Stable Diffusion Tutorial
Stable Diffusion is a generative artificial intelligence (Generative AI) model that generates unique images from text and image prompts. It is a text-to-image deep learning model based on diffusion techniques.
Artificial Intelligence has gone through a significant evolution in the last few years. From chatbots that supervise users just like humans to tools that generate images based on text descriptions, the advancements in the field have amazed all of us. This tutorial will discuss everything about Stable Diffusion.
What is Stable Diffusion?
Stable Diffusion is a text-to-image tool developed by Stability AI based on deep learning. It is open-source, and the code is publicly available, which can be modified and used. This enables you to use the features of stable diffusion in your product.
This model has recently gained attention due to its ability to generate high quality images with textual descriptions. The model is a combination of diffusion-based generative models and natural language models, which enables it to interpret complex relationships between textual and visual data.
Evolution of Stable Diffusion
Stable diffusion has seen multiple versions released within a short span. However, the first version was called Latent Diffusion, which was developed by CompVis; later, which evolved as Stable Diffusion. Let's explore the progression of the models −
- Stable Diffusion 1.1,1.2,1.3,1.4 − In August 2022, CompVis released the four versions of Stable Diffusion, where each version upgrade involved better training steps that enhanced the image quality and accuracy.
- Stable Diffusion 1.5 − This version was released by RunwayML in October 2022 and is one of the widely used versions for fine-tuning.
- Stable Diffusion 2.0 and 2.1 − Stability AI released these versions at the end of 2022; these versions didn't gain popularity like the previous version for its limited extension support.
- Stable Diffusion XL − This version was released in June 2023 with significant improvement at generating images up to 1024x1024 pixels and supports both LoRA and ControlNet.
- Stable Diffusion XL Turbo − SDXL Turbo was introduced in November 2023 to reduce the generation steps.
- Stable Diffusion 3 − This is the latest version released by Stability AI in February 2024. This version surpasses all the previous versions in terms of image quality and textual interpretation with superior performance.
Application of Stable Diffusion
Stable Diffusion is mostly used to generate images when the textual description, called 'prompt' is provided. Additionally, some tasks it is capable of are −
- Generating an Image From Another Image − This model also transforms an image to another based on the image inputted and prompt.
- Photo Editing − The model also allows users to edit or regenerate a part of an AI or real image.
- Make Videos − Deforum is a popular way to make a video from a text prompt. Additionally, the Stable Diffusion model can be used to generate video from prompting another video.
Features of Stable Diffusion
Stability Diffusion is a deep learning based text-to-image model that can generate images with great detail and complexity than other DL models. Some of the features of Stable Diffusion are −
- Customizability − Since the code of stable diffusion is available on their website . Hence, users can train various datasets and fine-tune to generate images of their choice.
- High Performance − Stable diffusion generates images with fine details and textures, which is quite challenging to achieve with other generative AI models.
- Transparent − Stable diffusion is an open-source, i.e., the code and model weights are available for the public. This allows users to understand and modify the operation of the model.
- Low-Cost − Since the model is open-source, it can be easily accessed, especially for businesses for marketing and product prototyping, this could be a huge cost cutdown.
- Less Data Dependency − Since the Stable Diffusion model operates in latent space and is pretrained on large datasets. This means that the model learns on compressed images, which requires less data.
Audience
This tutorial would be useful for someone in the creative and marketing fields. Also, for entrepreneurs to perform tasks like product prototyping and advertising to enhance their company. Additionally, the tutorial also consists of the workings and architecture of the model, which might help someone who is learning or researching machine learning.
FAQs on Stable Diffusion
There are some very Frequently Asked Questions (FAQs) on Stable Diffusion, this section tries to answer them briefly.
Stable Diffusion is a generative AI text-to-image model that geneates images from text.
Stable Diffusion provides good quality images, but it does have some limitations. The model can generate only up to 1024x1024. It is computationally intensive and time comsuming.
Yes, you can use stable diffusion generated images for commercial purposes. But keep in mind that there is always risk of generated image may resemble a copyrighted image.
Yes stable diffusion is free to use.
Stable Diffusion provides many customization capabilities that you can use to customise the image.
All stable diffusion models inclusing Stable Diffusion 2.0 and Stable Diffusion XL, can be used to generate animations.