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4621659
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Parent(s):
76d28af
fix-readme (#109)
Browse files- update readme (e3de54693ba9846e7ba3194ed987ce114291189d)
Co-authored-by: Ella Charlaix <echarlaix@users.noreply.huggingface.co>
README.md
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@@ -146,12 +146,12 @@ pip install optimum[openvino]
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To load an OpenVINO model and run inference with OpenVINO Runtime, you need to replace `StableDiffusionXLPipeline` with Optimum `OVStableDiffusionXLPipeline`. In case you want to load a PyTorch model and convert it to the OpenVINO format on-the-fly, you can set `export=True`.
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```diff
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- from diffusers import
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+ from optimum.intel import
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model_id = "stabilityai/stable-diffusion-xl-base-1.0"
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- pipeline =
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+ pipeline =
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prompt = "A majestic lion jumping from a big stone at night"
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image = pipeline(prompt).images[0]
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```
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@@ -170,12 +170,12 @@ pip install optimum[onnxruntime]
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To load an ONNX model and run inference with ONNX Runtime, you need to replace `StableDiffusionXLPipeline` with Optimum `ORTStableDiffusionXLPipeline`. In case you want to load a PyTorch model and convert it to the ONNX format on-the-fly, you can set `export=True`.
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```diff
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- from diffusers import
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+ from optimum.onnxruntime import
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model_id = "stabilityai/stable-diffusion-xl-base-1.0"
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- pipeline =
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+ pipeline =
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prompt = "A majestic lion jumping from a big stone at night"
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image = pipeline(prompt).images[0]
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```
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To load an OpenVINO model and run inference with OpenVINO Runtime, you need to replace `StableDiffusionXLPipeline` with Optimum `OVStableDiffusionXLPipeline`. In case you want to load a PyTorch model and convert it to the OpenVINO format on-the-fly, you can set `export=True`.
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```diff
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- from diffusers import StableDiffusionXLPipeline
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+ from optimum.intel import OVStableDiffusionXLPipeline
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model_id = "stabilityai/stable-diffusion-xl-base-1.0"
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- pipeline = StableDiffusionXLPipeline.from_pretrained(model_id)
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+ pipeline = OVStableDiffusionXLPipeline.from_pretrained(model_id)
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prompt = "A majestic lion jumping from a big stone at night"
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image = pipeline(prompt).images[0]
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```
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To load an ONNX model and run inference with ONNX Runtime, you need to replace `StableDiffusionXLPipeline` with Optimum `ORTStableDiffusionXLPipeline`. In case you want to load a PyTorch model and convert it to the ONNX format on-the-fly, you can set `export=True`.
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```diff
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- from diffusers import StableDiffusionXLPipeline
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+ from optimum.onnxruntime import ORTStableDiffusionXLPipeline
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model_id = "stabilityai/stable-diffusion-xl-base-1.0"
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- pipeline = StableDiffusionXLPipeline.from_pretrained(model_id)
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+ pipeline = ORTStableDiffusionXLPipeline.from_pretrained(model_id)
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prompt = "A majestic lion jumping from a big stone at night"
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image = pipeline(prompt).images[0]
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```
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