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support qwen-image-fp8
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@@ -172,7 +172,11 @@ FP8 量化能够大幅度减少显存占用,但不会加速,部分模型在
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<summary>推理加速</summary>
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Qwen-Image 的推理加速技术正在开发中,敬请期待!
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* FP8 量化:根据您的硬件与需求,请选择合适的量化方式
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* GPU 不支持 FP8 计算(例如 A100、4090 等):FP8 量化仅能降低显存占用,无法加速,代码:[./model_inference_lor_vram/Qwen-Image.py](./model_inference_lor_vram/Qwen-Image.py)
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* GPU 支持 FP8 运算(例如 H200 等):请安装 [Flash Attention 3](https://github.com/Dao-AILab/flash-attention),否则 FP8 加速仅对 Linear 层生效
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* 更快的速度,但更大的显存:请使用 [./accelerate/Qwen-Image-FP8.py](./accelerate/Qwen-Image-FP8.py)
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* 稍慢的速度,但更小的显存:请使用 [./accelerate/Qwen-Image-FP8-offload.py](./accelerate/Qwen-Image-FP8-offload.py)
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</details>
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