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Comparison of multilingual-e5-large-instruct, remove_background_guided, Ideogram V4.5 Text to Image
3 modelsintfloatmultilingual-e5-large-instructRemove ×Briaremove_background_guidedRemove ×ideogramIdeogram V4.5 Text to ImageRemove ×
What’s differentThe Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”…Prompt-guided background removal by Bria: tell it what to keep or what to remove and get a clean cutout with true transparency, at the original resolution with the original pixels untouched. Trained…Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers.
DateApr 17, 2025ListedOct 14, 2026ListedSep 30, 2026Released
Listed rateSee provider quotesSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →1 endpoint →
AA Image ↗2.1Not reportedNot reported1,015.68 ↗Text-to-image · all categories · quality=highIndependent result95% CI 1,000.68–1,030.68 · n=2,634
Context window512——
Max output———
Parameters———

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