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NMKD

Image generator with custom models, editing commands, upscale options.
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What is NMKD?

The website provides a downloadable tool called “NMKD Stable Diffusion GUI” which allows users to run Stable Diffusion, a machine learning toolkit for generating images from text, locally on their hardware. This tool supports both text-to-image and image-to-image generation, as well as instruction-based image editing using InstructPix2Pix. It includes features such as attention/emphasis and negative prompting, support for custom Stable Diffusion and VAE models, and the ability to run multiple prompts simultaneously. Additionally, it offers built-in image viewing, upscaling, face restoration, and options for creating seamless images.

 


 

⚡Top 5 NMKD Stable Diffusion GUI Features:

  1. Dependencies Included, No Complicated Installation: The NMKD Stable Diffusion GUI includes all necessary dependencies, making installation easy without requiring complex setup processes.
  2. Text-to-Image and Image-to-Image: This GUI allows users to generate images based on either text descriptions or combinations of text and existing images.
  3. Instruction-Based Image Editing: Users can edit images by providing instructions, which are then used to modify the image in various ways.
  4. Attention/Emphasis and Negative Prompt: The GUI provides options for users to emphasize or de-emphasize certain aspects of their prompts through attention/emphasis settings and negative prompts.
  5. Custom Stable Diffusion Models and VAE Models: Users can use custom models tailored to their specific needs, allowing for more personalized results.

 


 

⚡Top 5 NMKD Stable Diffusion GUI Use Cases:

  1. Creating Seamless Images for Game Textures: The GUI supports generating seamless images that can be used as game textures, ensuring a consistent appearance across different parts of the game environment.
  2. Loading Custom Concepts with Textual Inversion: Users can load custom concepts using Textual Inversion, enabling them to incorporate their own ideas into the generated images.
  3. Supporting LoRA Concepts, Characters, and Style: The GUI allows users to work with LoRA concepts, characters, and style, expanding the range of possibilities for creating unique images.
  4. Running Multiple Prompts at Once: Users can run multiple prompts simultaneously, allowing them to generate multiple images concurrently and efficiently.
  5. Built-In Safety Measures Scanning Downloaded Models for Malware: The GUI includes built-in safety measures that scan downloaded models for malware, ensuring the security of users’ systems during the image generation process.
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