# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2024.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: Xinference\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-12-04 17:26+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: ko <LL@li.org>\n"
"Language: ko\n"
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"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.18.0\n"

#: ../../source/models/model_abilities/image.rst:5
msgid "Images"
msgstr "이미지"

#: ../../source/models/model_abilities/image.rst:7
msgid "Learn how to generate images with Xinference."
msgstr "Xinference를 사용하여 이미지를 생성하는 방법을 학습합니다."

#: ../../source/models/model_abilities/image.rst:11
msgid "Introduction"
msgstr "소개"

#: ../../source/models/model_abilities/image.rst:14
msgid "The Images API provides two methods for interacting with images:"
msgstr "Images API는 이미지와 상호작용하는 두 가지 방법을 제공합니다:"

#: ../../source/models/model_abilities/image.rst:17
msgid ""
"The Text-to-image endpoint create images from scratch based on a text "
"prompt."
msgstr "텍스트-이미지 엔드포인트는 텍스트로부터 처음부터 이미지를 생성합니다."

#: ../../source/models/model_abilities/image.rst:18
msgid ""
"The Image-to-image endpoint allows you to generate a variation of a given "
"image."
msgstr "그림 생성 엔드포인트는 주어진 이미지의 변형을 생성할 수 있게 합니다."

#: ../../source/models/model_abilities/image.rst:25
msgid "API ENDPOINT"
msgstr "API 엔드포인트"

#: ../../source/models/model_abilities/image.rst:26
msgid "OpenAI-compatible ENDPOINT"
msgstr "OpenAI 호환 엔드포인트"

#: ../../source/models/model_abilities/image.rst:28
msgid "Text-to-Image API"
msgstr ""

#: ../../source/models/model_abilities/image.rst:29
msgid "/v1/images/generations"
msgstr ""

#: ../../source/models/model_abilities/image.rst:31
msgid "Image-to-image API"
msgstr ""

#: ../../source/models/model_abilities/image.rst:32
msgid "/v1/images/variations"
msgstr ""

#: ../../source/models/model_abilities/image.rst:35
msgid "Supported models"
msgstr "지원되는 모델 목록"

#: ../../source/models/model_abilities/image.rst:37
msgid ""
"The Text-to-image API is supported with the following models in Xinference:"
msgstr "Xinference에서 Text-to-image API는 다음 모델을 지원합니다:"

#: ../../source/models/model_abilities/image.rst:39
msgid "sd-turbo"
msgstr ""

#: ../../source/models/model_abilities/image.rst:40
msgid "sdxl-turbo"
msgstr ""

#: ../../source/models/model_abilities/image.rst:41
msgid "stable-diffusion-v1.5"
msgstr ""

#: ../../source/models/model_abilities/image.rst:42
msgid "stable-diffusion-xl-base-1.0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:43
#: ../../source/models/model_abilities/image.rst:213
msgid "sd3-medium"
msgstr ""

#: ../../source/models/model_abilities/image.rst:44
#: ../../source/models/model_abilities/image.rst:215
#: ../../source/models/model_abilities/image.rst:252
msgid "sd3.5-medium"
msgstr ""

#: ../../source/models/model_abilities/image.rst:45
#: ../../source/models/model_abilities/image.rst:217
#: ../../source/models/model_abilities/image.rst:254
msgid "sd3.5-large"
msgstr ""

#: ../../source/models/model_abilities/image.rst:46
#: ../../source/models/model_abilities/image.rst:219
#: ../../source/models/model_abilities/image.rst:256
msgid "sd3.5-large-turbo"
msgstr ""

#: ../../source/models/model_abilities/image.rst:47
#: ../../source/models/model_abilities/image.rst:211
#: ../../source/models/model_abilities/image.rst:250
msgid "FLUX.1-schnell"
msgstr ""

#: ../../source/models/model_abilities/image.rst:48
#: ../../source/models/model_abilities/image.rst:209
#: ../../source/models/model_abilities/image.rst:248
msgid "FLUX.1-dev"
msgstr ""

#: ../../source/models/model_abilities/image.rst:49
msgid "Kolors"
msgstr ""

#: ../../source/models/model_abilities/image.rst:50
msgid "hunyuandit-v1.2"
msgstr ""

#: ../../source/models/model_abilities/image.rst:51
msgid "hunyuandit-v1.2-distilled"
msgstr ""

#: ../../source/models/model_abilities/image.rst:52
msgid "cogview4"
msgstr ""

#: ../../source/models/model_abilities/image.rst:53
#: ../../source/models/model_abilities/image.rst:221
#: ../../source/models/model_abilities/image.rst:258
#: ../../source/models/model_abilities/image.rst:292
msgid "Qwen-Image"
msgstr ""

#: ../../source/models/model_abilities/image.rst:55
msgid "Image-to-image supported models:"
msgstr "지원되는 모델 목록"

#: ../../source/models/model_abilities/image.rst:57
msgid "Flux.1-Kontext-dev"
msgstr ""

#: ../../source/models/model_abilities/image.rst:58
#: ../../source/models/model_abilities/image.rst:223
#: ../../source/models/model_abilities/image.rst:260
#: ../../source/models/model_abilities/image.rst:294
msgid "Qwen-Image-Edit"
msgstr ""

#: ../../source/models/model_abilities/image.rst:62
msgid "Quickstart"
msgstr "빠른 시작"

#: ../../source/models/model_abilities/image.rst:65
msgid "Text-to-image"
msgstr "Text-to-image"

#: ../../source/models/model_abilities/image.rst:67
msgid ""
"The Text-to-image API mimics OpenAI's `create images API "
"<https://platform.openai.com/docs/api-reference/images/create>`_. We can try"
" Text-to-image API out either via cURL, OpenAI Client, or Xinference's "
"python client:"
msgstr ""
"cURL, OpenAI Client 또는 Xinference를 통해 Text-to-image API를 사용해 볼 수 있습니다."

#: ../../source/models/model_abilities/image.rst:121
msgid "Image-to-image"
msgstr "그림에서 그림으로"

#: ../../source/models/model_abilities/image.rst:123
msgid ""
"The Image-to-image API mimics OpenAI's `create image variation API "
"<https://platform.openai.com/docs/api-reference/images/createVariation>`_. "
"We can try image-to-image API out either via cURL, OpenAI Client, or "
"Xinference's python client:"
msgstr ""
"이미지에서 이미지로 변환하는 API는 OpenAI의 `이미지 변형 생성 API "
"<https://platform.openai.com/docs/api-reference/images/createVariation>`_를 "
"모방했습니다. cURL, OpenAI 클라이언트 또는 Xinference의 Python 클라이언트를 통해 이미지에서 이미지로 변환하는 "
"API를 사용해볼 수 있습니다."

#: ../../source/models/model_abilities/image.rst:176
msgid "Memory optimization for Large Image Models e.g. SD3-Medium, FLUX.1"
msgstr "대형 이미지 모델(예: SD3-Medium, FLUX.1)의 메모리 최적화"

#: ../../source/models/model_abilities/image.rst:180
msgid ""
"From v0.16.1, Xinference by default enabled quantization for large image "
"models like Flux.1 and SD3.5 series. So if your Xinference version is newer "
"than v0.16.1, You barely need to do anything to run those large image models"
" on GPUs with small memory."
msgstr ""
"v0.16.1부터 Xinference는 기본적으로 Flux.1 및 SD3.5 시리즈와 같은 대형 이미지 모델에 대해 양자화를 "
"활성화합니다. v0.16.1보다 새로운 Xinference 버전을 사용하는 경우, 작은 GPU 메모리를 가진 머신에서 이러한 대형 이미지"
" 모델을 실행하기 위해 별도로 해야 할 일은 없습니다."

#: ../../source/models/model_abilities/image.rst:185
msgid "Useful extra parameters can be passed to launch including:"
msgstr "유용한 전달 인수에는 로드 모델에 대한 추가 매개변수가 포함됩니다:"

#: ../../source/models/model_abilities/image.rst:187
msgid ""
"``--cpu_offload True``: specifying ``True`` will offload the components of "
"the model to CPU during inference in order to save memory, while seeing a "
"slight increase in inference latency. Model offloading will only move a "
"model component onto the GPU when it needs to be executed, while keeping the"
" remaining components on the CPU."
msgstr ""
"``--cpu_offload True``: ``True``를 지정하면 추론 과정에서 모델의 구성 요소를 CPU로 오프로드하여 메모리를 "
"절약하며, 이로 인해 추론 지연 시간이 약간 증가할 수 있습니다. 모델 오프로드는 실행이 필요할 때만 모델 구성 요소를 GPU로 "
"이동시키고, 나머지 구성 요소는 CPU에 유지합니다."

#: ../../source/models/model_abilities/image.rst:191
msgid ""
"``--quantize_text_encoder <text encoder layer>``: We leveraged the "
"``bitsandbytes`` library to load and quantize the T5-XXL text encoder to "
"8-bit precision. This allows you to keep using all text encoders while only "
"slightly impacting performance."
msgstr ""
"``--quantize_text_encoder <text encoder layer>``：우리는 ``bitsandbytes`` 라이브러리를"
" 사용하여 T5-XXL 텍스트 인코더를 로드하고 8비트 정밀도로 양자화합니다. 이를 통해 성능에 미미한 영향만을 주면서도 전체 텍스트 "
"인코더를 계속 사용할 수 있습니다."

#: ../../source/models/model_abilities/image.rst:194
msgid ""
"``--text_encoder_3 None``, for sd3-medium, removing the memory-intensive "
"4.7B parameter T5-XXL text encoder during inference can significantly "
"decrease the memory requirements with only a slight loss in performance."
msgstr ""
"``--text_encoder_3 None``: sd3-medium의 경우, 추론 과정에서 메모리 집약적인 47억 매개변수 T5-XXL "
"텍스트 인코더를 제거하면 메모리 요구량이 크게 줄어들며, 성능 저하는 미미합니다."

#: ../../source/models/model_abilities/image.rst:197
msgid "``--transformer_nf4 True``: use nf4 for transformer quantization."
msgstr "``--transformer_nf4 True`` : nf4 양자화를 사용하여 transformer를 변환합니다."

#: ../../source/models/model_abilities/image.rst:198
msgid ""
"``--quantize``: Only work for MLX on Mac, Flux.1-dev and Flux.1-schnell will"
" switch to MLX engine on Mac, and ``quantize`` can be used to quantize the "
"model."
msgstr ""
"``--quantize``: macOS의 MLX 엔진에만 적용됩니다. Flux.1-dev와 Flux.1-schnell은 Mac에서 MLX"
" 엔진을 사용하여 계산하며, `quantize`는 모델을 양자화하는 데 사용할 수 있습니다."

#: ../../source/models/model_abilities/image.rst:201
msgid ""
"For WebUI, Just add additional parameters, e.g. add key ``cpu_offload`` and "
"value ``True`` to enable cpu offloading."
msgstr ""
"WebUI의 경우, 추가 매개변수를 추가하기만 하면 됩니다. 예를 들어, CPU 오프로드를 활성화하려면 키 ``cpu_offload``와"
" 값 ``True``를 추가하세요."

#: ../../source/models/model_abilities/image.rst:204
msgid "Below list default options that used from v0.16.1."
msgstr "다음은 v0.16.1부터 기본적으로 사용되는 매개변수를 나열한 것입니다."

#: ../../source/models/model_abilities/image.rst:207
#: ../../source/models/model_abilities/image.rst:246
#: ../../source/models/model_abilities/image.rst:290
msgid "Model"
msgstr "모델"

#: ../../source/models/model_abilities/image.rst:207
msgid "quantize_text_encoder"
msgstr ""

#: ../../source/models/model_abilities/image.rst:207
msgid "quantize"
msgstr ""

#: ../../source/models/model_abilities/image.rst:207
msgid "transformer_nf4"
msgstr ""

#: ../../source/models/model_abilities/image.rst:209
#: ../../source/models/model_abilities/image.rst:211
msgid "text_encoder_2"
msgstr ""

#: ../../source/models/model_abilities/image.rst:209
#: ../../source/models/model_abilities/image.rst:211
#: ../../source/models/model_abilities/image.rst:217
#: ../../source/models/model_abilities/image.rst:219
msgid "True"
msgstr ""

#: ../../source/models/model_abilities/image.rst:209
#: ../../source/models/model_abilities/image.rst:211
#: ../../source/models/model_abilities/image.rst:213
#: ../../source/models/model_abilities/image.rst:215
#: ../../source/models/model_abilities/image.rst:221
#: ../../source/models/model_abilities/image.rst:223
msgid "False"
msgstr ""

#: ../../source/models/model_abilities/image.rst:213
#: ../../source/models/model_abilities/image.rst:215
#: ../../source/models/model_abilities/image.rst:217
#: ../../source/models/model_abilities/image.rst:219
msgid "text_encoder_3"
msgstr ""

#: ../../source/models/model_abilities/image.rst:213
#: ../../source/models/model_abilities/image.rst:215
#: ../../source/models/model_abilities/image.rst:217
#: ../../source/models/model_abilities/image.rst:219
#: ../../source/models/model_abilities/image.rst:221
#: ../../source/models/model_abilities/image.rst:223
msgid "N/A"
msgstr ""

#: ../../source/models/model_abilities/image.rst:221
#: ../../source/models/model_abilities/image.rst:223
msgid "text_encoder"
msgstr ""

#: ../../source/models/model_abilities/image.rst:228
msgid ""
"If you want to disable some quantization, just set the corresponding option "
"to False. e.g. for Web UI, set key ``quantize_text_encoder`` and value "
"``False`` and for command line, specify ``--quantize_text_encoder False`` to"
" disable quantization for text encoder."
msgstr ""
"특정 양자화를 비활성화하려면 해당 옵션을 False로 설정하기만 하면 됩니다. 예를 들어, Web UI의 경우 key "
"``quantize_text_encoder``에 값 ``False``를 설정하거나, 명령줄의 경우 "
"``--quantize_text_encoder False``를 지정하여 text encoder의 양자화를 비활성화할 수 있습니다."

#: ../../source/models/model_abilities/image.rst:233
msgid ""
"For :ref:`CogView4 <models_builtin_cogview4>`, we found that quantization "
"has a significant impact on the model. Therefore, when GPU memory is "
"limited, we recommend enabling the CPU offload option in the Web UI, and "
"specifying ``--cpu_offload True`` when loading the model via the command "
"line."
msgstr ""
":ref:`CogView4 <models_builtin_cogview4>`에 대해, 양자화가 모델에 미치는 영향이 크다는 것을 "
"발견했습니다. 따라서 VRAM이 제한된 경우, Web UI에서 CPU offload 옵션을 활성화하고, 명령줄에서 모델을 로드할 때 "
"``--cpu_offload True``를 지정하는 것을 권장합니다."

#: ../../source/models/model_abilities/image.rst:238
msgid "GGUF file format"
msgstr "GGUF 파일 형식"

#: ../../source/models/model_abilities/image.rst:240
msgid ""
"GGUF file format for transformer provides various quantization options. To "
"use gguf file, you can specify additional option ``gguf_quantization`` for "
"web UI, or ``--gguf_quantization`` for command line for those image models "
"which support internally by Xinference. Below is the mode list."
msgstr ""
"GGUF 파일 형식은 transformer 모듈에 다양한 양자화 옵션을 제공합니다. GGUF 파일을 사용하려면 웹 인터페이스에서 추가 "
"옵션 ``gguf_quantization`` 을 지정하거나, 명령줄에서 ``--gguf_quantization`` 을 지정하여 "
"Xinference가 기본적으로 GGUF 양자화를 지원하는 모델에 대해 활성화할 수 있습니다. 다음은 기본적으로 지원되는 모델입니다."

#: ../../source/models/model_abilities/image.rst:246
msgid "supported gguf quantization"
msgstr "GGUF 양자화 포맷 지원"

#: ../../source/models/model_abilities/image.rst:248
#: ../../source/models/model_abilities/image.rst:250
msgid "F16, Q2_K, Q3_K_S, Q4_0, Q4_1, Q4_K_S, Q5_0, Q5_1, Q5_K_S, Q6_K, Q8_0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:252
#: ../../source/models/model_abilities/image.rst:258
msgid ""
"F16, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_0, Q5_1, Q5_K_M, Q5_K_S,"
" Q6_K, Q8_0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:254
#: ../../source/models/model_abilities/image.rst:256
msgid "F16, Q4_0, Q4_1, Q5_0, Q5_1, Q8_0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:260
#: ../../source/models/model_abilities/image.rst:262
msgid ""
"Q2_K, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_0, Q5_1, Q5_K_M, "
"Q5_K_S, Q6_K, Q8_0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:262
#: ../../source/models/model_abilities/image.rst:296
msgid "Qwen-Image-Edit-2509"
msgstr ""

#: ../../source/models/model_abilities/image.rst:267
msgid ""
"We stronly recommend to enable additional option ``cpu_offload`` with value "
"``True`` for WebUI, or specify ``--cpu_offload True`` for command line."
msgstr ""
"웹 UI에서 추가 옵션 ``cpu_offload``를 ``True``로 설정하거나, 명령줄에서 ``--cpu_offload True``를"
" 지정할 것을 강력히 권장합니다."

#: ../../source/models/model_abilities/image.rst:270
msgid "Example:"
msgstr "예:"

#: ../../source/models/model_abilities/image.rst:276
msgid ""
"With ``Q2_K`` quantization, you only need around 5 GiB GPU memory to run "
"Flux.1-dev."
msgstr "``Q2_K`` 양자화를 사용하면 Flux.1-dev를 실행하는 데 약 5GB의 VRAM만 필요합니다."

#: ../../source/models/model_abilities/image.rst:278
msgid ""
"For those models gguf options are not supported internally, or you want to "
"download gguf files on you own, you can specify additional option "
"``gguf_model_path`` for web UI or spcecify ``--gguf_model_path "
"/path/to/model_quant.gguf`` for command line."
msgstr ""
"비내장 지원 GGUF 양자화 모델의 경우, 또는 직접 GGUF 파일을 다운로드하려는 경우, Web UI에서 추가 옵션 "
"``gguf_model_path``를 지정하거나 명령줄에서 ``--gguf_model_path "
"/path/to/model_quant.gguf``를 지정할 수 있습니다."

#: ../../source/models/model_abilities/image.rst:283
msgid "Lightning LORA Support"
msgstr "Lightning LORA 지원"

#: ../../source/models/model_abilities/image.rst:285
msgid ""
"Lightning LORA performs distillation on models in the form of LoRA, reducing"
" the number of inference steps while maintaining model performance, and "
"significantly speeding up inference. The following models currently support "
"this LoRA:"
msgstr ""
"Lightning LORA는 LoRA 형태로 모델을 증류하여, 모델 성능을 유지하면서 추론 단계를 줄이고 추론 속도를 대폭 향상시킵니다."
" 현재 다음 모델이 이 LoRA를 지원합니다:"

#: ../../source/models/model_abilities/image.rst:290
msgid "Supported lightning version"
msgstr "지원되는 Lightning 버전"

#: ../../source/models/model_abilities/image.rst:292
msgid ""
"4steps-V1.0-bf16, 4steps-V1.0, 8steps-V1.0, 8steps-V1.1-bf16, 8steps-V1.1"
msgstr ""

#: ../../source/models/model_abilities/image.rst:294
msgid "4steps-V1.0-bf16, 4steps-V1.0, 8steps-V1.0-bf16, 8steps-V1.0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:296
msgid "4steps-V1.0-bf16, 4steps-V1.0-fp32, 8steps-V1.0-bf16, 8steps-V1.0-fp32"
msgstr ""

#: ../../source/models/model_abilities/image.rst:299
msgid ""
"4 steps or 8 steps refer to the inference steps (``num_inference_steps``). "
"When ``lightning_version`` is specified, Xinference will automatically set "
"the number of inference steps."
msgstr ""
"4단계 또는 8단계는 추론 단계 수( ``num_inference_steps`` )를 의미합니다. ``lightning_version``"
" 이 지정되면 Xinference가 자동으로 추론 단계 수를 설정합니다."

#: ../../source/models/model_abilities/image.rst:302
msgid ""
"When using it, select the lightning version in the interface, or specify it "
"via the command line."
msgstr "사용 시, 인터페이스에서 lightning 버전을 선택하거나 명령줄을 통해 지정할 수 있습니다."

#: ../../source/models/model_abilities/image.rst:308
msgid "Use the command line with ``--lightning_version <version>``."
msgstr "명령줄에서 ``--lightning_version <version>``을 사용하십시오."

#: ../../source/models/model_abilities/image.rst:310
msgid ""
"For those who have downloaded the lightning LoRA files themselves, you can "
"specify them via the Lightning Model Path in the interface or by using the "
"command line option ``--lightning_model_path``."
msgstr ""
"Lightning LoRA 파일을 직접 다운로드한 사용자는 인터페이스에서 Lightning Model Path로 지정하거나 명령줄 인자 "
"``--lightning_model_path`` 를 사용할 수 있습니다."

#: ../../source/models/model_abilities/image.rst:313
msgid ""
"For example, using ``4steps-V1.0``, the inference time is reduced from the "
"original 34s to 3s."
msgstr "예를 들어, ``4steps-V1.0``을 사용하면 추론 시간이 기존 34초에서 3초로 줄어듭니다."

#: ../../source/models/model_abilities/image.rst:316
msgid "OCR"
msgstr ""

#: ../../source/models/model_abilities/image.rst:318
msgid "The OCR API accepts image bytes and returns the OCR text."
msgstr "OCR API는 이미지 바이트를 받아 OCR 텍스트를 반환합니다."

#: ../../source/models/model_abilities/image.rst:320
msgid "We can try OCR API out either via cURL, or Xinference's python client:"
msgstr "cURL 또는 Xinference의 Python 클라이언트를 통해 OCR API를 시도할 수 있습니다."

#~ msgid "You can find more examples of Images API in the tutorial notebook:"
#~ msgstr "튜토리얼 노트북에서 더 많은 Images API 예제를 찾을 수 있습니다."

#~ msgid "Stable Diffusion ControlNet"
#~ msgstr ""

#~ msgid "Learn from a Stable Diffusion ControlNet example"
#~ msgstr "Stable Diffusion 제어 네트워크 예제 학습하기"
