We all have emotions, but not many people are blessed with the ability to convey them well.
This is why most musicians who are strong performers need assistance in channeling their emotions. But what if you are not good with words? Well, then you can paint your feelings.
However, you know what they say? Picasso was not built in one day.
Likewise, if you don’t consider your art up to par yet, you can seek assistance from some AI tool.
In fact, img2img stable diffusion is best for converting your raw doodles or even images into a much more enhanced and realistic version. Now, if you are wondering how to use img2img stable diffusion, then that’s what this article is about.
Here, I will primarily discuss the step-by-step process of using img2img stable diffusion.
Additionally, I will briefly discuss the platform’s functioning, its benefits and limitations, device compatibility, pricing plan, and, of course, AUTOMATIC1111 GUI software setup!
Img2img: In a Nutshell
Before I discuss img2img in Stable Diffusion, let’s quickly skimp through its basic information.
In the table below, I have briefly talked about the platform’s basic functioning, key parameters, free and paid versions, device compatibilities, and, of course, their GPUs.
|Img2img Stable Diffusion
|Creating an entirely new image from an image that already exists.
|Editing within minutesRealistic imagesIntuitive interfaceImage transition in a seamless manner
|$10 Per Month
|Device Compatibility (Free version)
|Any Device with Internet and Web Browser
|Device Compatibility (Paid version)
|Any Device with a GPU
|Graphics Processing Unit
|Shared GPU Host (Free version) – Slow generationSpecific GPU Host (Paid version) – Fast Generation
What Is img2Img Stable Diffusion?
Img2img is specially used to create an image out of an already existing one and text prompts. What it does is take the colors and composition from the original image and further enhance it. Plus, the final result of img2img stable diffusion is mostly realistic.
Speaking of stable diffusion, it is a learning model that adds noise to your original image without messing up with the image’s essential features, such as colors, composition, etc.
Now, if you are curious about using img2img stable diffusion, you will need an input image. Keep in mind if you have a certain image that you want to create, then the original image that you’re enhancing it out of must resemble it.
Once you have sorted the essentials, simply give the platform a prompt describing how your final product should be.
For example, your original image could be a Taylor Swift hand-made sketch, and in that case, you can text prompt it as “make it realistic with bold colors.”
Benefits and Limitations of img2Img Stable Diffusion
Now, if you’re curious about accessing the platform, you can opt for quite a few tools/software! One of the most popular ones is Dream by Wombo, which is free to use.
However, another in-demand software for img2img stable diffusion is AUTOMATIC1111 GUI.
Having said, before you jump right into the platform’s functioning, let’s check out its benefits and limitations first:-
- Realistic images
- constantly improving
- free of cost
- Slow image generation
- The Outcome is not always perfect
- Biased Model.
Setting Up The img2Img Software In Stable Diffusion
The supporting software for img2img stable diffusion that I am using today is AUTOMATIC1111 GUI. In order for you to doodle, you must enable the color sketch tool.
Unfortunately, it’s not already embedded within the platform. Hence, you will have to enable the color sketch tool manually. To do so, follow the steps mentioned below:-
1: Head to webui.py, and run –gradio-img2img-tool color-sketch.
2: Go to your Stable Diffusion folder and edit the webui-user.bat file on your system.
3: Instead of “set COMMANDLINE_ARGS=”, make it “set COMMANDLINE_ARGS=–gradio-img2img-tool color-sketch”.
How To Use img2Img? (Step-By-Step Guide)
Now that you are familiar with the color sketch tool and the software setup let’s go through the step-by-step process to convert a simple image into a much more realistic version.
1: Click on the img2img table in your AUTOMATIC1111 GUI and upload any image.
2: Now, upload a blank canvas.
(It can be of any color of your choice; just make sure your set pixels are 512×512.)
3: Now, with the help of the color palette, draw any figure that you want.
(Don’t be too stressed about drawing perfectly; just get the colors and shape right.)
4: In the Dropbox of Stable Diffusion, click on v1-5-pruned-emaonly.ckpt.
5: Now, enter a prompt that best describes your desired outcome.
6: Finally, adjust the picture settings as per your desire.
(Remember, increasing the denoising strength would make the outcome more realistic. However, if you decrease the strength, your outcome will be much similar to your original drawing.)
NOTE: You can go through another round of img2img if you’re not satisfied. In addition, that would add much more detail to your final outcome.
Is Img2img Stable Diffusion Free of Cost?
Img2img in Stable Diffusion is indeed free of cost.
Plus, there are no restrictions on how many images you generate with the software. The only issue is the free version is hosted on the shared GPU. And because of this, the Generation time is slowed down sometimes.
However, if you want to speed up the process, you can upgrade to Img2img Stable Diffusion’s paid version. Moreover, it’s only $10/ Month and has a dedicated GPU.
What Devices Are Compatible With Img2Img Stable Diffusion?
The device compatibility shifts depending on the Stable Diffusion version you’re using.
Speaking of which, the free version is compatible with any device with a basic internet connection and Web Browser. Unfortunately, the image generation time is slow.
Likewise, the paid version will be compatible with any device with a GPU. And the higher the GPU, the faster the image generation time would be.
The Final Verdict!
Because of its benefits, there is a lot of potential for img2img stable diffusion, especially in the virtual world. For those unaware, the platforms take a simple image and further enhance it by taking its basic properties, such as shape, color, and composition.
You can either use img2img’s free version (which is mostly recommended) or opt for the paid one, $10/ Month.
Now, you might be confused about which version you should go for! Due to the lack of GPU on the free version, image generation is comparatively slower than the paid version.
Therefore, if you’re a professional with less time, go for the paid version.
However, if you’re simply experimenting with the AI tool, the free version is good enough as it only has two requirements: Internet Connection and Browser.
The deep learning-based model performs the diffusion process on an original image. In simple words, the original image is further transformed into its enhanced version with neither distortion nor the use of any programming language.
Follow the instructions below to make a stable diffusion using Img2img:-
Set any colored background > the pixels must be 512×512 > draw any doodle > select the v1-5-pruned-emaonly.ckpt from Stable Diffusion Dropbox > enter the prompt > adjust the picture settings > increase the denoising strength.
The platform is indeed free of cost. However, the image generation is much slower in comparison to the paid version, which is $10/ Month. And that’s because the paid version supports the GPU. Moreover, if you know anything about the Graphics Processing Unit, the higher its frequency, the faster the result.
Depending on the Stable Diffusion version you’re accessing, the device compatibility of the platform changes too. For instance, the free version is compatible with any device with a basic internet connection and Web Browser. Whereas the paid version will be compatible with any device with a GPU.