A user-friendly frontend for the Stable Diffusion toolkit, which implements a machine learning algorithm to generate images from text. #Stable Diffusion GUI #Text to image #Image generator #Stable Diffusion #Text2image #Machine learning
Created in 2022, the Stable Diffusion model provides a way to use machine learning to generate photorealistic images given a text input. While there is an online, web-based demo to assess its capabilities, the diffusion model can also be tested using third-party applications such as the NMKD Stable Diffusion GUI.
This application is, in fact, a frontend for the Stable Diffusion toolkit, allowing the creation of incredible imagery in a matter of seconds. With its help, anyone can create stunning images and enjoy the power of the latest technological progress.
Before proceeding, please keep in mind that the NMKD Stable Diffusion GUI is designed to work with Nvidia GPUs only, harnessing the power of the graphics card to generate high-quality imagery based on the text input.
Type in the text prompt you want the engine to use and enter the negative text prompt as well. This gives instructions to the NMKD Stable Diffusion GUI on what to generate and what attributes to ignore. Additional input data is possible, as NMKD Stable Diffusion GUI enables you to provide additional input data (such as initialization images or trained concepts.
You can alter a few other parameters, such as the number of generation steps, the prompt guidance scale, the resolution, and a few more. The application then uses its algorithms and the power of AI to generate high-quality images based on your Input.
Providing support for text to image and image-to-image conversion, the NMKD Stable Diffusion GUI comes in two flavors: one without models included and the other with models, including the SD 1.5 model. Just use it to assess the capabilities of the Stable Diffusion model and generate high-quality images using the power of machine learning.
NMKD Stable Diffusion GUI 1.12.0
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Windows 11
Windows 10 64 bit - file size:
- 3 GB
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- Multimedia
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