Update documentation (#4422)

* update documentation

* minor

docs/source/en/optimization/onnx.md

@@ -86,12 +86,13 @@ optimum-cli export onnx --model stabilityai/stable-diffusion-xl-base-1.0 --task
 
 ### Inference
 
-To load an ONNX model and run inference with ONNX Runtime, you need to replace `StableDiffusionPipelineXL` with `ORTStableDiffusionPipelineXL` :
+Here is an example of how you can load a SDXL ONNX model from [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) and run inference with ONNX Runtime :
 
 ```python
 from optimum.onnxruntime import ORTStableDiffusionXLPipeline
 
-pipeline = ORTStableDiffusionXLPipeline.from_pretrained("sd_xl_onnx")
+model_id = "stabilityai/stable-diffusion-xl-base-1.0"
+pipeline = ORTStableDiffusionXLPipeline.from_pretrained(model_id)
 prompt = "sailing ship in storm by Leonardo da Vinci"
 image = pipeline(prompt).images[0]
 ```

docs/source/en/optimization/open_vino.md

@@ -85,11 +85,13 @@ You can find more examples in the optimum [documentation](https://huggingface.co
 
 ### Inference
 
+Here is an example of how you can load a SDXL OpenVINO model from [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) and run inference with OpenVINO Runtime :
+
 ```python
 from optimum.intel import OVStableDiffusionXLPipeline
 
 model_id = "stabilityai/stable-diffusion-xl-base-1.0"
-pipeline = OVStableDiffusionXLPipeline.from_pretrained(model_id, export=True)
+pipeline = OVStableDiffusionXLPipeline.from_pretrained(model_id)
 prompt = "sailing ship in storm by Rembrandt"
 image = pipeline(prompt).images[0]
 ```