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README.md
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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**.
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