Stable Diffusion web UI

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

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.

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.

Using Low-rank adaptation to quickly fine-tune diffusion models.

🪩 Create Disco Diffusion artworks in one line

Stable diffusion for real-time music generation

Stable diffusion for real-time music generation (web app)

Kandinsky 2 — multilingual text2image latent diffusion model

An advanced singing voice synthesis system with high fidelity, expressiveness, controllability and flexibility based on DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

A compendium of informations regarding Stable Diffusion (SD)

Curated list of awesome resources for the Stable Diffusion AI Model.

Stable Diffusion in NCNN with c++, supported txt2img and img2img

Codes and Model of the paper "Text-to-Audio Generation using Instruction Tuned LLM and Latent Diffusion Model"

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

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.

Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.