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@@ -39,8 +39,8 @@ extra_gated_eu_disallowed: true
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  ## **Performance on RTX 5090**
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  > When using **HunyuanImage-2.1** with the **quantized encoder** + **quantized base model**,
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- > the VRAM usage on an **NVIDIA RTX 5090** typically ranges between **26 GB and 30 GB**,
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- > depending on resolution, batch size, and prompt complexity.
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  ⚠ **Important Note:**
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  The **refiner** and **distilled model** are **not yet implemented** and are **not ready for use in ComfyUI**.
 
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  ## **Performance on RTX 5090**
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  > When using **HunyuanImage-2.1** with the **quantized encoder** + **quantized base model**,
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+ > the VRAM usage on an **NVIDIA RTX 5090** typically ranges between **26 GB and 30 GB** with average
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+ > 16 second inference time depending on resolution, batch size, and prompt complexity.
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  ⚠ **Important Note:**
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  The **refiner** and **distilled model** are **not yet implemented** and are **not ready for use in ComfyUI**.