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+# PPDiffusers推理部署
+
+PPDiffusers基于Paddle Inference，提供了以下重点扩散模型的部署方案:
+- ControlNet
+- IP-Adapter-SD15
+- IP-Adapter-SDXL
+- SD15
+- SDXL
+
+
+# V100性能数据
+|模型|Paddle Deploy TensorRT / ips|Torch Dynamic / ips|
+|-|-|-|
+|IP-Adapter-SD15 text2img|18.30|18.18|
+|IP-Adapter-SD15 img2img|18.11|17.87|
+|IP-Adapter-SD15 inpaint|17.93|17.44|
+|IP-Adapter-SDXL text2img|12.01|11.47|
+|IP-Adapter-SDXL img2img|12.00|10.95|
+|IP-Adapter-SDXL inpaint|11.67|10.79|
+|SD15 text2img|19.68|18.27|
+|SD15 img2img|19.68|17.90|
+|SD15 inpaint|19.44|17.56|
+|SDXL text2img|13.91|11.50|
+|SDXL img2img|13.86|11.60|
+|SDXL inpaint|13.45|11.28|
+
+<!-- |SD15 text2img|11.87|6.68|6.32|
+|SD15 img2img|14.47|8.09|7.63|
+|SD15 inpaint|14.30|6.42|6.06| -->
+
+> Note: 
+> 测试环境或配置为Paddle 3.0 beta版本，V100 32G单卡，FP16。
+推理参数为Image Width = 512， Image Height = 512， Num Inference Steps = 50。
+
+# A100性能数据
+|模型|Paddle Deploy TensorRT / ips|Torch Dynamic / ips|
+|-|-|-|
+|IP-Adapter-SD15 text2img|38.52||
+|IP-Adapter-SD15 img2img|37.91||
+|IP-Adapter-SD15 inpaint|37.80||
+|IP-Adapter-SDXL text2img|22.88||
+|IP-Adapter-SDXL img2img|22.79||
+|IP-Adapter-SDXL inpaint|22.30||
+|SD15 text2img|47.22||
+|SD15 img2img|46.59||
+|SD15 inpaint|46.05||
+|SDXL text2img|31.98|12.91|
+|SDXL img2img|31.80|9.43|
+|SDXL inpaint|30.58|11.29|
+
+<!-- |SD15 text2img|26.37|10.49||
+|SD15 img2img|30.81|12.70||
+|SD15 inpaint|30.55|9.67|| -->
+
+> Note: 测试环境或配置为Paddle 3.0 beta版本，A100 80G单卡，FP16。
+推理参数为Image Width = 512， Image Height = 512， Num Inference Steps = 50。
+
+<!-- |SDXL text2img||||
+|SDXL img2img||||
+|SDXL inpaint|||| -->
+
+<!-- |-|-|-|-|
+|ControlNet text2img|3.360597|||
+|ControlNet img2img|3.360597|||
+|ControlNet inpaint|3.360597||| -->
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