Both DALL-E 4 and Midjourney v7 are powerful image generation tools with distinct strengths. DALL-E 4 excels in user control and feature richness, while Midjourney v7 shines in photorealism, speed, and consistency. The choice between them depends on specific user needs and priorities.
| Attribute | DALL-E 4 | Midjourney v7 |
|---|---|---|
| Image generation speed | Faster image generation times compared to earlier models, delivering results in a fraction of the time. Accelerated by 30 times with a new framework. | Significantly faster than v6, with rendering times reduced by approximately 20-30%. Draft Mode generates images ten times faster and at half the cost. Turbo and Relax modes affect speed and cost. Rendering speed improved by approximately 40%. |
| Text-to-image coherence | Anticipated to understand prompts with near-human accuracy, even for detailed descriptions up to 1,000 words. | Much smarter with text prompts. Better subject recognition, balanced compositions, improved anatomy, and stronger interpretation of details, especially for complex or abstract ideas. Understands more detailed and structured prompts, natural language, and voice commands. |
| Photorealistic output quality | Advanced photorealism capabilities, producing images increasingly difficult to distinguish from real photographs. | Major leap in visual effects, with impressive skin details, lighting depth, and overall photographic realism. Images look more like real photography, especially in natural landscapes, realistic portraits, and modern architecture. Excels at intricate details, realistic textures, and photorealistic portraits. |
| Artistic style versatility | Can generate images in various styles, from photorealistic to surrealist. It can emulate various artistic styles with astonishing accuracy. | Introduces 25 SREF illustration styles, blending traditional techniques with modern digital advancements. Styles are designed for versatility, offering unique aesthetics suitable for storytelling and branding. Demonstrates a remarkable ability to understand and execute complex artistic techniques. |
| Level of user control and customization | Offers new features for adjusting and refining generated images, giving users unprecedented control over the creative process. Users can experiment with different art styles, colors, and concepts. | Users can create profiles that remember their preferences, color palettes, and favored styles. Users can adjust the stylization level using parameters. Default activation of model personalization, where users rate approximately 200 images to unlock full personalization capabilities. |
| Prompt understanding accuracy | Leverages advanced machine learning algorithms to understand the details and context of the input text to create an accurate representation. Anticipated to understand prompts with near-human accuracy, even for detailed descriptions. | Understands prompts better than previous versions, with more accuracy and consistency. Personalization feature improves the AI's ability to interpret user desires and aesthetic preferences. Better at recognizing different styles, artists, looks, and terms about how a picture is set up. |
| Handling of complex prompts | Can understand and execute complex requests, ensuring a new level of artistic freedom and innovation. It can generate images based on abstract ideas, such as emotions or philosophical concepts. | Can better interpret and execute complex instructions, leading to an enhanced response to user prompts. Supports more detailed and structured prompts, guiding the AI more precisely. |
| Consistency across multiple generations | GPT-4o offers improved consistency across multiple related images. Clear, detailed prompts ensure visuals stay consistent in style and tone. | Introduced a new feature called Omni-Consistency. This tool helps you create consistent images, whether you want to keep a character, object, or even a pet looking the same across different generations. Shows better consistency when generating characters. |
| Availability of inpainting/outpainting features | Offers inpainting and outpainting features, allowing users to edit and expand images creatively. Outpainting lets users create large-scale images in any aspect ratio. | Initially, features such as upscaling, editing, and retexturing will revert to using the V6 model, with updates planned for the future. |
| Upscaling capabilities | Comes with an upscaling feature integrated into the UI. Replicate API can be used to enhance image quality up to 4x resolution. AI-based upscaling tools can increase the resolution of an image without losing detail. | Two options to upscale images: Subtle and Creative. Both will double the size of the original image. |
| Pricing and subscription model | Credit-based system, where users spend credits to generate images. Subscription plans are tailored for users who require a steady flow of credits for ongoing projects. DALL-E 3 (Standard) costs $0.04 per image (1024x1024) and $0.08 (1024x1792). DALL-E 3 (HD) costs $0.08 per image (1024x1024) and $0.12 (1024x1792). | Available in two speed modes: Turbo and Relax. Turbo jobs will cost twice as much as a standard job, while draft jobs will cost half the amount. |
| Community support and resources | DALL-E GPTs are versatile tools that can benefit a wide range of users. There's an entire thread on the OpenAI Community Forum dedicated to exploring text rendering issues. | Midjourney community on Discord is a great place to find recommendations. |