Stable Diffusion

Stable Diffusion is a deep learning model designed specifically for converting text into images. It can generate high-quality, realistic images from any text description.

Stable Diffusion 1.x Series

• Stable Diffusion 1.1: One of the earliest versions, trained for 237,000 steps at a 256x256 resolution and 194,000 steps at a 512x512 resolution.
• Stable Diffusion 1.2: Continued training from version 1.1 with an additional 515,000 steps, using the "laion-improved-aesthetics" dataset.
• Stable Diffusion 1.3 and 1.4: These versions further optimized the model with more training steps and higher-quality datasets.
• Stable Diffusion 1.5: One of the most popular versions, trained for 595,000 steps and optimized on the laion-aesthetics v2 5+ dataset.

Stable Diffusion 2.x Series

• Stable Diffusion 2.0: Introduced a new text encoder and super-resolution models, allowing for higher resolution image generation (up to 2048x2048). It also added depth-guided image generation (depth2img), which can generate new images based on the depth information of input images.
• Stable Diffusion 2.1: Further optimized version 2.0, though it saw lower usage due to the model’s larger size.

Stable Diffusion 3.x Series

• Stable Diffusion 3: The latest version with significant improvements in multi-subject prompts, image quality, and spelling accuracy. This version is currently in early preview, with model parameters ranging from 800M to 8B.

Stable Diffusion XL (SDXL)

• SDXL 1.0: Released in July 2023, this version supports native 1024x1024 resolution and improves the generation of limbs and text in images.

Pricing Models

Subscription Plans

• Basic Plan: $10 per month, includes 200 minutes of GPU time.
• Standard Plan: $30 per month, suitable for users needing more computational resources.
• Premium Plan: $60 per month, offering higher computational resources and more features.

API Access

• Credits-Based Pricing: Users can purchase API access through credit plans, priced at $29, $49, and $149. These credit plans have no training fees, only API access fees.
• Credit Pricing: 1,000 credits cost $10, enough to generate approximately 500 SDXL images.

Key Application Scenarios

Art Creation and Design

• Creative Image Generation: Artists and designers can use Stable Diffusion to generate creative images, explore new visual styles, or find inspiration.
• Illustration and Concept Art: Used for generating illustrations, concept art, and character designs, helping artists quickly realize their creative ideas.
• Style Transfer: Transforms photos into specific artistic styles, such as Van Gogh’s painting style, or makes localized modifications, such as changing sky colors or enhancing details.

Game Development

• Game Asset Generation: Game developers can use Stable Diffusion to quickly create game assets like characters, environments, and props, accelerating prototype design and game content iteration.
• Dynamic Scene Generation: Generates high-quality game scenes based on text descriptions, improving development efficiency and enriching the visual diversity of games.

Film and Animation Production

• Background and Special Effects Generation: In film and animation production, Stable Diffusion can be used to generate backgrounds, special effects, or character designs, helping artists and directors bring their visual ideas to life.
• Video Content Creation: Designers can input keywords, descriptions, or style prompts to quickly generate various concept designs and artistic works.

Advertising and Marketing

• Ad Creatives: Used to generate creative advertising images, product packaging designs, website backgrounds, and more, enhancing the visual appeal of advertisements.
• Social Media Content: News outlets, social media platforms, and marketing teams can use the technology to automatically generate visual content for articles, blogs, and reports based on text descriptions.

Architecture and Product Design

• Concept Sketches and Renderings: Designers can use Stable Diffusion to quickly generate concept sketches, product renderings, scene layouts, and more, significantly boosting work efficiency.
• 2.5D Architectural Scenes: Generates three-dimensional architectural scene renderings for architectural design, game development, and other fields.

Education and Training

• Online Educational Materials: Generates images for educational and training materials, helping students better understand complex concepts.
• Medical Simulation: In the medical field, after appropriate training, models like Stable Diffusion can be used to simulate disease-affected areas or reconstruct normal tissue structures.

E-Commerce and Retail

• Product Image Generation: Generates brand-consistent product images, such as models for beauty and skincare products or packaging designs, enhancing product display effectiveness.
• Virtual Try-On: In the fashion industry, Stable Diffusion can simulate the effect of wearing different clothing, allowing users to virtually try on outfits.

Stable Diffusion was developed and open-sourced by Stability AI. The open-source version allows users to freely download, use, and modify the model, making it suitable for a wide range of personal and commercial uses.