grok imagine image 2.0 vs gpt image 2 vs meta muse image vs nano banana 2 – on image editing

@spacexai just shipped imagine image 2.0, with a big focus on precise editing, instruction following and preserving what’s already in the frame

so we put it through a simple 3-step image-editing test:

1. place the exact tesla model y into a photorealistic nevada highway scene without redrawing the car

2. turn that image into a full-bleed tesla magazine ad with dense, readable typography

3. photograph the finished magazine as a real physical object on a coffee table in a mediterranean apartment

same prompts, same source, four models

generation time per image:

• highway scene – grok 12s / gpt 55s / muse 164s / nano banana 20s

• magazine ad – grok 30s / gpt 63s / muse 56s / nano banana 31s

• lifestyle shot – grok 11s / gpt 51s / muse 56s / nano banana 24s

observations:

• grok is the standout on speed. 11s for the hardest edit in the set is wild, and the quality doesn’t collapse with the latency

• grok actually preserves the source vehicle when moving it into a new environment – body shape, wheels, proportions and overall identity stay intact

• @aiatmeta muse is the most photorealistic of the four. its lighting, reflections and physical materials look especially convincing, but 164s for the first edit is a serious tradeoff for production workflows

• nano banana 2 is fast and generally strong, but it’s the only model in the set that introduced a text mistake. interestingly, the newer grok handled the dense magazine copy cleanly

overall: this is a surprisingly strong result for imagine image 2.0. grok is not just fast – it’s fast while actually respecting the source image, which is the part that matters for real creative workflows

new favorites in image editing. grok for speed + instruction following, muse for raw realism

watch the full test via link