NMKD Stable Diffusion GUI vs Midjourney

NMKD Stable Diffusion GUI runs text-to-image and image-to-image generation locally on your Windows PC using your own GPU. The itch.io download bundles dependencies so you skip manual Python setup, and version 1.11.0 ships with a Stable Diffusion 1.5 model in a 3.3 GB package or a 1.5 GB build if you bring your own checkpoints.

Unlike browser-based generators that queue jobs on remote servers, NMKD keeps everything on your hardware with no data collection. It adds LoRA training on 8 GB GPUs, InstructPix2Pix editing, RealESRGAN upscaling, and CodeFormer or GFPGAN face restoration in one desktop app. The author reports sub-2-second generations on an RTX 3090 and under one second on an RTX 4090.

Windows hobbyists, game texture artists, and creators who want uncensored local control are the main audience. Built-in prompt queues, tileable output for game assets, custom VAE and checkpoint loading, and a malware scan on downloaded models make it a full workstation tool rather than a quick online demo.

Midjourney is an image and video generation model you use through the midjourney.com web app, with community galleries on Explore and support routed through Discord. Version 8.2 is the current release, and the careers site describes ongoing work on both creative models and separate research projects.

Compared with general-purpose image APIs, Midjourney sells aesthetic control and community curation rather than raw throughput alone. Paid tiers add Relax mode for unlimited slower generations, Stealth mode to keep work private on Pro and Mega, and tiered Fast GPU hour pools that refresh monthly.

The company calls itself a community-funded research lab of about 60 people, with offices in San Francisco, London, and New York. It targets artists, designers, marketers, and hobbyists who want stylized images and short videos without running their own GPU stack.