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- Stable Diffusion - Overview
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- Stable Diffusion - Model Versions
- Stable Diffusion - XL
- Stable Diffusion 3 - Latest Model
- Stable Assistant
- Stable Fast 3D
- Stable Diffusion Vs Other Models
Stable Diffusion Useful Resources
Stable Diffusion Vs. Other Models
There are a lot of tools and models coming up each day in the generative AI field. It gets really hard to distinguish among these and choose the right one. This chapter compares different image-generating tools based on various capabilities.
AI Image-Generating Models
Before we compare image-generating models, let's understand the working and types of machine learning models used.
Diffusion Models
Diffusion models are trained on image-caption pair datasets. After the process of training, the model learns to understand and interpret the text prompt provided by the user, creates a low-resolution image, and gradually adds details to turn it into a full image - the attributes provided in the prompt with high resolution.
Latent Diffusion Model is an improvement on diffusion modeling in latent space. This model consists of an encoder where the prompt is interpreted which is then converted into compressed version called latent space. The next step would be diffusion process which involved adding noise. The last component would be decoder which reconstructs the image.
Generative Adversarial Networks (GANs)
In this approach, two neural networks are combined against each other. One network being the Generator, which is responsible for creating images. And the other network is the Discriminator which is used to determine whether the created image is real or fake.
Transformer Models
Transformers are designed by Google to improve natural language processing, speech recognition, and text autocompletion. This model is responsible for understanding and interpreting the meaning of the prompt to transform data points into visual representations.
AI Image-Generating Tools
There are many text-to-image generating tools available in the market. These tools use one or more image generating machine learning models that we have discussed above.
Let's have a look at some popular text-to-image generating tools −
DALL-E
DALL-E is a text-to-image model developed by OpenAI. It has unique capabilities to generate images using the natural language as prompts. The latest model DALL-E 3 was released in October 2023. DALL-E 3 can be accessed through ChatGPT.
Midjourney
Midjourney is a generative Artificial Intelligence tool that generates images from natural language description. It takes prompts similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.
Adobe Firefly
Adobe Firefly is a family of generative AI models that power features in Adobe Photoshop.
Stable Diffusion vs. DALL-E vs. Midjourney
The table below compares Stable Diffusion with other text-to-image generating tools based on a few features −
Features | Stable Diffusion | DALL-E | Adobe Firefly | Midjourney |
---|---|---|---|---|
Developer | Stability AI | OpenAI | Adobe Firefly | Midjourney |
Release Date | August 2022 | January 2021 | 2023 | July 2022 |
Model type | Latent Diffusion Model | Transformer Based Model | Autoencoder and GAN's | Diffusion Model |
Access options | Dream studio, Hugging face, locally, Google Colab, and API | ChatGPT interface and API | Adobe apps, Firefly web app, Photoshop, InDesign and API | Bot on Discord |
Image Quality | The default size set is 512 x 512, however it varies with model or version | The three sizes include 1024x1024, 1024x1729 and 1729x1024 | Maximum resolution is 2000x2000 | 1024 x 1024 pixel image |
Pricing | Free access to personal and non-commercial purposes. Requires a license for commercial purposes. | Open-source | It is free with 25 generative credits per month. | Subscription-based |
Strengths | Flexibility, ability to customize and open-source | Creative and high-quality images | Integration with Adobe tools makes it easy to access and high image quality. | Features and artistic styles |