This project is a plugin for Krita that integrates Stable Diffusion image generation and editing tools directly into the painting interface. It functions as a remote diffusion backend client, bridging the digital canvas to local or remote servers to handle the computation required for AI image generation. The system distinguishes itself through a real-time painting interface that translates brushstrokes into generated imagery as the artist works. It acts as a structural orchestrator, using sketches, depth maps, and poses to maintain precise composition, and provides a generative inpainting to
This project is an integrated creative interface for image manipulation that combines generative canvas expansion, object segmentation, and diffusion-based inpainting. It functions as an extension for Stable Diffusion, providing a workflow to isolate specific elements and perform targeted content modifications through prompt-guided synthesis. The tool distinguishes itself by automating the creation of precise selection masks, allowing users to identify and isolate objects by pointing to them rather than manually drawing selections. By chaining segmentation models with generative diffusion pip
DiffusionBee is a Stable Diffusion desktop client for macOS that functions as an AI image generator and editor. It allows for the local generation of images from text prompts and the management of diffusion models without requiring external cloud services or technical setup. The application includes a local diffusion model manager for importing and switching between custom trained model files to achieve specific artistic styles. It also features a system for tracking generation history and uploading assets to a public gallery. The software covers several image synthesis and manipulation work
This repository is a collection of node-based pipeline configurations, examples, and templates for generating AI media. It provides a workflow library and a curated gallery of blueprints designed for creating images, videos, and 3D assets using diffusion models. The project specifically offers a set of pre-configured node graphs for implementing advanced image generation and refinement techniques, with a focus on Stable Diffusion workflows. These examples demonstrate how to interconnect processing nodes to define complex generative logic without writing code. The available templates cover a
Acest proiect este o extensie Stable Diffusion WebUI pentru interfața Forge, care implementează un model de difuzie cu straturi latente. Acesta servește drept generator de imagini transparente AI, conceput pentru a produce imagini cu canale alfa, permițând separarea automată a elementelor din prim-plan de fundalul lor.
Principalele funcționalități ale lllyasviel/sd-forge-layerdiffuse sunt: Latent Transparency Generation, AI Transparent Image Generators, Layered Diffusion Models, Generative Layer Compositing, Foreground Layer Generation, Generative Foreground Isolation, Conditional Backgrounds, WebUI Extensions.
Alternativele open-source pentru lllyasviel/sd-forge-layerdiffuse includ: uminosachi/sd-webui-inpaint-anything — This project is an integrated creative interface for image manipulation that combines generative canvas expansion,… divamgupta/diffusionbee-stable-diffusion-ui — DiffusionBee is a Stable Diffusion desktop client for macOS that functions as an AI image generator and editor. It… acly/krita-ai-diffusion — This project is a plugin for Krita that integrates Stable Diffusion image generation and editing tools directly into… comfyanonymous/comfyui_examples — This repository is a collection of node-based pipeline configurations, examples, and templates for generating AI… lucidrains/stylegan2-pytorch — This project is a PyTorch implementation of StyleGAN2, providing a library and research framework for training… huggingface/diffusion-models-class — This project is an educational course and collection of training materials focused on generative diffusion models. It…