MidJourney vs. Stable Diffusion vs. Bing Image Creator

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Artificial intelligence is transforming how we create and consume visual media. In recent years, AI image generators have emerged that can rapidly synthesize captivating new images from text prompts. Three of the most buzzworthy platforms in this space are MidJourney, Stable Diffusion, and Bing Image Creator. In this in-depth comparison, we‘ll analyze the strengths and weaknesses of each tool to help you determine which is best suited for your creative needs.

Overview of the AI Image Generators

Before diving into the details, let‘s briefly introduce the contenders in this showdown:


Founded in 2021, MidJourney quickly rose to prominence with its exceptional image generation capabilities. The company employs what‘s known as a diffusion model trained on millions of images scraped from across the web. MidJourney is oriented toward assisting digital artists and designers through its robust free tier and active community on Discord.

Stable Diffusion

Developed by researchers at Stability AI, Stable Diffusion is an open-source text-to-image diffusion model. Released in August 2022, it produces remarkably high-quality results thanks to its massive training dataset. Stable Diffusion is aimed more at developers, but beginners can access it through user-friendly apps.

Bing Image Creator

The newest contender, Bing Image Creator is Microsoft‘s foray into AI image generation. Launching earlier this month, it‘s integrated directly into the Bing search engine and Edge browser. Bing taps into Dall-E 2 and other proprietary AI systems developed by Microsoft. It‘s easy to use but has stricter content policies than MidJourney and Stable Diffusion.

Now let‘s analyze how these platforms stack up across some key criteria:

Image Quality

Arguably the most important consideration is the visual quality of the generated imagery. All three tools are powered by state-of-the-art diffusion models capable of producing photorealistic results. However, there are some noticeable differences.

MidJourney yields images with vivid colors and striking abstract textures. It does an excellent job with fantastical scenes and otherworldly characters. The art style has a painterly, artistic sensibility.

Stable Diffusion delivers images with incredible detail and precision. Subtle elements like hair, reflections, and background objects come through with lifelike clarity. The tool excels at photorealism for common real-world subjects and environments.

Bing also generates highly realistic images, though they tend to have a smoother, more pristine appearance compared to Stable Diffusion. Overall, Bing strikes a balance between MidJourney‘s stylization and Stable Diffusion‘s precision. Its results aren‘t the most visually impressive but do cleanly match the text prompts.

Prompt Engineering

The generators rely heavily on the text prompts supplied by the user. Mastering the art of prompt engineering can help coax better results from the AI.

MidJourney is quite forgiving, able to extrapolate successfully even from sparse prompts. It draws stylistic and creative inferences rather than simply taking prompts literally. For instance, "a turtle reading a book" produces an anthropomorphic, bipedal turtle wearing glasses and holding a novel.

Stable Diffusion requires more explicit prompts to render appropriate images. Using the same "turtle reading a book" example yields a regular turtle placed next to an open book, without humanoid qualities. Adding descriptive details is key for Stable Diffusion.

Bing prompts must also be detailed but the tool provides helpful suggestions during typing. Adding "anthropomorphic" to the turtle prompt gives results resembling MidJourney‘s creative interpretation. Overall, Bing strikes a good middle ground for usability.

Output Control

Guiding the image generation process is important for achieving the desired visuals. The level of output control and customization varies.

MidJourney offers "upscaling" to iterate on images by adding or altering elements based on additional prompts. This progressive refinement method enables tweaking the composition, style, and details. However, there is limited control during the initial generation phase.

Stable Diffusion gives greater control upfront using "inpainting mode" which starts with a blank canvas or existing image. Step-by-step, users add text prompts to build up the desired scene or subject. Advanced users can fine-tune the AI model itself for tailored results.

Bing provides the least amount of output control since generations are single-shot. Users cannot modify the images after the fact except by re-generating them. Bing‘s approach is quick and automatic but lacks editing flexibility.

Variety and Originality

A key appeal of AI image generation is the ability to produce lots of new artwork with unique perspectives. Let‘s compare how much variety we can expect.

MidJourney outputs tend to be distinct with plenty of whimsical details that differ across generations. Even retrying the same prompt leads to new compositions and ideas. The results are rarely generic thanks to the infusion of artistic flair.

Stable Diffusion is prone to repetitive imagery that feels more templatized and less original. Running the same prompt will often yield nearly identical results. This occurs because the tool‘s training focused more on realism and accuracy over novelty.

Bing also suffers a bit in the originality department. While skillfully executed, its images have a commercial stock photo aesthetic. The results for uncommon prompts appear more cookie-cutter compared to MidJourney‘s charming artistry.

Constraints and Limitations

There are certain constraints and limitations to be aware of with each platform. Understanding the boundaries of the technology is important.

MidJourney‘s main drawback is its small maximum image resolution of 1024×1024 pixels. This prevents using the output directly for print projects or merchandise. MidJourney also lacks the ability to create coherent text, though it tries valiantly when prompted.

Stable Diffusion has far fewer constraints, but does best with subjects contained within the frame rather than wide environmental shots. It also falters occasionally on prompts that are too open-ended or unstructured. Stable Diffusion will refuse nonsensical or impossible prompts.

Bing has the strictest content policies, prohibiting offensive, illegal, or harmful subject matter. It avoids anything controversial or political. Bing also refuses prompts that are overly wordy or dense with details. Compared to the other two, Bing plays things safest with image generation.


For professional use cases, generation speed can be a major factor influencing productivity. Here‘s how fast you can expect to get results.

MidJourney is quite sluggish, with each prompt taking 1-2 minutes to process and return an image. It relies on cloud computing resources which can get congested during high usage periods, further slowing output. Long prompts also dramatically increase the processing time.

Stable Diffusion runs locally which provides much quicker generations, usually 10-20 seconds per prompt. Simple edits in inpainting mode happen near instantaneously. Speed varies based on your hardware, but runs efficiently on modern PCs with dedicated GPUs.

Bing strikes a good balance with typical generation times around 5 seconds per prompt. It taps into Microsoft‘s substantial cloud infrastructure to deliver solid performance. Certainly fast enough for casual use, though professional artists may desire even quicker turnaround.


Ease of access for different experience levels is worth examining. Each platform has its own entry barriers.

MidJourney, built for hobbyists and creatives, has the most accommodating onboarding. The Discord community provides guidance for new users. Basic image generation is free, though paid tiers unlock more features. The only technical requirement is installing the Discord app.

Stable Diffusion requires downloading and installing open source Python scripts, so has a higher learning curve. Some coding ability is beneficial. Most users access Stable Diffusion through simplified apps like Automatic1111 which remove the need to run Python scripts directly.

Bing has the lowest barrier to entry. It‘s built right into Microsoft Edge and Bing search, so no installation is necessary. Simply clicking "Bing Image Creator" activates the visual prompt box. The streamlined interface is intuitive even for casual users.

Cost Considerations

Depending on your usage plans, the cost merits consideration. Here‘s an overview of pricing for each platform.

MidJourney has a very generous free tier covering 25 generations per day, ample for personal use. Paid subscriptions start at $10 for 100 monthly generations, up to $600 per month for unlimited commercial use. Memberships enable upscaling, longer prompts, and metadata access.

Stable Diffusion is completely free and open source. However, you need a modern PC and probably an NVIDIA RTX 3090 GPU to achieve the highest quality results, an investment of nearly $2,000. Using Stable Diffusion apps online incurs additional fees.

Bing Image Creator is free with no usage limits thanks to Microsoft subsidization. As it‘s cloud-based, you don‘t need an expensive workstation. The trade-off is having less control compared to local Stable Diffusion use. But for cost-effective casual creation, Bing cannot be beat.

Community and Support

Given these are newer technologies, having an engaged user community and official support resources is hugely beneficial.

The MidJourney Discord server hosts lively discussions among thousands of members. It‘s the ideal place to showcase creations, give feedback, and request assistance mastering the platform. The company also provides documentation and video tutorials for guidance.

Stable Diffusion lacks a centralized community hub, with users dispersed across GitHub, Reddit, Discord, and forums specific to apps like Automatic1111. Support leans on crowdsourced documentation. Being open source, direct assistance from Stability AI is limited.

Bing has Microsoft user forums providing peer support and basic documentation. However, specific details on the image creator are sparse since the tool is so new and proprietary. But Microsoft‘s accessibility efforts should improve information availability over time.

Ethical Considerations

Recent controversies around AI art ethics make this an important discussion point. So how ethically sound are each platform‘s practices?

MidJourney has endured criticism around its training data sourced from living artists without consent or compensation. However, the company is making strides with an upcoming subscription tier that shares revenues with artists whose works fueled the AI models.

Stable Diffusion is trained on publicly available data, but much is scraped from online platforms without direct permissions. And being open source, there are limited restrictions on harmful use cases. Responsible practices rely entirely on individual developers and users.

Bing incorporates practices to reduce biases, toxicity, and harmful stereotypes in its image generations. Microsoft also developed techniques to identify and avoid copyright issues, unlicensed content, and other problems per its content policy. Of the three, Bing takes the most ethical precautions.

Summarizing the Key Differences

To recap the key differences covered in this comparison:

  • MidJourney produces the most artistic and whimsical images with an abstract painterly style. It‘s great for creative hobbyists but limited by low resolution outputs and slow generation speeds.

  • Stable Diffusion is king when it comes to photorealistic detail at high resolution. But it requires technical skill to use and lacks originality and community support.

  • Bing strikes a balance between realism and stylization with commercial quality results. As a free cloud tool it‘s super accessible, but provides limited editing capabilities.

Ultimately, there is no single "best" platform. Each has unique strengths catering to different users and use cases.

Tips for Choosing the Right AI Image Generator

Based on the key differences highlighted, here are some recommendations on selecting the right tool:

  • MidJourney is ideal for digital artists, illustrators, and casual hobbyists who value vibrant, expressive results over speed and resolution. Its funky art style leads to delightful surprises.

  • Stable Diffusion suits creative professionals desiring the highest degree of photorealism, and who possess the technical skills to run the software locally on high-end hardware.

  • Bing Image Creator is the choice for general users who want quick and easy AI image generation thanks to the intuitive interface and built-in browser integration. Just don‘t expect much artistic flair.

  • For producing lots of unique conceptual imagery, MidJourney has the edge. When pixel-perfect detail is required, turn to Stable Diffusion instead. And Bing hits the sweet spot between creativity and convenience.

  • On a tight budget, Bing is the wallet-friendly option requiring no special tools or hardware. MidJourney offers decent value with a free tier, but Stable Diffusion demands expensive computing resources for best results.

  • If ease of use is critical, Bing again wins out with its browser-based setup. MidJourney requires running Discord, while Stable Diffusion relies on coding proficiency for local deployments.

The generators continue advancing rapidly, so revisit this comparison as the landscape evolves. But evaluating your own creative objectives and technical capabilities against the current state of affairs will point clearly at the best fit. With AI image generation going mainstream, we‘re truly in an exciting new era of creative possibility!

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