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README.md

@@ -38,9 +38,9 @@ More details on model performance across various devices, can be found
 
 | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 | ---|---|---|---|---|---|---|---|
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 11.701 ms | 0 - 1 MB | INT8 | NPU |  [TextEncoder_Quantized.bin](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/TextEncoder_Quantized.bin) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 216.248 ms | 0 - 1 MB | INT8 | NPU |  [VAEDecoder_Quantized.bin](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/VAEDecoder_Quantized.bin) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 100.062 ms | 0 - 2 MB | INT8 | NPU |  [UNet_Quantized.bin](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/UNet_Quantized.bin) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 11.633 ms | 0 - 1 MB | INT8 | NPU |  [TextEncoder_Quantized.bin](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/TextEncoder_Quantized.bin) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 217.134 ms | 0 - 2 MB | INT8 | NPU |  [VAEDecoder_Quantized.bin](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/VAEDecoder_Quantized.bin) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 101.094 ms | 0 - 2 MB | INT8 | NPU |  [UNet_Quantized.bin](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/UNet_Quantized.bin) 
 
 
 
@@ -103,22 +103,22 @@ python -m qai_hub_models.models.stable_diffusion_v2_1_quantized.export
 Profile Job summary of TextEncoder_Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 11.80 ms
-Estimated Peak Memory Range: 0.02-0.02 MB
+Estimated Inference Time: 11.77 ms
+Estimated Peak Memory Range: 0.01-0.01 MB
 Compute Units: NPU (1040) | Total (1040)
 
 Profile Job summary of VAEDecoder_Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 220.25 ms
-Estimated Peak Memory Range: 0.04-0.04 MB
+Estimated Inference Time: 220.18 ms
+Estimated Peak Memory Range: 0.05-0.05 MB
 Compute Units: NPU (170) | Total (170)
 
 Profile Job summary of UNet_Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 102.50 ms
-Estimated Peak Memory Range: 0.20-0.20 MB
+Estimated Inference Time: 102.49 ms
+Estimated Peak Memory Range: 0.19-0.19 MB
 Compute Units: NPU (6361) | Total (6361)
 
 
@@ -242,7 +242,7 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 * [Source Model Implementation](https://github.com/CompVis/stable-diffusion/tree/main)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).