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README.md

@@ -34,6 +34,8 @@ More details on model performance across various devices, can be found
   - Model size: 1GB
 
 
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 | 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 | 21.604 ms | 0 - 93 MB | INT8 | NPU |  [TextEncoder_Quantized.bin](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/TextEncoder_Quantized.bin) 
@@ -41,6 +43,7 @@ More details on model performance across various devices, can be found
 | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 220.629 ms | 0 - 3 MB | INT8 | NPU |  [UNet_Quantized.bin](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/UNet_Quantized.bin) 
 
 
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 ## Installation
 
 This model can be installed as a Python package via pip.
@@ -120,9 +123,11 @@ Compute Units: NPU (6753) | Total (6753)
 
 
 ```
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 ## How does this work?
 
-This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/Stable-Diffusion-v2.1/export.py)
+This [export script](https://aihub.qualcomm.com/models/stable_diffusion_v2_1_quantized/qai_hub_models/models/Stable-Diffusion-v2.1/export.py)
 leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model
 on-device. Lets go through each step below in detail:
 
@@ -208,6 +213,7 @@ AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
 
 
 
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 ## Deploying compiled model to Android
 
 
@@ -229,7 +235,7 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 ## License
 - The license for the original implementation of Stable-Diffusion-v2.1 can be found
   [here](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE).
-- The license for the compiled assets for on-device deployment can be found [here]({deploy_license_url})
+- The license for the compiled assets for on-device deployment can be found [here](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE)
 
 ## References
 * [High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2112.10752)