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AI Image Generators Compared: Midjourney vs OpenAI Image Generation vs Stable Diffusion

How Midjourney, OpenAI's image generation in ChatGPT and the API, and open-weight Stable Diffusion differ in workflow, control, licensing and cost model, based on official documentation, with a guide to choosing.

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AI image generation tools comparison
FIG. 01 // AI image generation tools comparison

Bottom line: Midjourney is the easiest route to polished, stylised images through a subscription. OpenAI’s image generation is the most convenient if you already work in ChatGPT or need conversational edits and legible text in images. Stable Diffusion is the choice when you need local control, custom fine-tuning or predictable costs at volume, at the price of setup effort. Image quality is subjective and changes with every model release, so try your own prompts before committing.

This comparison is based on each provider’s documentation and licence pages, linked below. It does not include first-hand quality scores.

Midjourney

Midjourney is a subscription service usable through its web app and Discord. Its strengths are a strong default aesthetic, fast iteration on variations, and reference features that help keep a character or style consistent across images. You cannot train your own model on it. Plans differ by GPU time and features, and Midjourney’s terms require larger companies to use higher-tier plans for commercial use; check the Midjourney documentation for current plans and terms.

Best for: concept art, mood boards, editorial and marketing visuals where look matters more than precise control.

OpenAI image generation (ChatGPT and API)

OpenAI offers image generation inside ChatGPT and through its API with GPT Image models. You can describe an image, upload references, and refine it conversationally (“make the background darker”), and the models are generally good at rendering text inside images. API usage is billed per image or token depending on model and quality; see the image generation guide. Usage policies apply to both ChatGPT and the API.

Best for: marketing and social graphics, quick edits, images with text, and teams already working in ChatGPT or building on the OpenAI API.

Stable Diffusion (open weights)

Stability AI publishes open model weights such as Stable Diffusion 3.5, available on Hugging Face. You can run them locally with tools like ComfyUI, fine-tune them, and combine them with LoRAs and control models for precise poses, layouts and styles. The Stability AI Community License allows free use for individuals and organisations below a revenue threshold; larger organisations need an enterprise licence.

Best for: high-volume production, custom styles, privacy-sensitive work that must stay on your own hardware, and developers who want full control.

The catch: you need a capable GPU (or a hosted service), and setup, model selection and workflow building take time to learn.

Side-by-side

MidjourneyOpenAI image generationStable Diffusion
AccessWeb app, DiscordChatGPT, APILocal or hosted, open weights
ControlPrompts, references, style optionsConversational edits, referencesFull: fine-tuning, LoRA, control models
Custom trainingNoNoYes
Cost modelMonthly subscriptionChatGPT plan or per-use APIFree weights under licence; hardware or hosting costs
Learning curveLowLowestHigh

Licensing and rights compared

Rights terms often decide the choice for businesses more than image quality does:

  • Midjourney: paid plans allow commercial use, but companies with over $1 million in annual gross revenue must use the Pro or Mega plan. Images are public on the website unless you use Stealth mode, which is limited to those two plans (Midjourney plans).
  • Stable Diffusion: Stability AI’s Community License lets individuals and organisations with under $1 million in annual revenue use its core models for research, non-commercial and commercial purposes without a fee, including fine-tuned derivatives. Above that threshold an enterprise licence is required (Stability AI license). Running the model yourself also means the images never leave your hardware.
  • OpenAI: use is governed by OpenAI’s usage policies, and OpenAI says it does not train on API customer data by default. Generated images include C2PA provenance metadata, which some platforms read to label AI content (OpenAI).

Hidden costs to budget for

  • Midjourney: the Basic plan’s Fast hours run out quickly for heavy users; Standard adds unlimited Relax mode, which is slower.
  • OpenAI API: billed per image, with cost rising with size and quality settings. Organisation verification may be needed before access.
  • Stable Diffusion: the model is free under the threshold, but a capable GPU, storage and someone to maintain the setup are real costs. Hosted services remove the hardware cost but add a per-image price.

Editing and control

OpenAI’s Image API supports editing with a mask, where transparent pixels mark the area to change, and the Responses API allows step-by-step edits in a conversation (OpenAI guide). Stable Diffusion offers the most control through community tools such as inpainting and control models, at the cost of setup time. Midjourney focuses on variation, remix and zoom tools within its own interface.

How to choose

  1. Write five prompts that reflect your real work (a product shot, an illustration, an image with text, a consistent character).
  2. Run them in each tool’s cheapest tier and note how many attempts each needs to get a usable result.
  3. Check licensing for your use, especially for commercial work and company size.
  4. Estimate monthly volume. At low volume a subscription is simplest; at high volume self-hosted or API pricing may be cheaper.

Many teams combine tools: one for hero visuals, another for edits with text, and an open model for batch work.

FAQ

Can I use AI-generated images commercially? It depends on each tool’s terms and your plan. Midjourney ties some commercial use to plan tier and company size, OpenAI applies its usage terms, and Stable Diffusion follows Stability AI’s licence. Check before publishing.

Which tool is best for text inside images? OpenAI’s image models are generally the most reliable at rendering text, but for important copy it is still safer to add text in a design tool afterwards.

What hardware do I need for Stable Diffusion? It depends on the model and resolution; a discrete GPU with enough video memory is the usual requirement. Hosted services are an alternative if you do not have one.

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