Tool Information
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.
F.A.Q (20)
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.
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.
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.
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.
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.
Yes, NMKD Stable Diffusion is capable of running multiple prompts at once. This means it can generate multiple different images at the same time.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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)
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