Generative AI Face-Off: Janus-Pro-7B vs. DALL·E 3
Artificial intelligence has dramatically reshaped the world of digital art and design. Generative AI tools enable users to create stunning artwork on devices like tablets and Chromebooks. This comparison explores two powerful generative AI models: Janus-Pro-7B (from DeepSeek) and DALL·E 3 (by ChatGPT). The goal is to determine which model excels at generating realistic images.
DALL·E 3 and Its Approach
DALL·E 3 leverages a diffusion-based decoder, trained on extensive multimodal datasets. This allows it to generate images with impressive detail across many different artistic styles. A key advantage of DALL·E 3 is its integrated connection with ChatGPT’s advanced language processing capabilities and large-scale transformers. This leads to surprisingly accurate interpretations of complex descriptive prompts. Unlike some multimodal architectures, DALL·E 3 is optimized specifically for image generation, not image processing. OpenAI enhances its understanding of images by integrating separate vision models.
Janus-Pro-7B’s Dual-Encoder Design
Janus-Pro-7B is a generative model developed by DeepSeek. It features 7 billion parameters and neural networks trained to produce precise and structured outputs. Its unique architecture separates image understanding from text-to-image generation using a dual-encoder design. Unlike DALL·E 3, Janus-Pro-7B can both process and generate images and text.
- Understanding Encoder: Analyzes images, identifying objects and understanding relationships.
- Generation Encoder: Converts text descriptions into visual elements, generating images.
Comparing Realism in AI-Generated Images
To assess realism, consider the following prompt:
A realistic photo of a potted cactus and a bicycle.
The images generated by each model reveal the differences:
The first image from DALL·E 3 demonstrated controlled lighting and lacked the natural imperfections typical of real photographs. Even when the prompt was refined to request increased realism, DALL·E 3 did not match the DeepSeek output’s quality. Furthermore, DALL·E 3 added elements, such as an extra plant and a vintage camera, that weren’t in the original prompt. This indicates a tendency to take creative liberties rather than adhere strictly to realism. In contrast, Janus-Pro-7B produced a single potted cactus against a blurred background, displaying a natural photographic quality with realistic reflections.
Result: Janus-Pro-7B delivers higher realism through adherence to the prompt.
Spatial Positioning: DALL·E 3 vs. Janus-Pro-7B
The prompt was:
An image of a black dog on the left, a cat in the middle, and a mouse on the right.
DALL·E 3 produced an outdoor scene with a black dog, a cat, and a mouse, positioned relatively as described, considering a natural scene. DeepSeek, however, precisely followed the prompt’s spatial instructions creating a cartoonish, lower resolution layout. The precise adherence to spatial instructions makes DeepSeek the winner in this scenario. However, both were somewhat cartoonish.
Result: DeepSeek strictly follows spatial instructions more accurately.
Handling Complex Prompts
Prompt: A fluffy orange cat with green eyes lounging on a stone pathway in a Japanese garden.
Models processing complex prompts interpreting multiple elements, constraints, and style details to generate images. In benchmark tests, on the DPG-Bench Janus-Pro-7B scored 84.19 and DALL-E 3 scored 83.50, showing similar capabilities. In this specific case, DALL-E 3 incorporated nearly all the elements: cherry blossoms, a stone pathway, and a Japanese garden. Sadly, the cat looked unrealistic. DeepSeek, while adhering more strictly to a realistic cat, missed some background complexity. While DALL-E 3 creates a more complex scene, Janus-Pro-7B’s image feels more true to the prompt.
Result: Janus-Pro-7B creates a more realistic image with lower resolution and sacrifices background complexity for accuracy.
Evaluating Color Accuracy
Prompt: A composition featuring a bright yellow banana, a deep red apple, a rich blue ceramic mug, and a green pear, all placed on a white marble table.
In this test, DeepSeek’s banana had balanced, natural yellow hues as opposed to DALL-E 3’s waxy appearance. The ceramic mug showcased a muted blue, and DeepSeek’s pear appeared more uniform than DALL-E 3’s. These results highlight deep seek’s use of more natural lighting. While DALL-E 3 prioritizes a stylized look that compromises color accuracy.
Result: DeepSeek demonstrates superior color realism.
Final Verdict
Choosing between DALL·E 3 and Janus-Pro-7B depends on the user’s artistic needs. DALL·E 3 provides refined, vibrant outputs for creative flexibility, while Janus-Pro-7B prioritizes realism, accurate spatial positioning, and faithfulness to prompts to create a natural photographic style.
