same license as sdxl-turbo

README.md

@@ -1,5 +1,8 @@
 ---
-license: openrail++
+pipeline_tag: text-to-image
+license: other
+license_name: sai-nc-community
+license_link: https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICENSE.TXT  
 base_model: stabilityai/sdxl-turbo
 language:
   - en
@@ -11,7 +14,6 @@ tags:
   - text-to-image
 ---
 
-
 # Stable Diffusion XL Turbo for ONNX Runtime
 
 ## Introduction
@@ -24,7 +26,7 @@ See the [usage instructions](#usage-example) for how to run the SDXL pipeline wi
 
 - **Developed by:** Stability AI
 - **Model type:** Diffusion-based text-to-image generative model
-- **License:** [CreativeML Open RAIL++-M License](https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/main/LICENSE.md)
+- **License:** [STABILITY AI NON-COMMERCIAL RESEARCH COMMUNITY LICENSE](https://huggingface.co/stabilityai/sd-turbo/blob/main/LICENSE)
 - **Model Description:** This is a conversion of the [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo) model for [ONNX Runtime](https://github.com/microsoft/onnxruntime) inference with CUDA execution provider.
 
 The VAE decoder is converted from [sdxl-vae-fp16-fix](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix). There are slight discrepancies between its output and that of the original VAE, but the decoded images should be [close enough for most purposes](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/discussions/7#64c5c0f8e2e5c94bd04eaa80).
@@ -72,17 +74,17 @@ git clone https://github.com/microsoft/onnxruntime
 cd onnxruntime
 ```
 
-If you want to try canny control net,
-```shell
-git checkout canny_control_net
-```
-
 2. Download the SDXL ONNX files from this repo
 ```shell
 git lfs install
 git clone https://huggingface.co/tlwu/sdxl-turbo-onnxruntime
 ```
 
+If you want to try canny control net, get model from a branch:
+```shell
+git checkout canny_control_net
+```
+
 3. Launch the docker
 ```shell
 docker run --rm -it --gpus all -v $PWD:/workspace nvcr.io/nvidia/pytorch:23.10-py3 /bin/bash