Image generation GUI for Windows users
DR Pick
NMKD Stable Diffusion GUI – AI Image Generator by N00MKRAD is a tool for Windows users to generate AI images on their own GPU for free. It includes dependencies, so there is no complicated installation.
The tool supports both text-to-image and image-to-image (image+text prompt) generation, as well as instruction-based image editing, prompting features such as attention/emphasis and negative prompt, and can run multiple prompts at once.
It also has built-in features for image viewing, upscaling, face restoration and prompt history. Additionally, it supports loading custom concepts, creating seamless images, and provides a variety of UX features.
The tool is as fast as your GPU, and includes built-in safety measures to scan downloaded models for malware. System requirements can be found on the GitHub Guide.
It is completely uncensored and unfiltered, and no data is shared/collected by the tool or any third party.
ALTERNATIVE LINKS
QUESTIONS & ANSWERS
Q&A
What is NMKD Stable Diffusion GUI?
NMKD Stable Diffusion GUI – AI Image Generator by N00MKRAD is a tool for Windows users to generate AI images on their GPU for free. It includes dependencies, so there is no complicated installation. The tool supports both text-to-image and image-to-image generation, as well as instruction-based image editing, running multiple prompts at once and has built-in features like image viewing, upscaling, face restoration and prompt history.
How does NMKD Stable Diffusion generate images?
NMKD Stable Diffusion generates images either through text-to-image or image-to-image methods. In the text-to-image generation, the tool uses your input text as a prompt to generate a corresponding image. The image-to-image generation utilizes an input image and a text prompt to generate a new image.
What is the application of image-to-image generation in NMKD Stable Diffusion GUI?
In NMKD Stable Diffusion GUI, image-to-image generation is a unique feature that uses an existing image along with a text prompt to generate a new image. This feature can enhance, modify, or completely transform the input image based on the given text prompt.
How does the instruction-based image editing work in NMKD Stable Diffusion?
In NMKD Stable Diffusion, instruction-based image editing works with InstructPix2Pix. It allows you to provide instructions that shape the way the generated image is edited or transformed.
What are the prompting features in NMKD Stable Diffusion?
In NMKD Stable Diffusion, the prompting features include attention/emphasis and negative prompt mechanisms. These mechanisms control how the AI reacts to certain elements of your input, allowing you to direct your output to be more in line with your expectations.
Can NMKD Stable Diffusion run multiple prompts at once?
Yes, NMKD Stable Diffusion is capable of running multiple prompts at once. This means it can generate multiple different images at the same time.
What are the built-in features in NMKD Stable Diffusion GUI?
NMKD Stable Diffusion GUI includes many built-in features like an image viewer which displays information about the generated images, prompt history to keep track of previous prompts, and options to create seamless images or load custom concepts. It also includes utilities for upscaling images and restoring faces.
Does NMKD Stable Diffusion GUI support upscaling and face restoration?
Yes, NMKD Stable Diffusion GUI supports both upscaling and face restoration. For upscaling it uses RealESRGAN, and for face restoration, it employs CodeFormer or GFPGAN.
What is the use of the prompt history in NMKD Stable Diffusion GUI?
The prompt history in NMKD Stable Diffusion GUI keeps a record of all the prompts that have been used. This can be useful for revisiting old projects, tracking the evolution of your work, or repeating a successful generation.
How can I create seamless images with NMKD Stable Diffusion GUI?
To create seamless or tileable images with NMKD Stable Diffusion GUI, there is a functionality provided specifically for this purpose. This feature is especially useful for generating textures for games or other creative applications.
Can I load custom concepts using NMKD Stable Diffusion?
Yes, NMKD Stable Diffusion supports loading custom concepts through Textual Inversion. This feature allows you to define and use your own unique terms or concepts in your prompts.
What are the UX features of NMKD Stable Diffusion GUI?
NMKD Stable Diffusion GUI provides a variety of user experience features. However, the website does not provide specific details about what these UX features are.
How fast can NMKD Stable Diffusion generate images?
The NMKD Stable Diffusion GUI image generation speed depends on the GPU that is being used. For example, on an RTX 4090, it takes approximately 1.7 seconds per image, and on an RTX 3090, it takes about 2.6 seconds.
What are the built-in safety measures in NMKD Stable Diffusion?
The NMKD Stable Diffusion GUI comes with built-in safety measures that scan downloaded models for malware, providing a secure environment for its users to work in.
What are the system requirements for NMKD Stable Diffusion?
The system requirements for NMKD Stable Diffusion GUI can be found in the GitHub Guide. The link for the same is provided on their website but the specific details are not mentioned.
Does NMKD Stable Diffusion share or collect any user data?
No, NMKD Stable Diffusion does not share or collect any user data. It is clearly stated on their website that no data is shared or collected by the tool or any third party.
Is NMKD Stable Diffusion GUI uncensored and unfiltered?
Yes, NMKD Stable Diffusion GUI is completely uncensored and unfiltered. It is explicitly stated by its developer that they are not responsible for any of the content generated with it.
Where to get support for NMKD Stable Diffusion?
For any support or related questions for NMKD Stable Diffusion, users are encouraged to join the Discord channel mentioned on its website. The specific channel to be used for the same is stable-diffusion-gui channel.
How often is NMKD Stable Diffusion GUI updated?
The NMKD Stable Diffusion GUI was updated two days ago as per the information on their website. There are regular updates andt te tool is in active development.
What is the tool’s limits and capacities?
NMKD Stable Diffusion GUI allows you to generate images on your own GPU for free. The capacity and limit depends on the capability of your GPU. It provides multiple utilities like text-to-image, image-to-image, instruction-based image editing, prompt history, upscaling, face restoration and more. There is no specific mention of a maximum limit for image generation on their website.
Pros and Cons
Pros
Free image generation
Windows-compatible
No complex installation
Text-to-image support
Image-to-image support
Instruction-based image editing
Supports custom models
Multiple prompts run simultaneously
Built-in image viewer
Upscaling built-in
Face restoration feature
Prompt history feature
Creates seamless images
Loading custom concepts
Various UX features
Fast operation with GPU
Safety measures for models
Uncensored and unfiltered
No data collected/shared
Supports instruction-based prompts
Emphasis and negative prompt
Prompt queue capability
As fast as GPU
GPU-based image generation
Scan models for malware
Creating game textures
Image emphasis feature
Custom VAE model support
GitHub Guide for requirements
Information on generated images
Active ongoing development
CodeFormer and GFPGAN support
Textual Inversion functionality
Run Stable Diffusion locally
Tool for GPUs
RealESRGAN for upscaling
Built-in viewing information
Tileable images for textures
Discord support for questions
Prompt history and queue
Cons
Only for Windows
Requires GPU
Uncensored and unfiltered
Depends on user’s GPU speed
Light on UX features
Active development (Instability)
Limited safety measures
No Data Collection
Requires safe models
Heavy (1-3 GB)
WHAT WE THINK
After team Digi Refera carefully went through SinkIn and tested all of it’s features, we can confidently attest to a solid platform full of wonders. We therefore advise users to take a look at this platform and come back here to offer us suggestions as to what they also think of the platform.