text2image

Stable Diffusion web UI

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

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

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

Library to accelerate Stable-Diffusion models into fastest inference models 🔥 🔥

Personalization for Stable Diffusion via Aesthetic Gradients 🎨

A curated list of Generative AI tools, works, models, and references

[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.

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.

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

A collection of arbitrary text to image papers with code (constantly updating)

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

Colab notebook to run Stable Diffusion.

Kandinsky 2.0 — multilingual text2image latent diffusion model

[ICLR2023] Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation (CDCD).

CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

Local image generation using VQGAN-CLIP or CLIP guided diffusion

Yet Another Stable Diffusion Discord Bot

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized