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Ideogram4 vs. Krea2: Image Quality vs. Speed in Text-to-Image Models

By PulseAugur Editorial · [2 sources] ·

Two Reddit users have shared their experiences testing two text-to-image models, Ideogram4 and Krea2, using int8 quantized versions. Ideogram4, while producing higher image quality, requires significantly more time to render, taking around 52-58 seconds per image at 1-megapixel resolution. In contrast, Krea2 is considerably faster, generating images in 8-9 seconds at the same resolution, though with a noticeable difference in fidelity compared to Ideogram4. AI

IMPACT Provides a practical comparison for users choosing between image generation models based on quality and speed trade-offs.

RANK_REASON User comparison of two image generation models.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Ideogram4 vs. Krea2: Image Quality vs. Speed in Text-to-Image Models

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Signal score
0 / 100
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Newsworthiness bucket
Tool
User comparison of two image generation models.
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2 independent sources
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product, other
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High
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Story freshness
60 days old
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Full methodology in our editorial standards.

COVERAGE [2]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Ant_6431 ·

    Little more t2i tests (ideogram4 int8 convrot & krea2 int8 convrot)

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1uskjka/little_more_t2i_tests_ideogram4_int8_convrot/"> <img alt="Little more t2i tests (ideogram4 int8 convrot &amp; krea2 int8 convrot)" src="https://preview.redd.it/wrlxj97wwdch1.jpg?width=140&amp;heig…

  2. r/StableDiffusion TIER_2 English(EN) · /u/Ant_6431 ·

    Few test images (ideogram4 int8 convrot & krea2 int8 convrot)

    <!-- SC_OFF --><div class="md"><p>Models used:</p> <p>Ideogram4</p> <p>ideogram4_int8_convrot.safetensors<br /> ideogram4_unconditional_int8_convrot.safetensors<br /> qwen3vl_8b_int8.safetensors<br /> flux2-vae.safetensors</p> <p>Krea2</p> <p>krea2_turbo_int8_convrot.safetensors<…

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