Exploring AI Image Generation with Airbrush: Features, Examples and Review
Table of Contents
- Introducing Airbrush: AI-Powered Image Generation
- Testing Airbrush: Image Quality and Examples
- Comparing Stable Diffusion vs Dall-E 2 Engines
- Airbrush Review: The Pros and Cons
- Final Thoughts on Airbrush for AI Image Generation
Introducing Airbrush: AI-Powered Image Generation
Airbrush is a software that uses AI technology to generate images based on text descriptions, also known as prompts. It allows users to describe any image they want and ask the AI to generate it. Airbrush is one of several new tools that offer AI-powered image generation capabilities.
There are two AI engines currently available with Airbrush: Stable Diffusion, which is an open-source engine, and DALL-E 2, which is provided by OpenAI and known for high-quality image generation.
What is Airbrush and How Does it Work?
When using Airbrush, users simply enter a text description of the image they want to generate into the prompt field. They can select the AI engine, either Stable Diffusion or DALL-E 2, and the desired image dimensions. Then Airbrush will process the text prompt and use the selected AI engine to generate a corresponding image, which is displayed in the app interface within about 5 seconds on average. The Stable Diffusion engine is open-source and very affordable to use, consuming just 1 credit for a large 512x512 image. However, it may not always generate highly accurate images compared to DALL-E 2. The DALL-E 2 engine provides excellent image quality but uses more credits - about 10 credits for an extra large 1024x1024 image.
Airbrush Dashboard and Key Features
The Airbrush dashboard provides an easy-to-use interface for generating AI images. Key features include: Create Image - Enter text prompts and generate images with the selected AI engine and dimensions Image History - View, download, and delete previously generated images Image Upscaling - Sharpen and upscale low resolution images Search Gallery - Browse existing public image library by keyword Dark Mode - Switch interface to dark mode Overall, the tool is very user-friendly even for beginners while still providing advanced AI image generation capabilities.
Testing Airbrush: Image Quality and Examples
In testing Airbrush across a variety of text prompts, the DALL-E 2 engine consistently produced higher quality and more accurate images compared to Stable Diffusion. However, DALL-E 2 uses more credits. Some examples include:
A prompt for "an old man smoking a cigar wearing a leather hat sunset retro highly detailed realistic and punchy color" resulted in a meaningless messy image from Stable Diffusion. But DALL-E 2 generated an excellent image perfectly matching the prompt.
On the other hand, a simple prompt for a "smiling face and sad face" combined did not turn out well on DALL-E 2. So neither engine is perfect on every prompt.
The image upscaling feature was able to sharpen and reduce pixelation of low resolution images to a certain extent. While it did not perform perfectly, it provided noticeable improvements in test images.
Overall, DALL-E 2 generates higher quality images but uses more credits, while Stable Diffusion is more affordable but the image accuracy is lower.
Comparing Stable Diffusion vs Dall-E 2 Engines
Based on testing, there are some key differences between the Stable Diffusion and DALL-E 2 AI engines in Airbrush:
Image Quality: DALL-E 2 produces more photorealistic and accurate images for most prompts tested so far. Stable Diffusion images tend to be lower quality with more distortions or inaccuracies.
Credit Usage: DALL-E 2 uses significantly more credits to generate images - about 10 credits for an extra large 1024x1024 image versus just 4 credits with Stable Diffusion.
Customization: Stable Diffusion is open-source software that Airbrush hosts on its own GPU hardware. This allows for more flexibility and customization long-term compared to DALL-E 2 which is a fixed commercial product from OpenAI.
In summary, DALL-E 2 generates higher quality images but is more expensive to use, while Stable Diffusion offers a more affordable starting point but has lower image accuracy in initial testing.
Airbrush Review: The Pros and Cons
Based on hands-on testing and usage of the Airbrush platform, key pros include:
Easy-to-use interface and overall user experience
DALL-E 2 engine generates excellent image quality and accuracy
Fast image generation, with averages about 5 seconds per image
Useful image history and upscaling features
Helpful customer support
Some areas for improvement identified include:
Stable Diffusion image accuracy quite poor so far
Limited image dimension sizes (currently just small, large, extra large presets)
No way to organize generated images into folders or albums
Overall, Airbrush shows significant promise as an AI-powered creative tool, with some fantastic image generations from DALL-E 2. Further refinement of the Stable Diffusion engine and additional user feature requests could make it even more valuable going forward.
Final Thoughts on Airbrush for AI Image Generation
In conclusion, Airbrush provides an easy entry point into AI-powered image generation with a straightforward user experience. The integration with DALL-E 2, in particular, enables some very impressive image creations with just text prompts. As the product matures, improvements to Stable Diffusion quality and additional user features could make Airbrush an essential creative toolkit.
For those new to AI image generation or wanting an simple platform to get started, Airbrush has a lot to offer. The available lifetime deal provides great long-term value as capabilities continue to advance over time. Overall Airbrush shows potential to become a leader in accessible consumer AI creative tools.
Q: How accurate is Airbrush at generating images?
A: The Dall-E 2 engine provides more accurate image generation compared to Stable Diffusion in my testing. However, accuracy depends heavily on providing an detailed prompt.
Q: How many credits does Airbrush use to generate images?
A: Credit usage in Airbrush depends on size (small, large, extra-large) and AI engine. Dall-E 2 uses more credits - about 10 per extra-large image vs 4 credits for Stable Diffusion.
Q: What features does the Airbrush platform provide?
A: Key features include create image, search gallery, image upscaling, image history and simple prompting interface. There is a dark mode and account dashboard showing usage.
Q: What are the main pros and cons of Airbrush?
A: Pros are easy interface, good image quality with Dall-E 2, reasonable generation times. Cons are high Dall-E 2 credit costs, inability to organize images into folders, and limited output sizes.
Q: Can I get custom image sizes with Airbrush?
A: Currently only three sizes are supported - small (256x256), large (512x512) and extra-large (1024x1024). Custom sizes are not available.