PrunaAI's sub-1-second multi-image editing model supporting up to 5 reference images with state-of-the-art quality
Settled by community votes across 1 shared challenge, with an AI judge weighing in on each.
P-Image Edit
#24 of 23 in Image Editing
Not enough comparable category data
The chart appears once both models have ratings across at least three shared arena categories.
Seedream 4.5
#10 of 44 in Text-to-Image
Where the votes landed
P-Image Edit
0%
win rate
Ties
0%
Seedream 4.5
0%
win rate
Challenge by challenge
The strongest take from each model on every shared challenge, with the AI judge's read.
Outfit Transfer Challenge
Editing“Use Image 1 as the base person. Dress them in the exact elaborate outfit from Image 2 (including all layers, accessories, jewelry, and shoes). Carefully adapt the clothing to the body shape and pose in Image 1 while maintaining realistic fabric behavior, correct proportions, and perfect lighting/shadow matching. Keep the person’s exact face, hair, and background completely unchanged.”
AI Judge Analysis
P-Image Edit
- + Successfully integrated full outfit including jeans and shoes.
- + Maintained the subject's posture and pose naturally.
- − Significantly altered the facial features and hair of the subject.
- − Added a large gold chain that was not present in Image 2.
Seedream 4.5
- + Preserved the face and hair detail much more accurately than the competitor.
- + High-quality texture on the coat and scarf.
- + Correctly matched lighting and shadows on the face.
- − Failed to add the coat over the torso, leaving the chest exposed.
- − Did not include the full-body edit requested.
Verdict: P-Image Edit followed the instruction to provide a full-body outfit swap more closely, but it failed to preserve the subject's face, making them look like a different person. Seedream 4.5 preserved the subject's identity and background perfectly, but it failed to dress the model correctly, leaving the chest bare and missing the lower half of the attire. Seedream 4.5 is the preferred winner because it maintained image quality and identity, whereas P-Image Edit's change to the face violates the primary constraint of keep the person's face unchanged.
Explore each model
ByteDance's latest image generation model unifying text-to-image and image editing in a single architecture, with improved text rendering and 30-40% faster generation than v4.0