written content. The spoken text will be read by a voice synthesizer (Text To Speech or TTS), the written text is simply drawn on the image as subtitles. ... -
17
Deep Daze
Simple command line tool for text to image generation
...Simply specify the path to the image you wish to use, and optionally the number of initial training steps. We can also feed in an image as an optimization goal, instead of only priming the generator network. Deepdaze will then render its own interpretation of that image. The regular mode for texts only allows 77 tokens. If you want to visualize a full story/paragraph/song/poem, set create_story to True. -
18
Big Sleep
A simple command line tool for text to image generation
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Ryan Murdock has done it again, combining OpenAI's CLIP and the generator from a BigGAN! This repository wraps up his work so it is easily accessible to anyone who owns a GPU. You will be able to have the GAN dream-up images using natural language with a one-line command in the terminal. -
19
StarGAN
Official PyTorch Implementation
...It demonstrates adversarial training strategies, domain classification losses, and generator-discriminator coordination required for stable multi-domain translation. Researchers and practitioners often use the project as a reference when studying conditional GANs and advanced image synthesis techniques. Overall, the repository provides a clean and practical baseline for experimenting with multi-domain generative modeling in PyTorch. -
20
DCVGAN
DCVGAN: Depth Conditional Video Generation, ICIP 2019.
...Generate the depth video to model the scene dynamics based on the geometrical information. To add appropriate color to the geometrical information of the scene, the domain translation from depth to color is performed for each image. This model has three networks in the generator. In addition, the model has two discriminators. -
21
Imogen
GPU Texture Generator
Imogen is a real-time, node-based procedural texture generation tool aimed at artists, developers, and shader enthusiasts. It allows users to build complex material textures using a graph-based interface, combining operations like blending, noise, filters, and color correction in a non-destructive workflow. Built with Vulkan and ImGui, Imogen provides immediate visual feedback and supports GPU acceleration for high-resolution texture output. It's particularly useful in game development, VFX,... -
22
PyTorch pretrained BigGAN
PyTorch implementation of BigGAN with pretrained weights
...This implementation currently only contains the generator as the weights of the discriminator were not released (although the structure of the discriminator is very similar to the generator so it could be added pretty easily. -
23
SG2Im
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 201
...Instead of conditioning on free-form text alone, it leverages graph structure to control layout and interactions, generating scenes that respect constraints like “person left of dog” or “cup on table.” The pipeline typically predicts object layouts (bounding boxes and masks) from the graph, then renders a realistic image conditioned on those layouts. This separation lets the model reason about geometry and composition before committing to texture and color, improving spatial fidelity. The repository includes training code, datasets, and evaluation scripts so researchers can reproduce baselines and extend components such as the graph encoder or image generator. ... -
24
ARK AR Sticker Generator
ARK is an AR Sticker Generator
In Augmented Reality Development we often need high quality markers for image targets compatible with accurate detection. ARK is an AR sticker generator made using various image processing libraries & scientific tools. It creates a colorful sticker similar to a QR code with each sticker being completely unique from other. It also allows to add an image overlay for branding or other stuff. Generated stickers can be found in Output folder. -
25
Deepo
Set up deep learning environment in a single command line
Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment, supports almost all commonly used deep learning frameworks, supports GPU acceleration (CUDA and cuDNN included), also works in CPU-only mode, and works on Linux (CPU version/GPU version), Windows (CPU version) and OS X (CPU version). Their Dockerfile generator that allows you to customize your own environment with Lego-like modules, and automatically resolves the dependencies for you. For users in China who may suffer from slow speeds when pulling the image from the public Docker registry, you can pull deepo images from the China registry mirror by specifying the full path, including the registry, in your docker pull command. ...
