Imagen
easydiffusion
An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts an…
★ 10,5k estrellasUnknown
Ver la guía →dream-textures es un proyecto de imagen de código abierto de carson-katri (carson-katri/dream-textures en GitHub). Tiene 8.212 estrellas en GitHub y 436 bifurcaciones, se publica bajo la licencia GPL-3.0 y se actualizó por última vez en GitHub el 17 de septiembre de 2026.
Stable Diffusion built-in to Blender
Generation studio, upscaler, background remover, or photo library — match the tool to the task.
Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.
Generation tools need checkpoint files; utilities like upscalers usually bundle everything.
Generate, enhance, or import — then export, share, or keep building your library.
Self-hosted managers with AI tagging, face recognition, and deduplication.
Single-job tools (upscale, de-background, restore) that do one thing excellently.
Bring any compatible open checkpoint; you are never locked to one vendor's style.
Your images stay on your machine — important for client work and privacy.
The defining trait of this whole category: professional results without monthly fees.
Edits stay reversible; originals are never touched.
Download the source and move into the project folder.
git clone https://github.com/carson-katri/dream-textures.git
cd dream-texturesEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at carson-katri/dream-textures with 436 forks. Check the repo's contributors and recent commits to see how active maintenance is.
GPL-3.0 — free to use, but derivative works must stay open.
Generation benefits hugely from one; upscalers and photo managers are far lighter.
For generation: a polished studio interface. For enhancement: a dedicated upscaler. For libraries: a photo manager.
With the right open checkpoints, absolutely — the interface matters less than the model you load.
An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts an…
Stable Diffusion web UI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, a…
Run Stable Diffusion on Android Devices with Snapdragon NPU acceleration. Also supports CPU/GPU inference.
On-device AI SDK for Android — LLM chat, Stable Diffusion and image tools
ControlNet — the original conditional control for diffusion models: steer Stable Diffusion with edges, depth, pose and scribbles instead of prompts alone, Apache-2.0
Los demás proyectos de Imagen con más estrellas del catálogo de LibreAI: la lista realista de alternativas si dream-textures no es lo que buscas.
Stable Diffusion web UI
The node-graph powerhouse for precise, professional AI image and video generation.
High performance self-hosted photo and video management solution
PhotoCraft — a clean-room Photoshop reimplementation in pure Rust: layers, masks, adjustment layers, type, vectors, brushes and real PSD files, offline, MIT / Apache-2.0
Focus on prompting and generating
Proyectos de Imagen cercanos en el catálogo, los más próximos en estrellas a dream-textures: sigue explorando a ambos lados.
Animated sprite editor & pixel art tool -- Fork of the last GPLv2 commit of Aseprite
A self-hosted open source photo management service
Multi-Platform Package Manager for Stable Diffusion
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
Unleash your creativity with Pixelorama, a powerful and accessible open-source pixel art multitool. Whether you want to create sprites, tiles, animations, or…
Run Stable Diffusion on Mac natively
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.