How to Use Stable Diffusion Img2Img & Features

Stable Diffusion is a powerful and versatile AI model that can generate images from text, modify images based on text, or fill in details on low-resolution or low-detail images.

It has produced results similar to those from DALL-E 2 and MidJourney thanks to training on billions of images.

In this post, we will show you how to use Stable Diffusion Img2Img, a feature that allows you to perform image-to-image transformations using Stable Diffusion. We will also explore the features and benefits of using Stable Diffusion Img2Img for your creative projects.

What is Stable Diffusion

Stable Diffusion is an open-source machine learning model that uses the principles of diffusion processes to generate high-quality images from text prompts. It was developed by Stability AI, a leading technology company based in Russia.

Stable Diffusion uses a variational autoencoder (VAE) to encode and decode images to and from latent representations, a UNet model to denoise the encoded image latents, and a CLIP model to condition the generation on text prompts.

Stable Diffusion can handle a wide range of topics and tasks, such as answering questions, writing texts, drawing pictures, etc.

What is Stable Diffusion Img2Img

Stable Diffusion Img2Img is a feature that allows you to use Stable Diffusion for image-to-image generation by passing a text prompt and an initial image to condition the generation of new images.

The feature uses the diffusion-denoising mechanism proposed in SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations by Chenlin Meng et al.

The idea is to first add noise to the input image, then subsequently denoise it through the Stable Diffusion model to increase its realism and match the text prompt. Stable Diffusion Img2Img can be used for various image manipulation tasks, such as inpainting, outpainting, image-to-image translation, etc.

How to Use Stable Diffusion Img2Img

To use Stable Diffusion Img2Img, you need to follow these simple steps:

1. Getting Ready

First, you’ll need to download and install a program called Python (the newest version is best). Also, get the Img2Img library because it’s the main tool you’ll use to change one image into another.

2. Setting Things Up

Create a special space on your computer called a virtual environment for all your Python tools. This helps everything work smoothly.

Keep your pictures and any work you do in organized folders, so it’s easy to find. If you’re working with big pictures, make sure your computer’s settings, especially the GPU, are ready to handle them.

3. Preparing Your Image

Start with a simple background that’s 512×512 pixels, either black or white. Then, draw or sketch your main image. You don’t need to make it perfect; just focus on the main shapes and colors.

4. Using Img2Img

With your sketch ready, you’ll use the Img2Img tool. Choose the “v1-5-pruned-emaonly.ckpt” option. Describe what you want your final picture to look like, for example, “a realistic banana with shiny water droplets”.

Type that description in. Set the picture size to 512×512 pixels, choose other settings (like sampling method), and let it do its thing.

5. Finish the Image

Now, the software will use a process called diffusion to turn your sketch into the final picture you described.

What are the Features of Stable Diffusion Img2Img

Stable Diffusion Img2Img offers many features that make it a smart and flexible AI model for image-to-image generation. Some of the features are:

  • Endless creative possibilities: You can use any text prompt and any initial image you want to create new images with Stable Diffusion Img2Img. You can also try different prompts and images and see how they change the output.
  • Multimodal conversations: You can not only talk to Stable Diffusion but also see its output in different modes, such as text or image. You can also ask Stable Diffusion to generate images from texts or texts from images.
  • Easy sharing: You can share your results with your friends and family on social media platforms with just one tap. You can also save your results to your device or copy the link to paste it anywhere you want.

Stable Diffusion Pricing

1. Prices for Different Plans:

  • Basic Plan: For $9 a month, you can make 999 images. Each image takes about 4 seconds. It’s best for people just playing around. You can ask it to make up to 5 images every second.
  • Standard Plan: For $49 a month, you can make 9999 images, each in 4 seconds. It’s good for beginners who want to use more tech features. You can ask for up to 10 images every second.
  • Premium Plan: At $149 a month, you can make as many images as you want. Each image takes about 2 seconds. This plan’s great for apps with lots of users. You can ask for 15 images every second.

These plans have yearly options which can save you money.

2. Free for Personal Use

You can use Stable Diffusion for free if it’s just for fun. But if you’re making money from it, you need to buy a special license.

The price of this license depends on what you’re doing. Also, remember there could be extra costs for things like computer power or storing the pictures you make.

3.Buying Credits

You can buy special credits for a model named Dreambooth. The prices are $8, $49, and $149. This just lets you use the tool and doesn’t include any training fees.

4. Price for Lots of Images

There’s a deal where you pay $1000 to make 100,000 pictures. If you want this, go to a certain platform, click your profile, click “Membership”, and then click “Purchase” under API partners.

Read Also: How to Solve Janitor AI Failed to Fetch Kobold Error


Stable Diffusion Img2Img is an innovative feature that lets you use Stable Diffusion for image-to-image generation by passing a text prompt and an initial image to condition the generation of new images.

The feature uses the diffusion-denoising mechanism to create realistic and coherent images that match the text prompt and the initial image. You can also share your results on social media platforms with your friends and family.

The feature is free to use for creating images, but some features require in-app purchases or subscriptions. The feature also claims to respect your data privacy and security by encrypting your data in transit and allowing you to request that data be deleted.

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