Stable Diffusion web UI

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

Multi-Platform Package Manager for Stable Diffusion

Kandinsky 2 — multilingual text2image latent diffusion model

Stable Diffusion in pure C/C++

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

Beautiful and Easy to use Stable Diffusion WebUI

Generative AI for the Blender VSE: Text, video or image to video, image and audio in Blender Video Sequence Editor.

Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.

Personalization for Stable Diffusion via Aesthetic Gradients 🎨

基于Stable Diffusion优化的AI绘画模型。支持输入中英文文本，可生成多种现代艺术风格的高质量图像。| An optimized text-to-image model based on Stable Diffusion. Both Chinese and English text inputs are available to generate images. The model can generate high-quality images in several modern art styles.

[SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation

A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input, based on dreamfields.

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

Colab notebook for Stable Diffusion Hyper-SDXL.

Open reproduction of MUSE for fast text2image generation.

Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

Tiny Dream - An embedded, Header Only, Stable Diffusion C++ implementation