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stable-diffusion-xl-base-1.0

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Diffusers
ONNX
Safetensors
StableDiffusionXLPipeline
stable-diffusion
Inference Endpoints
4 papers
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166
patrickvonplaten echarlaix HF staff commited on
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4621659
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1 Parent(s): 76d28af

fix-readme (#109)

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- update readme (e3de54693ba9846e7ba3194ed987ce114291189d)


Co-authored-by: Ella Charlaix <echarlaix@users.noreply.huggingface.co>

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  1. README.md +8 -8
README.md CHANGED
@@ -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 StableDiffusionPipeline
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- + from optimum.intel import OVStableDiffusionPipeline
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  model_id = "stabilityai/stable-diffusion-xl-base-1.0"
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- - pipeline = StableDiffusionPipeline.from_pretrained(model_id)
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- + pipeline = OVStableDiffusionPipeline.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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  ```
@@ -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 StableDiffusionPipeline
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- + from optimum.onnxruntime import ORTStableDiffusionPipeline
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  model_id = "stabilityai/stable-diffusion-xl-base-1.0"
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- - pipeline = StableDiffusionPipeline.from_pretrained(model_id)
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- + pipeline = ORTStableDiffusionPipeline.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 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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  ```