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Update README.md

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@@ -58,8 +58,21 @@ For better results, please use it in conjunction with the dedicated VAE, **[Z-Im
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  <img src="./images/FP_compare_hand_close_up.png" alt="FP_compare_hand_close_up" width="800" height="400">
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  </div>
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  - **FP32:** Highest precision, high VRAM usage
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- - **BF16:** Most popular in ComfyUI, good for LoRA compatibility
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  - **FP16:** Slightly better precision than BF16, less performance degradation on pre-RTX 2000 or non-NVIDIA GPUs
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  - **FP8:** Lower precision, low VRAM usage, accelerated on RTX 4000 series and later
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  <img src="./images/FP_compare_hand_close_up.png" alt="FP_compare_hand_close_up" width="800" height="400">
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  </div>
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+ ```
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+ +----------+------+----------+----------+--------------------+-----------+
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+ | Format | Sign | Exponent | Mantissa | Significant Digits | Precision |
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+ +----------+------+----------+----------+--------------------+-----------+
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+ | FP32 | 1bit | 8bit | 23bit | 6–7 digits | ✅ |
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+ | BF16 | 1bit | 8bit | 7bit | 3 digits | 👍 |
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+ | FP16 | 1bit | 5bit | 10bit | 3–4 digits | 👍 |
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+ | FP8(e5m2)| 1bit | 5bit | 2bit | 1–2 digits | ⚠️ |
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+ | FP8(e4m3)| 1bit | 4bit | 3bit | 1–2 digits | ⚠️ |
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+ | FP4 | 1bit | 2bit | 1bit | Less than 1 digit | ❌ |
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+ +----------+------+----------+----------+--------------------+-----------+
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+ ```
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+
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  - **FP32:** Highest precision, high VRAM usage
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+ - **BF16:** Most popular in Zet-Image-Turbo models, good for LoRA compatibility
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  - **FP16:** Slightly better precision than BF16, less performance degradation on pre-RTX 2000 or non-NVIDIA GPUs
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  - **FP8:** Lower precision, low VRAM usage, accelerated on RTX 4000 series and later
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