Search Results for "a-frame"
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Showing 120 open source projects for "a-frame"
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MiniMax H3
MiniMax H3 is a general-purpose, omni-modal generative system
...It can understand combinations of text, images, video, and audio as generation context. Outputs range from four to fifteen seconds at 24 frames per second, with multiple aspect ratios and resolutions up to 2K. H3-Base supports text-to-video, first-frame, last-frame, and first-and-last-frame generation. Ref2VA accepts multiple reference images, videos, and audio clips for more controlled results. Its architecture uses a unified multimodal sequence and a 33-billion-parameter H3-Omni-Transformer that jointly predicts video and audio latents. The repository also provides model components, inference code, prompt guidance, and specialized generation skills. -
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OpenShot Video Editor
Award-Winning Open Source Video Editing Software
OpenShot Video Editor is a powerful yet very simple and easy-to-use video editor that delivers high quality video editing and animation solutions. OpenShot offers a myriad of features and capabilities, including powerful curve-based Key frame animations, 3D animated titles and effects, slow motion and time effects, audio mixing and editing, and so much more. It’s available for Linux, Mac and Windows, with a very simple and friendly interface. Start creating stunning videos quickly and easily with OpenShot! -
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Video2X
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K
A lossless video/GIF/image upscale achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018. The latest Windows update is built based on version 4.8.1. GUI is not available for 5.0.0 yet, but is already under development. Go to the GUI page to see the basic usage of the GUI. Try the mirror if you can't download releases directly from GitHub. You can use Video2X on Google Colab for free if you don't have a powerful GPU of your own. You can borrow a powerful GPU... -
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Pixelle-Video
AI Fully Automated Short Video Engine
...It focuses on enabling automated video creation workflows where visual content can be synthesized, edited, or enhanced through AI models. The project integrates different components of video processing, such as frame generation, transformation, and sequencing, into a unified pipeline. It is built to support experimentation with generative video models, making it useful for research and creative applications. The system emphasizes modularity, allowing developers to plug in different models or processing steps depending on the use case. It can be used for tasks such as content generation, video editing, or visual storytelling. ... -
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Oil Motion
Create smooth, responsive interactive web animations
...Animation progress can then be mapped to scrolling, mouse movement, dragging, touch input, device orientation, clicks, or component states. Reverse movement naturally follows the same frame sequence when the user reverses an interaction. The workflow also considers motion continuity, visual clarity, loading size, and mobile performance. It is suitable for product reveals, character interactions, demonstrations, data transitions, and narrative page sequences. -
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. Its frame debugger lets you step through commands, inspect render targets and textures, review shaders, and experiment with pipeline changes to validate optimizations. ... -
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Pixelorama
A free & open-source 2D sprite editor, made with the Godot Engine
...A variety of different tools to help you draw, with the ability to map a different tool in each left and right mouse buttons. Are you an animator? Pixelorama has its own animation timeline just for you! You can work at an individual cel level, where each cel refers to a unique layer and frame. Supports onion skinning, cel linking, motion drawing and frame grouping with tags. Custom brushes, including random brushes. Create or import custom palettes. Import images and edit them inside Pixelorama. If you import multiple files, they will be added as individual animation frames. Importing sprite sheets is also supported. -
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Anime Player
Video player for improving quality of hand-drawn images
...Anime Player is designed to play video and audio files and includes functions such as opening files, URLs and folders, setting image scaling parameters using the Anime4K algorithm, creating an mpv config for watching videos using the Anime4K algorithm on Android, viewing help and information about tuning the algorithm. The player also has support for frame interpolation using SVP. You need to install SVP and VapourSynth to work. -
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claude-real-video
Let Claude (or any LLM) actually watch a video
claude-real-video is a local video processing tool that prepares videos for analysis by Claude or other LLMs. It accepts public video URLs or local files and extracts the visual and audio evidence an AI model needs. Instead of sampling at a fixed interval, it detects scene changes and removes near-duplicate frames to reduce unnecessary token usage. It can transcribe audio, generate a clean output folder, and create a local viewer with the video, keyframe grid, and transcript. The tool can... -
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SeedVR
Repo for SeedVR2 & SeedVR
...These models leverage advanced techniques such as adaptive attention mechanisms and adversarial training to produce visually appealing results in a single inference step, pushing the boundaries of video restoration research. SeedVR’s transformer-based design allows it to handle variable frame resolutions and lengths, and its architecture is optimized to overcome traditional limitations of windowed attention in high-resolution contexts. -
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Oasis
Inference script for Oasis 500M
...Instead of rendering a pre-built game world, the system produces the next visual state via a diffusion-transformer approach, effectively “imagining” the world response to your actions in real time. The project focuses on enabling action-conditional frame generation so developers can experiment with interactive, model-generated environments rather than static video generation alone. Because it’s an inference-focused repository, it’s especially useful as a practical reference for running the model, wiring inputs, and producing the autoregressive sequence of gameplay frames. It also serves as a research sandbox for people exploring how far interactive generative models can go with smaller, more accessible checkpoints compared to massive internal systems. -
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Video Frame Extractor
Extracts semi-random frames from all MP4 videos
This simple tool extracts frames from all MP4 videos in the same folder as this program. ## How to use: - Place this program in the folder containing your MP4 videos. - Double-click on VideoFrameExtractor.exe to run it. - When prompted, enter the number of frames you want to extract from each video. - Wait for the program to finish processing all videos. - Find your extracted frames in the 'extracted_frames' folder. The frames are extracted at evenly distributed points... -
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PyAV
Pythonic bindings for FFmpeg's libraries
...It enables developers to work with media containers, streams, packets, codecs, and frames, exposing low-level operations while simplifying some of the complexity of FFmpeg. The library is designed for precise media manipulation, making it suitable for applications that require frame-level access or custom processing pipelines. PyAV integrates well with other Python libraries such as NumPy and Pillow, allowing seamless data transformation and analysis. It supports decoding, encoding, filtering, and resampling operations, covering a wide range of multimedia tasks. While powerful, it requires a solid understanding of FFmpeg concepts, as it prioritizes flexibility and control over abstraction. ... -
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Pixel2Motion
AI logo animation skill: turn raster logos into smooth SVG animation
...It is built for designers and developers who need polished logo reveals without manually rebuilding every asset from scratch. Its workflow emphasizes visual quality, semantic SVG structure, and motion QA evidence. It also includes scripts for overlay checks, path audits, frame captures, and deterministic animation previews. -
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FFmpeg Quality Metrics
Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)
...It supports widely used metrics such as PSNR, SSIM, VIF, MSAD, and VMAF, enabling detailed comparison between reference and distorted video files. The tool outputs both per-frame data and aggregated statistics like averages and standard deviation, making it useful for research, encoding optimization, and benchmarking. It also includes optional visualization features through an interactive web-based dashboard for analyzing results graphically. Designed for cross-platform use, it integrates seamlessly into automated workflows and supports JSON or CSV output formats for further analysis. ... -
16
PyBoy
Game Boy emulator written in Python
...Developers can interact directly with game memory, inputs, and screen data, making it ideal for training bots and analyzing game mechanics. PyBoy emphasizes performance, enabling accelerated emulation speeds and frame skipping for large-scale simulations. It integrates with tools like OpenAI Gym, allowing seamless use in machine learning workflows. Overall, PyBoy is a versatile emulator that bridges retro gaming with modern AI development and research. -
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Agent Sprite Forge
Agent Skill for generating 2D sprite sheets and map, transparent PNG
...It focuses on generating production-friendly pixel art and animation assets that can be used in indie games, prototypes, and rapid iteration workflows. The system supports multi-frame sprite generation, animation sequencing, and transparent background rendering for easier integration into game engines. Its architecture is designed around automation and repeatability, enabling developers to generate large batches of visual assets through structured prompt workflows. Overall, agent-sprite-forge acts as an AI-assisted creative tool for accelerating 2D game art production and experimentation. -
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Video-subtitle-remover (VSR)
AI tool that removes hardcoded subtitles and text from videos locally
...This process aims to maintain the original resolution and visual continuity of the video after subtitle removal. It allows users to define a specific subtitle region so that only text in that area is removed rather than modifying the entire frame. It can also automatically remove text throughout the whole video when a position is not specified. In addition to video processing, the project supports removing text-like watermarks from images through similar techniques. The processing runs locally without requiring any external API services, enabling offline use and greater control over the data being processed. -
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Frigate
NVR with realtime local object detection for IP cameras
Frigate - NVR With Realtime Object Detection for IP Cameras A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead. -
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iptv-api
IPTV live stream source automatic update tool
...Users can customize channel templates, aliases, logos, EPG data, protocol preferences, geographic filters, providers, resolution, and speed requirements. The system measures latency, throughput, resolution, and frame rate while removing invalid, unavailable, or repetitive placeholder streams. Results can be categorized, cached, logged, analyzed, frozen, and restored as source quality changes. Deployment options include GitHub Actions workflows, a command-line interface, a graphical interface, and Docker images for several processor architectures. -
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LTX-2.3
Official Python inference and LoRA trainer package
LTX-2.3 is an open-source multimodal artificial intelligence foundation model developed by Lightricks for generating synchronized video and audio from prompts or other inputs. Unlike most earlier video generation systems that only produced silent clips, LTX-2 combines video and audio generation in a unified architecture capable of producing coherent audiovisual scenes. The model uses a diffusion-transformer-based architecture designed to generate high-fidelity visual frames while... -
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FramePack
Lets make video diffusion practical
FramePack explores compact representations for sequences of image frames, targeting tasks where many near-duplicate frames carry redundant information. The idea is to “pack” frames by detecting shared structure and storing differences efficiently, which can accelerate training or inference on video-like data. By reducing I/O and memory bandwidth, datasets become lighter to load while models still see the essential temporal variation. The repository demonstrates both packing and unpacking... -
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HunyuanVideo-Foley
Multimodal Diffusion with Representation Alignment
...Produces high-quality 48 kHz audio output suitable for professional use. Hybrid architecture combining multimodal transformer blocks and unimodal refinement blocks. Temporal alignment via frame-level synchronization modules (e.g. Synchformer). -
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ComfyUI-WanVideoWrapper
ComfyUI wrapper nodes for WanVideo and related models
...This design makes it easier to rapidly test new capabilities such as text-to-video and image-to-video generation while avoiding compatibility issues with the main framework. The project supports complex node-based pipelines where users can control sampling, conditioning, and frame continuity across generated sequences. It also enables extended video generation by linking outputs between iterations, allowing for longer and more coherent animations. Additionally, the wrapper often includes optimizations for performance, such as low VRAM configurations and multi-stage sampling strategies. -
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HunyuanVideo-I2V
A Customizable Image-to-Video Model based on HunyuanVideo
...It extends video generation so that given a static reference image plus an optional prompt, it generates a video sequence that preserves the reference image’s identity (especially in the first frame) and allows stylized effects via LoRA adapters. The repository includes pretrained weights, inference and sampling scripts, training code for LoRA effects, and support for parallel inference via xDiT. Resolution, video length, stability mode, flow shift, seed, CPU offload etc. Parallel inference support using xDiT for multi-GPU speedups. ...