Overview
Stable Diffusion is a versatile platform that leverages generative AI to activate human potential across multiple domains. It provides open models in diverse modalities, making them accessible to all users across different locations.
Stable Diffusion includes a suite of models for different applications: 'Stable Diffusion 3 Medium' for advanced text-to-image transformations focusing on photorealism and complexity; 'Stable Video Diffusion' as an open generative AI video model; 'Stable Audio 2.0' for high-quality music and sound effects generation using advanced audio diffusion technology; 'Stable Video 3D' for quality 3D object generation from single images; and 'Stable LM 2 1.6B' for experiencing cutting-edge open access language models.
Stable Diffusion also offers options for self-hosting their state-of-the-art models, providing greater flexibility for diverse generative AI needs. Additional features include Stable Assistant, Stable Artisan, and a platform API for embedding AI capabilities into other applications.
To enhance safety and reliability, Stable Diffusion provides self-hosted licenses and maintains a strict acceptable use policy.
Releases
Efficiency and Accessibility: With 2.5 billion parameters, the model is optimized to run “out of the box” on consumer hardware, requiring only 9.9 GB of VRAM (excluding text encoders). This low hardware requirement removes barriers for startups and creators who may not have access to high-end GPUs.
Advanced Multi-Resolution Capabilities: The model offers superior image generation quality with advanced multi-resolution techniques. This results in better prompt adherence and overall image fidelity compared to previous models.
Open Model for All Uses: Stable Diffusion 3.5 Medium is free for both commercial and non-commercial use, encouraging widespread adoption and experimentation within the community.
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54,96625Released 3mo agoFree + from $9.99/moSix months ago I was building some landing pages and found myself wasting way too much time downloading stock photos, cropping them, resizing, rehosting... the whole thing felt broken. I looked around for a tool that just let me describe the image I wanted and get it in the right format instantly—but nothing really existed. So I built Inliner AI. Now when I need an image, I just write what I want directly into a URL like this: https://img.inliner.ai/my-project/panda-playing-guitar-on-stage_1200x750.png Hit enter and boom Inliner generates an original AI image, intelligently cropped, resized for the web, and served instantly via CDN. Need a quick edit? Just append it to the URL: .../remove-the-guitar_900x750.png No uploads, no UI, no waiting. You can also upload your own products, people, or logos and compose them into generated scenes. For more control, there's a Studio web GUI where you can play with prompts and dimensions and compare variants side by side before committing. Where this gets really powerful is when you show your LLM how to use these URLs. Once it knows the pattern like: https://img.inliner.ai/my-project/xxx-yyy-zzz.png It can generate, tweak, and iterate on image assets dynamically, right inside your prompts or your code. Everything stays self contained in the link. We also include copy/pasteable instructions for Claude, GPT, Cursor, and more so you can wire this up in minutes. If you're building a product, designing a page, or just prototyping something new try it out and let me know what you think!



