text-to-image

The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a single command, no API glue code.

Easy Diffusion is an advanced Stable Diffusion Notebook with a feature rich image processing suite.

Using StableDiffusion and ControlNet to generate synthetic aerial images

AI视觉创作套件，集图解、绘画、编辑和视频生成于一体。支持Vercel一键部署

AI agent that turns your rough ideas into perfect image generation prompts. 7-component formula, 70+ creative techniques, 9 domain modes.

FastAPI wrapper for Meta AI with chat, image generation & video generation. Easy deployment with cookie-based auth. 🚀

Official code repo for "Editing Implicit Assumptions in Text-to-Image Diffusion Models"

Jupyter Notebooks for experimenting with negative prompting with Stable Diffusion 2.0.

The most complete, up-to-date comparison of AI image generation models — which model, via which API, at what price.

Tiny local text-to-24x24 pixel art model, trained on roughly 200K samples in 30 minutes on an RTX 5090.

A curated list of awesome stable diffusion resources 🌟

Open agentic prompt-expansion harness for image and video generation, bridging polished demos, public APIs, and deployable workflows.

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

Text to Image Diffusion Models in Keras

A Stable Diffusion Demo with React and FastAPI

Unofficial Implementation of the Google Paper - https://sketch-guided-diffusion.github.io/

Free AI Image Generator API — Nano Banana Pro (Gemini 3.0 Pro). Create ultra-realistic images, edit photos, and generate stunning AI visuals in seconds — 100% free, no watermark. The ultimate AI Image solution for creators and developers.

[IEEE TCSVT2023] A Fine-grained Subjective Perception & Alignment Database for AI Generated Image Quality Assessment

we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. By jointly learning on multiple color-shape images, we found that the method can successfully disentangle the color and shape concepts.

text to image generation with stable diffusion