ByteDance's image generation model with integrated text-to-image and image editing capabilities in a unified architecture, supporting up to 4K resolution
Settled by community votes across 1 shared challenge, with an AI judge weighing in on each.
Seedream 4.0
#16 of 44 in Text-to-Image
Not enough comparable category data
The chart appears once both models have ratings across at least three shared arena categories.
Stable Diffusion 3.5 Medium
#41 of 44 in Text-to-Image
Where the votes landed
Seedream 4.0
0%
win rate
Ties
0%
Stable Diffusion 3.5 Medium
0%
win rate
Challenge by challenge
The strongest take from each model on every shared challenge, with the AI judge's read.
The Halloween Invitation
Text-to-Image“Vintage gothic Halloween party invitation. Dark parchment poster, spooky border with webs and thorns, central glowing jack-o-lantern, bats, twisted trees, moody night sky. Add elegant gothic title text saying "Halloween Party Invitation", a small scroll banner saying "You are invited to a night of frights", and event details at the bottom: Date: 30.10.2026 Time: 7pm Location: The Arches, NYC Spooky but polished, cinematic lighting, square format.”
AI Judge Analysis
Seedream 4.0
- + Excellent text rendering with no spelling errors
- + Highly cinematic lighting and atmospheric composition
- + Perfect adherence to all prompt elements including the specific date and location
Stable Diffusion 3.5 Medium
- + Clean illustrative style
- + Good use of the gothic frame and parchment texture
- − Numerous spelling errors in the main title and body text
- − Incorrect date and time formatting
- − Central Jack-o-lantern is missing in favor of two corner pumpkins
Verdict: Seedream 4.0 followed the prompt with near-perfect accuracy, delivering high-quality text and a beautifully moody, cinematic atmosphere. In contrast, Stable Diffusion 3.5 Medium failed significantly on the text rendering, with multiple spelling mistakes ('Halloweeen Inviloween') and missing/incorrect data.
Explore each model
Stability AI's 2.5-billion parameter Multimodal Diffusion Transformer with improvements (MMDiT-X) text-to-image model optimized for consumer hardware, featuring improved image quality, typography, and complex prompt understanding