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98730c5dd7
* Fix typos
* Trim trailing whitespaces
* Remove a trailing whitespace
* chore: Update MarigoldDepthPipeline checkpoint to prs-eth/marigold-lcm-v1-0
* Revert "chore: Update MarigoldDepthPipeline checkpoint to prs-eth/marigold-lcm-v1-0"
This reverts commit fd742b30b4.
* pokemon -> naruto
* `DPMSolverMultistep` -> `DPMSolverMultistepScheduler`
* Improve Markdown stylization
* Improve style
* Improve style
* Refactor pipeline variable names for consistency
* up style
40 lines
1.9 KiB
Markdown
40 lines
1.9 KiB
Markdown
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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-->
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# 추론을 위한 OpenVINO 사용 방법
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🤗 [Optimum](https://github.com/huggingface/optimum-intel)은 OpenVINO와 호환되는 Stable Diffusion 파이프라인을 제공합니다.
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이제 다양한 Intel 프로세서에서 OpenVINO Runtime으로 쉽게 추론을 수행할 수 있습니다. ([여기](https://docs.openvino.ai/latest/openvino_docs_OV_UG_supported_plugins_Supported_Devices.html)서 지원되는 전 기기 목록을 확인하세요).
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## 설치
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다음 명령어로 🤗 Optimum을 설치합니다:
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```sh
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pip install optimum["openvino"]
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```
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## Stable Diffusion 추론
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OpenVINO 모델을 불러오고 OpenVINO 런타임으로 추론을 실행하려면 `StableDiffusionPipeline`을 `OVStableDiffusionPipeline`으로 교체해야 합니다. PyTorch 모델을 불러오고 즉시 OpenVINO 형식으로 변환하려는 경우 `export=True`로 설정합니다.
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```python
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from optimum.intel.openvino import OVStableDiffusionPipeline
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model_id = "runwayml/stable-diffusion-v1-5"
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pipe = OVStableDiffusionPipeline.from_pretrained(model_id, export=True)
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prompt = "a photo of an astronaut riding a horse on mars"
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images = pipe(prompt).images[0]
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```
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[Optimum 문서](https://huggingface.co/docs/optimum/intel/inference#export-and-inference-of-stable-diffusion-models)에서 (정적 reshaping과 모델 컴파일 등의) 더 많은 예시들을 찾을 수 있습니다.
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