Showing 15 open source projects for "stable diffusion"

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  • 1
    Stable Diffusion WebUI

    Stable Diffusion WebUI

    Web interface for generating images using Stable Diffusion models

    This project provides a powerful web-based interface for running Stable Diffusion, a text-to-image generation model. Developed by AUTOMATIC1111, it supports numerous features like model customization, prompt history, image upscaling, inpainting, and batch processing. The WebUI is beginner-friendly yet powerful enough for advanced users, becoming one of the most popular community-run UIs for AI image generation.
    Downloads: 46 This Week
    Last Update:
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  • 2
    Stable Diffusion

    Stable Diffusion

    High-Resolution Image Synthesis with Latent Diffusion Models

    Stable Diffusion Version 2. The Stable Diffusion project, developed by Stability AI, is a cutting-edge image synthesis model that utilizes latent diffusion techniques for high-resolution image generation. It offers an advanced method of generating images based on text input, making it highly flexible for various creative applications. The repository contains pretrained models, various checkpoints, and tools to facilitate image generation tasks, such as fine-tuning and modifying the models. ...
    Downloads: 190 This Week
    Last Update:
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  • 3
    AUTOMATIC1111 Stable Diffusion web UI
    AUTOMATIC1111's stable-diffusion-webui is a powerful, user-friendly web interface built on the Gradio library that allows users to easily interact with Stable Diffusion models for AI-powered image generation. Supporting both text-to-image (txt2img) and image-to-image (img2img) generation, this open-source UI offers a rich feature set including inpainting, outpainting, attention control, and multiple advanced upscaling options.
    Downloads: 257 This Week
    Last Update:
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  • 4
    Core ML Stable Diffusion

    Core ML Stable Diffusion

    Stable Diffusion with Core ML on Apple Silicon

    Run Stable Diffusion on Apple Silicon with Core ML. python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python. StableDiffusion, a Swift package that developers can add to their Xcode projects as a dependency to deploy image generation capabilities in their apps.
    Downloads: 0 This Week
    Last Update:
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  • 5
    ComfyUI

    ComfyUI

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

    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.
    Downloads: 452 This Week
    Last Update:
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  • 6
    Stable Diffusion in Docker

    Stable Diffusion in Docker

    Run the Stable Diffusion releases in a Docker container

    Run the Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint. Run the Stable Diffusion releases on Huggingface in a GPU-accelerated Docker container. By default, the pipeline uses the full model and weights which requires a CUDA capable GPU with 8GB+ of VRAM. It should take a few seconds to create one image.
    Downloads: 0 This Week
    Last Update:
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  • 7
    Fooocus

    Fooocus

    Focus on prompting and generating

    Fooocus is an open-source image generation software that simplifies the process of creating images from text prompts. Built on Gradio and leveraging Stable Diffusion XL, Fooocus eliminates the need for manual parameter tweaking, allowing users to focus solely on crafting prompts. It offers a user-friendly interface with minimal setup, making advanced image synthesis accessible to a broader audience.
    Downloads: 194 This Week
    Last Update:
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  • 8
    ImageReward

    ImageReward

    [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences

    ...It is provided as a Python package (image-reward) that enables quick scoring of generated images against textual prompts, with APIs for ranking, scoring, and filtering outputs. Beyond evaluation, ImageReward supports Reward Feedback Learning (ReFL), a method for directly fine-tuning diffusion models such as Stable Diffusion using human-preference feedback, leading to demonstrable improvements in image quality.
    Downloads: 0 This Week
    Last Update:
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  • 9
    Dream Textures

    Dream Textures

    Stable Diffusion built-in to Blender

    ...Inpaint to fix up images and convert existing textures into seamless ones automatically. Outpaint to increase the size of an image by extending it in any direction. Perform style transfer and create novel animations with Stable Diffusion as a post processing step. Dream Textures has been tested with CUDA and Apple Silicon GPUs. Over 4GB of VRAM is recommended.
    Downloads: 8 This Week
    Last Update:
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  • 10
    InvokeAI

    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.
    Downloads: 10 This Week
    Last Update:
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  • 11
    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.
    Downloads: 460 This Week
    Last Update:
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  • 12
    Stable-Dreamfusion

    Stable-Dreamfusion

    Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion

    A pytorch implementation of the text-to-3D model Dreamfusion, powered by the Stable Diffusion text-to-2D model. This project is a work-in-progress and contains lots of differences from the paper. The current generation quality cannot match the results from the original paper, and many prompts still fail badly! Since the Imagen model is not publicly available, we use Stable Diffusion to replace it (implementation from diffusers).
    Downloads: 0 This Week
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  • 13
    macara

    macara

    A converter for seamless transformation of files, data, and media ...

    ...Serving as a versatile tool, it facilitates efficient file management, especially when handling a substantial volume of images, whether sorting by name or other attributes. These scripts are crafted to complement generative art AI technologies like Dall-e or stable diffusion.
    Downloads: 0 This Week
    Last Update:
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  • 14
    G-Diffuser Bot

    G-Diffuser Bot

    Discord bot and Interface for Stable Diffusion

    The first release of the all-in-one installer version of G-Diffuser is here. This release no longer requires the installation of WSL or Docker and has a systray icon to keep track of and launch G-Diffuser components. The infinite zoom scripts have been updated with some improvements, notably a new compositer script that is hundreds of times faster than before. The first release of the all-in-one installer is here. It notably features much easier "one-click" installation and updating, as well...
    Downloads: 0 This Week
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  • 15

    scripthea

    Scripthea is designed to streamline of crafting prompts for T2I gen.

    Scripthea is a free, open-source Windows application designed to streamline the process of crafting prompts for text-to-image AI generators like Stable Diffusion. Scripthea offers a structured environment for building, testing, and refining prompts, making it an invaluable tool for artists, designers, and AI enthusiasts seeking greater control over their creative outputs. At its core, Scripthea simplifies prompt engineering by breaking down prompts into two components: cues (descriptive text) and modifiers (attributes like style, lighting, or artist references). ...
    Downloads: 0 This Week
    Last Update:
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