v0.46.1
Browse filesSee https://github.com/quic/ai-hub-models/releases/v0.46.1 for changelog.
This view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +161 -185
- precompiled/qualcomm-qcm6690/ControlNet-Canny_controlnet_w8a16.bin +0 -3
- precompiled/qualcomm-qcm6690/ControlNet-Canny_controlnet_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-qcm6690/ControlNet-Canny_text_encoder_w8a16.bin +0 -3
- precompiled/qualcomm-qcm6690/ControlNet-Canny_text_encoder_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-qcm6690/ControlNet-Canny_unet_w8a16.bin +0 -3
- precompiled/qualcomm-qcm6690/ControlNet-Canny_unet_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-qcm6690/ControlNet-Canny_vae_w8a16.bin +0 -3
- precompiled/qualcomm-qcm6690/ControlNet-Canny_vae_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-qcm6690/tool-versions.yaml +0 -4
- precompiled/qualcomm-qcs8275-proxy/ControlNet-Canny_controlnet_w8a16.bin +0 -3
- precompiled/qualcomm-qcs8275-proxy/ControlNet-Canny_text_encoder_w8a16.bin +0 -3
- precompiled/qualcomm-qcs8275-proxy/ControlNet-Canny_unet_w8a16.bin +0 -3
- precompiled/qualcomm-qcs8275-proxy/ControlNet-Canny_vae_w8a16.bin +0 -3
- precompiled/qualcomm-qcs8275-proxy/tool-versions.yaml +0 -3
- precompiled/qualcomm-qcs8550-proxy/ControlNet-Canny_controlnet_w8a16.bin +0 -3
- precompiled/qualcomm-qcs8550-proxy/ControlNet-Canny_controlnet_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-qcs8550-proxy/ControlNet-Canny_text_encoder_w8a16.bin +0 -3
- precompiled/qualcomm-qcs8550-proxy/ControlNet-Canny_text_encoder_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-qcs8550-proxy/ControlNet-Canny_unet_w8a16.bin +0 -3
- precompiled/qualcomm-qcs8550-proxy/ControlNet-Canny_unet_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-qcs8550-proxy/ControlNet-Canny_vae_w8a16.bin +0 -3
- precompiled/qualcomm-qcs8550-proxy/ControlNet-Canny_vae_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-qcs8550-proxy/tool-versions.yaml +0 -4
- precompiled/qualcomm-qcs9075-proxy/ControlNet-Canny_controlnet_w8a16.bin +0 -3
- precompiled/qualcomm-qcs9075-proxy/ControlNet-Canny_text_encoder_w8a16.bin +0 -3
- precompiled/qualcomm-qcs9075-proxy/ControlNet-Canny_unet_w8a16.bin +0 -3
- precompiled/qualcomm-qcs9075-proxy/ControlNet-Canny_vae_w8a16.bin +0 -3
- precompiled/qualcomm-qcs9075-proxy/tool-versions.yaml +0 -3
- precompiled/qualcomm-sa7255p/ControlNet-Canny_controlnet_w8a16.bin +0 -3
- precompiled/qualcomm-sa7255p/ControlNet-Canny_text_encoder_w8a16.bin +0 -3
- precompiled/qualcomm-sa7255p/ControlNet-Canny_unet_w8a16.bin +0 -3
- precompiled/qualcomm-sa7255p/ControlNet-Canny_vae_w8a16.bin +0 -3
- precompiled/qualcomm-sa7255p/tool-versions.yaml +0 -3
- precompiled/qualcomm-sa8775p/ControlNet-Canny_controlnet_w8a16.bin +0 -3
- precompiled/qualcomm-sa8775p/ControlNet-Canny_text_encoder_w8a16.bin +0 -3
- precompiled/qualcomm-sa8775p/ControlNet-Canny_unet_w8a16.bin +0 -3
- precompiled/qualcomm-sa8775p/ControlNet-Canny_vae_w8a16.bin +0 -3
- precompiled/qualcomm-sa8775p/tool-versions.yaml +0 -3
- precompiled/qualcomm-snapdragon-7gen4/ControlNet-Canny_controlnet_w8a16.bin +0 -3
- precompiled/qualcomm-snapdragon-7gen4/ControlNet-Canny_controlnet_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-snapdragon-7gen4/ControlNet-Canny_text_encoder_w8a16.bin +0 -3
- precompiled/qualcomm-snapdragon-7gen4/ControlNet-Canny_text_encoder_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-snapdragon-7gen4/ControlNet-Canny_unet_w8a16.bin +0 -3
- precompiled/qualcomm-snapdragon-7gen4/ControlNet-Canny_unet_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-snapdragon-7gen4/ControlNet-Canny_vae_w8a16.bin +0 -3
- precompiled/qualcomm-snapdragon-7gen4/ControlNet-Canny_vae_w8a16.onnx.zip +0 -3
- precompiled/qualcomm-snapdragon-7gen4/tool-versions.yaml +0 -4
- precompiled/qualcomm-snapdragon-8-elite-for-galaxy/ControlNet-Canny_controlnet_w8a16.bin +0 -3
- precompiled/qualcomm-snapdragon-8-elite-for-galaxy/ControlNet-Canny_controlnet_w8a16.onnx.zip +0 -3
README.md
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# ControlNet-Canny: Optimized for
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On-device, high-resolution image synthesis from text and image prompts. ControlNet guides Stable-diffusion with provided input image to generate accurate images from given input prompt.
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### Run model on a cloud-hosted device
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In addition to the demo, you can also run the model on a cloud-hosted Qualcomm®
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device. This script does the following:
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* Performance check on-device on a cloud-hosted device
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* Downloads compiled assets that can be deployed on-device for Android.
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* Accuracy check between PyTorch and on-device outputs.
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```bash
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python -m qai_hub_models.models.controlnet_canny.export
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```
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## Deploying compiled model to Android
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The models can be deployed using multiple runtimes:
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- TensorFlow Lite (`.tflite` export): [This
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tutorial](https://www.tensorflow.org/lite/android/quickstart) provides a
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- QNN (`.so` export ): This [sample
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app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html)
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provides instructions on how to use the `.so` shared library in an Android application.
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## View on Qualcomm® AI Hub
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Get more details on ControlNet-Canny's performance across various devices [here](https://aihub.qualcomm.com/models/controlnet_canny).
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Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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## License
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* The license for the original implementation of ControlNet-Canny can be found
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[here](https://github.com/lllyasviel/ControlNet/blob/main/LICENSE).
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## References
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* [Adding Conditional Control to Text-to-Image Diffusion Models](https://arxiv.org/abs/2302.05543)
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* [Source Model Implementation](https://github.com/lllyasviel/ControlNet)
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## Community
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* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
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* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).
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# ControlNet-Canny: Optimized for Qualcomm Devices
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On-device, high-resolution image synthesis from text and image prompts. ControlNet guides Stable-diffusion with provided input image to generate accurate images from given input prompt.
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This is based on the implementation of ControlNet-Canny found [here](https://github.com/lllyasviel/ControlNet).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/controlnet_canny) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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## Getting Started
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There are two ways to deploy this model on your device:
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### Option 1: Download Pre-Exported Models
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Below are pre-exported model assets ready for deployment.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_x_elite.zip)
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| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_8gen3.zip)
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| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-precompiled_qnn_onnx-w8a16-qualcomm_qcs8550_proxy.zip)
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| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_8_elite_for_galaxy.zip)
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| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_7gen4.zip)
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| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_8_elite_gen5.zip)
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| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-precompiled_qnn_onnx-w8a16-qualcomm_qcm6690.zip)
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| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-precompiled_qnn_onnx-w8a16-qualcomm_qcs9075.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_snapdragon_x_elite.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_snapdragon_8gen3.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_qcs8275_proxy.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_qcs8550_proxy.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_sa8775p.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_snapdragon_8_elite_for_galaxy.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_snapdragon_7gen4.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_snapdragon_8_elite_gen5.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_sa7255p.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_qcm6690.zip)
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| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/controlnet_canny/releases/v0.46.1/controlnet_canny-qnn_context_binary-w8a16-qualcomm_qcs9075.zip)
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For more device-specific assets and performance metrics, visit **[ControlNet-Canny on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/controlnet_canny)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/controlnet_canny) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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| 58 |
+
- Custom input shapes
|
| 59 |
+
- Target device and runtime configurations
|
| 60 |
+
|
| 61 |
+
This option is ideal if you need to customize the model beyond the default configuration provided here.
|
| 62 |
+
|
| 63 |
+
See our repository for [ControlNet-Canny on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/controlnet_canny) for usage instructions.
|
| 64 |
+
|
| 65 |
+
## Model Details
|
| 66 |
+
|
| 67 |
+
**Model Type:** Model_use_case.image_generation
|
| 68 |
+
|
| 69 |
+
**Model Stats:**
|
| 70 |
+
- Input: Text prompt and input image as a reference
|
| 71 |
+
- Conditioning Input: Canny-Edge
|
| 72 |
+
- Text Encoder Number of parameters: 340M
|
| 73 |
+
- UNet Number of parameters: 865M
|
| 74 |
+
- VAE Decoder Number of parameters: 83M
|
| 75 |
+
- ControlNet Number of parameters: 361M
|
| 76 |
+
- Model size: 1.4GB
|
| 77 |
+
|
| 78 |
+
## Performance Summary
|
| 79 |
+
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 80 |
+
|---|---|---|---|---|---|---
|
| 81 |
+
| controlnet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 59.129 ms | 351 - 351 MB | NPU
|
| 82 |
+
| controlnet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 45.568 ms | 33 - 45 MB | NPU
|
| 83 |
+
| controlnet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 60.057 ms | 30 - 31 MB | NPU
|
| 84 |
+
| controlnet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 58.171 ms | 30 - 34 MB | NPU
|
| 85 |
+
| controlnet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 1040.403 ms | 0 - 10 MB | NPU
|
| 86 |
+
| controlnet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 33.962 ms | 32 - 43 MB | NPU
|
| 87 |
+
| controlnet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 113.204 ms | 33 - 39 MB | NPU
|
| 88 |
+
| controlnet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 28.884 ms | 31 - 42 MB | NPU
|
| 89 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 75.85 ms | 2 - 2 MB | NPU
|
| 90 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 59.518 ms | 2 - 10 MB | NPU
|
| 91 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 139.916 ms | 2 - 10 MB | NPU
|
| 92 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 83.656 ms | 2 - 10 MB | NPU
|
| 93 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 76.946 ms | 2 - 11 MB | NPU
|
| 94 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 75.284 ms | 0 - 16 MB | NPU
|
| 95 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 964.957 ms | 2 - 8 MB | NPU
|
| 96 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 139.916 ms | 2 - 10 MB | NPU
|
| 97 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 46.052 ms | 2 - 10 MB | NPU
|
| 98 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 124.414 ms | 2 - 8 MB | NPU
|
| 99 |
+
| controlnet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 28.773 ms | 2 - 11 MB | NPU
|
| 100 |
+
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 5.624 ms | 157 - 157 MB | NPU
|
| 101 |
+
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.96 ms | 0 - 7 MB | NPU
|
| 102 |
+
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 5.414 ms | 0 - 162 MB | NPU
|
| 103 |
+
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 5.438 ms | 0 - 3 MB | NPU
|
| 104 |
+
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 28.302 ms | 0 - 6 MB | NPU
|
| 105 |
+
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 3.167 ms | 0 - 7 MB | NPU
|
| 106 |
+
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 5.778 ms | 0 - 6 MB | NPU
|
| 107 |
+
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.635 ms | 0 - 10 MB | NPU
|
| 108 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 3.608 ms | 0 - 0 MB | NPU
|
| 109 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.305 ms | 0 - 7 MB | NPU
|
| 110 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 7.549 ms | 0 - 8 MB | NPU
|
| 111 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 3.239 ms | 0 - 2 MB | NPU
|
| 112 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 3.505 ms | 0 - 9 MB | NPU
|
| 113 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 3.304 ms | 0 - 2 MB | NPU
|
| 114 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 22.025 ms | 0 - 6 MB | NPU
|
| 115 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 7.549 ms | 0 - 8 MB | NPU
|
| 116 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.749 ms | 0 - 13 MB | NPU
|
| 117 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 3.636 ms | 0 - 7 MB | NPU
|
| 118 |
+
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.492 ms | 0 - 10 MB | NPU
|
| 119 |
+
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 115.766 ms | 829 - 829 MB | NPU
|
| 120 |
+
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 84.074 ms | 13 - 26 MB | NPU
|
| 121 |
+
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 117.53 ms | 0 - 883 MB | NPU
|
| 122 |
+
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 109.17 ms | 11 - 26 MB | NPU
|
| 123 |
+
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 2160.0 ms | 10 - 21 MB | NPU
|
| 124 |
+
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 67.33 ms | 6 - 17 MB | NPU
|
| 125 |
+
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 177.928 ms | 9 - 19 MB | NPU
|
| 126 |
+
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 46.028 ms | 13 - 23 MB | NPU
|
| 127 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 113.746 ms | 13 - 13 MB | NPU
|
| 128 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 80.577 ms | 13 - 20 MB | NPU
|
| 129 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 264.31 ms | 8 - 15 MB | NPU
|
| 130 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 112.347 ms | 10 - 12 MB | NPU
|
| 131 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 106.976 ms | 10 - 17 MB | NPU
|
| 132 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 106.531 ms | 11 - 25 MB | NPU
|
| 133 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 2039.478 ms | 13 - 24 MB | NPU
|
| 134 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 264.31 ms | 8 - 15 MB | NPU
|
| 135 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 61.075 ms | 6 - 18 MB | NPU
|
| 136 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 179.697 ms | 10 - 15 MB | NPU
|
| 137 |
+
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 47.215 ms | 13 - 22 MB | NPU
|
| 138 |
+
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 219.597 ms | 59 - 59 MB | NPU
|
| 139 |
+
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 163.642 ms | 4 - 11 MB | NPU
|
| 140 |
+
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 219.435 ms | 0 - 66 MB | NPU
|
| 141 |
+
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 207.133 ms | 3 - 6 MB | NPU
|
| 142 |
+
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 5359.841 ms | 0 - 7 MB | NPU
|
| 143 |
+
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 147.795 ms | 3 - 16 MB | NPU
|
| 144 |
+
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 445.729 ms | 3 - 9 MB | NPU
|
| 145 |
+
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 89.515 ms | 3 - 14 MB | NPU
|
| 146 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 266.163 ms | 0 - 0 MB | NPU
|
| 147 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 202.114 ms | 0 - 8 MB | NPU
|
| 148 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 725.838 ms | 0 - 9 MB | NPU
|
| 149 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 273.289 ms | 1 - 5 MB | NPU
|
| 150 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 1136.64 ms | 0 - 9 MB | NPU
|
| 151 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 249.997 ms | 0 - 3 MB | NPU
|
| 152 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 6374.38 ms | 0 - 6 MB | NPU
|
| 153 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 725.838 ms | 0 - 9 MB | NPU
|
| 154 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 178.859 ms | 0 - 13 MB | NPU
|
| 155 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 512.932 ms | 0 - 6 MB | NPU
|
| 156 |
+
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 116.219 ms | 0 - 9 MB | NPU
|
|
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|
| 157 |
|
| 158 |
## License
|
| 159 |
* The license for the original implementation of ControlNet-Canny can be found
|
| 160 |
[here](https://github.com/lllyasviel/ControlNet/blob/main/LICENSE).
|
| 161 |
|
|
|
|
|
|
|
| 162 |
## References
|
| 163 |
* [Adding Conditional Control to Text-to-Image Diffusion Models](https://arxiv.org/abs/2302.05543)
|
| 164 |
* [Source Model Implementation](https://github.com/lllyasviel/ControlNet)
|
| 165 |
|
|
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|
|
|
|
| 166 |
## Community
|
| 167 |
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
|
| 168 |
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).
|
| 169 |
|
| 170 |
+
## Usage and Limitations
|
| 171 |
+
|
| 172 |
+
This model may not be used for or in connection with any of the following applications:
|
| 173 |
+
|
| 174 |
+
- Accessing essential private and public services and benefits;
|
| 175 |
+
- Administration of justice and democratic processes;
|
| 176 |
+
- Assessing or recognizing the emotional state of a person;
|
| 177 |
+
- Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
|
| 178 |
+
- Education and vocational training;
|
| 179 |
+
- Employment and workers management;
|
| 180 |
+
- Exploitation of the vulnerabilities of persons resulting in harmful behavior;
|
| 181 |
+
- General purpose social scoring;
|
| 182 |
+
- Law enforcement;
|
| 183 |
+
- Management and operation of critical infrastructure;
|
| 184 |
+
- Migration, asylum and border control management;
|
| 185 |
+
- Predictive policing;
|
| 186 |
+
- Real-time remote biometric identification in public spaces;
|
| 187 |
+
- Recommender systems of social media platforms;
|
| 188 |
+
- Scraping of facial images (from the internet or otherwise); and/or
|
| 189 |
+
- Subliminal manipulation
|
precompiled/qualcomm-qcm6690/ControlNet-Canny_controlnet_w8a16.bin
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