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Comparison of multilingual-e5-large-instruct, Bria Guided Remove Background, Krea 3 Edit
3 modelsintfloatmultilingual-e5-large-instructRemove ×briaBria Guided Remove BackgroundRemove ×kreaKrea 3 EditRemove ×
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:”…Name the objects to keep or remove; returns the original pixels with an alpha channel, without repainting the subject.Edits and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed.
DateApr 17, 2025ListedOct 10, 2026ListedOct 14, 2026Listed
Listed rateSee provider quotes$0.03/ imagefal · all routes ↗$0.025/ megapixelfal · all routes ↗Output + reference images
Provider endpoints0 endpoints →1 endpoint →1 endpoint →
Context window512——
Max output———
Parameters———

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