Merge pull request #18 from szjung-test/inpaint

Inpaint 한국어 번역 완료

Author: tjdtnsu

docs/source/ko/using-diffusers/inpaint.mdx

@@ -0,0 +1,75 @@
+<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+-->
+
+# 텍스트-가이드 이미지-인페인팅(inpainting)
+
+[[콜랩에서 열기]]
+
+[`StableDiffusionInpaintPipeline`]은 마스크와 텍스트 프롬프트를 제공하여 이미지의 특정 부분을 편집할 수 있도록 합니다. 이 기능은 인페인팅 작업을 위해 특별히 훈련된 [`runwayml/stable-diffusion-inpainting`](https://huggingface.co/runwayml/stable-diffusion-inpainting)과 같은 Stable Diffusion 버전을 사용합니다.
+
+먼저 [`StableDiffusionInpaintPipeline`] 인스턴스를 로드하여 시작합니다:
+
+```python
+import PIL
+import requests
+import torch
+from io import BytesIO
+
+from diffusers import StableDiffusionInpaintPipeline
+
+pipeline = StableDiffusionInpaintPipeline.from_pretrained(
+    "runwayml/stable-diffusion-inpainting",
+    torch_dtype=torch.float16,
+)
+pipeline = pipeline.to("cuda")
+```
+
+나중에 교체할 강아지 이미지와 마스크를 다운로드하세요:
+
+```python
+def download_image(url):
+    response = requests.get(url)
+    return PIL.Image.open(BytesIO(response.content)).convert("RGB")
+
+
+img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
+mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
+
+init_image = download_image(img_url).resize((512, 512))
+mask_image = download_image(mask_url).resize((512, 512))
+```
+
+이제 마스크를 다른 것으로 교체하라는 메시지를 만들 수 있습니다:
+
+```python
+prompt = "Face of a yellow cat, high resolution, sitting on a park bench"
+image = pipe(prompt=prompt, image=init_image, mask_image=mask_image).images[0]
+```
+
+|                                                                              `image`                                                                               |                                                                              `mask_image`                                                                               |                               `prompt`                               |                                                                                                                                                                   output |
+| :----------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------: | -----------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+| <img src="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png" alt="drawing" width="250"/> | <img src="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png" alt="drawing" width="250"/> | **_Face of a yellow cat, high resolution, sitting on a park bench_** | <img src="https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/in_paint/yellow_cat_sitting_on_a_park_bench.png" alt="drawing" width="250"/> |
+
+<팁 경고={true}>
+
+이전의 실험적인 인페인팅 구현에서는 품질이 낮은 다른 프로세스를 사용했습니다. 이전 버전과의 호환성을 보장하기 위해 새 모델이 포함되지 않은 사전 학습된 파이프라인을 로드하면 이전 인페인팅 방법이 계속 적용됩니다.
+
+</팁>
+
+아래 Space에서 이미지 페인팅을 직접 해보세요!
+
+<iframe
+  src="https://runwayml-stable-diffusion-inpainting.hf.space"
+  frameborder="0"
+  width="850"
+  height="500"
+></iframe>