Showing 7 open source projects for "x-mind"

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  • 1
    ArtCraft-X

    ArtCraft-X

    A minimal desktop app for AI creation

    ArtCraft-X is an early experimental desktop application for AI-assisted creative work across images, video, audio, 3D meshes, and generated worlds. It is designed as a minimal companion within the broader ArtCraft ecosystem. The desktop shell uses Tauri 2 with a Rust backend rather than an Electron-style runtime. Its frontend is developed with modern JavaScript and TypeScript tooling through Vite.
    Downloads: 5 This Week
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  • 2
    ComfyUI

    ComfyUI

    The most powerful and modular diffusion model GUI, api and backend

    ComfyUI is the most powerful and modular diffusion model is GUI and backend. This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our...
    Downloads: 3,038 This Week
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  • 3
    ArtCraft

    ArtCraft

    Crafting engine for artists, designers, and filmmakers

    ...Rather than relying purely on text prompts, ArtCraft emphasizes visual manipulation, compositional control, and iterative refinement so creators can treat AI output more like a malleable creative medium. The application is built with performance and responsiveness in mind, enabling users to move between different creative canvases and asset workflows within a unified interface. It aims to support complex multimedia generation workflows including image, video, and potentially 3D content creation, making it useful for experimental filmmaking and advanced visual design.
    Downloads: 283 This Week
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  • 4
    stable-diffusion.cpp

    stable-diffusion.cpp

    Diffusion model (SD, Flux, Wan, Qwen Image, Z-Image...) inference

    stable-diffusion.cpp is a lightweight, high-performance implementation of Stable Diffusion and related generative models written entirely in portable C/C++, designed to run on virtually any device without heavy dependencies. It enables text-to-image and image-to-image generation, supports a growing set of models like SD1.x, SD2.x, SDXL, SD-Turbo, Qwen Image, and more, and is continually updated with support for cutting-edge model variants including video and image editing models. The project is built on the ggml backend, which allows efficient execution on CPUs and GPUs via backends like CUDA, Vulkan, Metal, OpenCL, and SYCL, making it suitable for everything from desktops to mobile devices. ...
    Downloads: 101 This Week
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    KoboldCpp

    KoboldCpp

    Run GGUF models easily with a UI or API. One File. Zero Install.

    KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features.
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    Downloads: 418 This Week
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  • 6
    x-unet

    x-unet

    Implementation of a U-net complete with efficient attention

    Implementation of a U-net complete with efficient attention as well as the latest research findings. For 3d (video or CT / MRI scans).
    Downloads: 0 This Week
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  • 7
    DALL-E 2 - Pytorch

    DALL-E 2 - Pytorch

    Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis

    ...Specifically, this repository will only build out the diffusion prior network, as it is the best performing variant (but which incidentally involves a causal transformer as the denoising network) To train DALLE-2 is a 3 step process, with the training of CLIP being the most important. To train CLIP, you can either use x-clip package, or join the LAION discord, where a lot of replication efforts are already underway. Then, you will need to train the decoder, which learns to generate images based on the image embedding coming from the trained CLIP.
    Downloads: 0 This Week
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