Why Is Dall-E So Bad? + How To Improve It [2024]

Why Is Dall-E So Bad? + How To Improve It [2024]
"This DESTROYED My ChatGPT Workflow!"
- Ezekiel Whitlock, Forbes Editor
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Why are DALL-E images so bad?

DALL-E has impressive capabilities in generating images, but it struggles with text accuracy. When you try to include text in an image, DALL-E often produces spelling errors and misplacements. This happens because the model is primarily designed to create visual content, not to handle text with precision.

Why Text Accuracy Is Challenging

DALL-E focuses on visual elements, which means text might not always be accurate, especially with complex or lengthy words. This issue is rooted in how the model learns from its datasets. DALL-E uses a text encoder to process and integrate text into images, but it sometimes tokenizes entire words instead of individual letters, leading to errors.

Improving Text in DALL-E

To get better results, keep your text simple. Short phrases are more likely to be accurate. If you need detailed text, consider adding it after generating the image using tools like Canva. This approach helps maintain the visual quality while ensuring text accuracy.

User Experiences and Insights

Many users report mixed results. Some have seen correct text in their images, especially with shorter prompts. However, longer and more complex text often results in errors. Users suggest focusing on the visual aspects and adding text manually when needed.

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How To Improve The Accuracy, Relevance & Quality Of Dall-E Images

To improve the quality of images generated by DALL-E, here are some practical tips that can help:

Use Detailed and Specific Prompts

The quality of your image can be significantly enhanced by using detailed and specific prompts. For instance, instead of a vague prompt like "a cat," you might say, "a photorealistic black cat with green eyes sitting on a red velvet couch in a Victorian-style room." The more details you provide, the better DALL-E can understand and generate the image you want​.

Upscale Images

DALL-E images are generated at a resolution of 1024x1024 pixels. If you need higher resolution images, consider using AI-powered upscaling tools. Some effective options include:

  • Bigjpg: A free tool that uses deep learning to upscale images while preserving details.
  • Topaz Gigapixel AI: A more advanced paid tool that offers high-quality upscaling.
  • Upscaler: Another reliable online tool for increasing image resolution​​.


Post-processing can enhance your images further. Using image editing software like Photoshop allows you to adjust colors, sharpen details, and correct any imperfections. This step can make a significant difference in the final quality of your images.

Experiment with Different Prompts

Varying your prompts can lead to different styles and qualities of images. Try using modifiers like "highly detailed," "4K resolution," or "ultra-realistic" in your prompts. Experimenting with different descriptions can help you find the best results for your needs​​.

Leverage Outpainting

DALL-E’s outpainting feature allows you to extend the canvas of your image, adding more context and details beyond the original borders. This is useful for creating larger scenes. By carefully describing the additional elements you want, you can create more cohesive and detailed visuals​​.

Practical Example

Let's say you want to upscale an image using Topaz Gigapixel AI:

  1. Select the Image: Open the image you generated with DALL-E.
  2. Choose Upscaling Settings: Set the desired upscaling factor (e.g., 4x) and adjust noise reduction as needed.
  3. Process the Image: Let the tool upscale the image. This can take from 30 seconds to a few minutes, depending on the settings.
  4. Review and Adjust: Check the upscaled image for any artifacts and make further edits if necessary​​.


To improve DALL-E image quality, use detailed prompts and consider upscaling images with AI tools like Topaz Gigapixel AI for better resolution. While these methods enhance image clarity, the need for external tools like Topaz Gigapixel AI for upscaling can be inconvenient, but DALL-E's ability to generate highly specific and detailed images is impressive.

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