[Docs] Korean translation update by tjdtnsu · Pull Request #4684 · huggingface/diffusers

tjdtnsu · 2023-08-20T05:29:07Z

What does this PR do?

Added some documentation translated into Korean. (part 3)

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controlnet, reproducibility 업로드 generator 그대로 사용 seamless multi-GPU 그대로 사용 create_dataset 번역 1차 stable_diffusion_jax new translation Add coreml, tome kr docs minor fix translate training/instructpix2pix fix training/instructpix2pix.mdx using-diffusers/weighting_prompts 번역 1차 add SDXL docs Translate using-diffuers/loading_overview.md translate using-diffusers/textual_inversion_inference.md Conditional image generation (#37) * stable_diffusion_jax * index_update * index_update * condition_image_generation --------- Co-authored-by: Seongsu Park <tjdtnsu@gmail.com> jihwan/stable_diffusion.mdx custom_diffusion 작업 완료 quicktour 작업 완료 distributed inference & control brightness (#40) * distributed_inference.mdx * control_brightness --------- Co-authored-by: idra79haza <idra79haza@github.com> Co-authored-by: Seongsu Park <tjdtnsu@gmail.com> using_safetensors (#41) * distributed_inference.mdx * control_brightness * using_safetensors.mdx --------- Co-authored-by: idra79haza <idra79haza@github.com> Co-authored-by: Seongsu Park <tjdtnsu@gmail.com> delete safetensor short

stevhliu

Wow, thanks for translating all these docs! 🤩

A fix was recently merged to main to fix the Build PR Documentation test. Would you mind updating your branch so all the tests pass?

…docs_kr_update

tjdtnsu · 2023-08-27T12:51:16Z

Hello. Thank you for reviewing them.
I fixed these changes, and I hope the test will be passed. If there is something wrong, feel free to comment me.

HuggingFaceDocBuilderDev · 2023-08-29T14:29:48Z

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint.

stevhliu

Big thanks again for working on translating so many of these! I'd just like to ping @wonhyeongseo for maybe a quick review of the content for accuracy, then we're good to merge! 🚀

wonhyeongseo

Great work @Snailpong for your contribution in translating the diffusers documentation! Your dedication and effort in making the project more accessible to a wider Korean audience are truly appreciated. 🙌📚 Please see the suggestions below.

wonhyeongseo · 2023-08-30T01:03:43Z

+
+*text-to-image의 latent diffusion 모델인 SDXL을 소개합니다. 이전 버전의 Stable Diffusion과 비교하면, SDXL은 세 배 더큰 규모의 UNet 백본을 포함합니다: 모델 파라미터의 증가는 많은 attention 블럭을 사용하고 더 큰 cross-attention context를 SDXL의 두 번째 텍스트 인코더에 사용하기 때문입니다. 다중 종횡비에 다수의 새로운 conditioning 방법을 구성했습니다. 또한 후에 수정하는 image-to-image 기술을 사용함으로써 SDXL에 의해 생성된 시각적 품질을 향상하기 위해 정제된 모델을 소개합니다. SDXL은 이전 버전의 Stable Diffusion보다 성능이 향상되었고, 이러한 black-box 최신 이미지 생성자와 경쟁력있는 결과를 달성했습니다.*
+
+## 팁


Suggested change
## 팁
## 팁[[tips]]
Just a small suggestion! Could we add internal English anchors like this? It'll help match our in-document ToC better. I noticed some documents have them, and some don't. Thanks! 🙂

Currently anchors are added only to paragraphs corresponding to the original document. I might consider adding this, but I'll skip it for now.

wonhyeongseo · 2023-08-30T01:08:24Z

+
+## Swift에서 Core ML 추론하기
+
+Running inference in Swift is slightly faster than in Python because the models are already compiled in the `mlmodelc` format. This is noticeable on app startup when the model is loaded but shouldn’t be noticeable if you run several generations afterward.


I think there might have been a slight oversight during the translation process. Would you mind taking a look at this section? Appreciate your help! 😊

wonhyeongseo · 2023-08-30T01:10:26Z

+Apple's [conversion and inference repo](https://github.com/apple/ml-stable-diffusion) and our own [swift-coreml-diffusers](https://github.com/huggingface/swift-coreml-diffusers) repos are intended as technology demonstrators to enable other developers to build upon. 
+
+If you feel strongly about any missing features, please feel free to open a feature request or, better yet, a contribution PR :)


Same here! These should be translated as well.

wonhyeongseo · 2023-08-30T01:31:08Z

+
+`--checkpointing_steps` 인수를 사용한 경우 학습 과정에서 저장된 전체 체크포인트 중 하나에서 추론을 수행할 수도 있습니다. 
+
+해야 할 일.


Suggested change
해야 할 일.
TODO.
Hey @stevhliu ! I noticed this section of the English doc might not be complete. Could you share your thoughts on the next steps? Thanks! 😊

You can remove the TODO text :)

wonhyeongseo · 2023-08-30T01:40:39Z

+
+이제 컨텍스트 관리자로 [`~accelerate.PartialState.split_between_processes`] 유틸리티를 사용하여 프로세스 수에 따라 프롬프트를 자동으로 분배합니다.
+
+Translated with www.DeepL.com/Translator (free version)


Suggested change
Translated with www.DeepL.com/Translator (free version)
It looks like this might have been added inadvertently. Could you kindly remove it? Thanks! 😺

wonhyeongseo · 2023-09-01T02:21:22Z

👍 LGTM. I'll 📝 update the docs with TOCs 📖 as we progress. All-in-all, great work 🎉 @Snailpong !

* Docs kr update 3 controlnet, reproducibility 업로드 generator 그대로 사용 seamless multi-GPU 그대로 사용 create_dataset 번역 1차 stable_diffusion_jax new translation Add coreml, tome kr docs minor fix translate training/instructpix2pix fix training/instructpix2pix.mdx using-diffusers/weighting_prompts 번역 1차 add SDXL docs Translate using-diffuers/loading_overview.md translate using-diffusers/textual_inversion_inference.md Conditional image generation (huggingface#37) * stable_diffusion_jax * index_update * index_update * condition_image_generation --------- Co-authored-by: Seongsu Park <tjdtnsu@gmail.com> jihwan/stable_diffusion.mdx custom_diffusion 작업 완료 quicktour 작업 완료 distributed inference & control brightness (huggingface#40) * distributed_inference.mdx * control_brightness --------- Co-authored-by: idra79haza <idra79haza@github.com> Co-authored-by: Seongsu Park <tjdtnsu@gmail.com> using_safetensors (huggingface#41) * distributed_inference.mdx * control_brightness * using_safetensors.mdx --------- Co-authored-by: idra79haza <idra79haza@github.com> Co-authored-by: Seongsu Park <tjdtnsu@gmail.com> delete safetensor short * Repace mdx to md * toctree update * Add controlling_generation * toctree fix * colab link, minor fix * docs name typo fix * frontmatter fix * translation fix

tjdtnsu added 4 commits August 20, 2023 14:27

Repace mdx to md
de10106

toctree update
97be78d

Add controlling_generation
1c10473

tjdtnsu marked this pull request as ready for review August 20, 2023 05:29

toctree fix
8aa31c8

stevhliu reviewed Aug 22, 2023
View reviewed changes

tjdtnsu added 2 commits August 27, 2023 21:44

colab link, minor fix
678ddff

Merge branch 'main' ofhttps://github.com/huggingface/diffusersinto …
e77ae01
…docs_kr_update

docs name typo fix
9a355cb

tjdtnsu force-pushed the docs_kr_update branch from 0dcdb78 to 9a355cbCompare August 28, 2023 11:30

frontmatter fix
7f5c393

tjdtnsu commented Aug 29, 2023
View reviewed changes

Comment threaddocs/source/ko/using-diffusers/reproducibility.md

stevhliu reviewed Aug 29, 2023
View reviewed changes

wonhyeongseo suggested changes Aug 30, 2023
View reviewed changes

translation fix
63c4d8d

stevhliu merged commit 0c77554 into huggingface:mainSep 1, 2023


		text-to-image의 latent diffusion 모델인 SDXL을 소개합니다. 이전 버전의 Stable Diffusion과 비교하면, SDXL은 세 배 더큰 규모의 UNet 백본을 포함합니다: 모델 파라미터의 증가는 많은 attention 블럭을 사용하고 더 큰 cross-attention context를 SDXL의 두 번째 텍스트 인코더에 사용하기 때문입니다. 다중 종횡비에 다수의 새로운 conditioning 방법을 구성했습니다. 또한 후에 수정하는 image-to-image 기술을 사용함으로써 SDXL에 의해 생성된 시각적 품질을 향상하기 위해 정제된 모델을 소개합니다. SDXL은 이전 버전의 Stable Diffusion보다 성능이 향상되었고, 이러한 black-box 최신 이미지 생성자와 경쟁력있는 결과를 달성했습니다.

		## 팁


		## Swift에서 Core ML 추론하기

		Running inference in Swift is slightly faster than in Python because the models are already compiled in the `mlmodelc` format. This is noticeable on app startup when the model is loaded but shouldn’t be noticeable if you run several generations afterward.

		Apple's [conversion and inference repo](https://github.com/apple/ml-stable-diffusion) and our own [swift-coreml-diffusers](https://github.com/huggingface/swift-coreml-diffusers) repos are intended as technology demonstrators to enable other developers to build upon.

		If you feel strongly about any missing features, please feel free to open a feature request or, better yet, a contribution PR :)


		`--checkpointing_steps` 인수를 사용한 경우 학습 과정에서 저장된 전체 체크포인트 중 하나에서 추론을 수행할 수도 있습니다.

		해야 할 일.


		이제 컨텍스트 관리자로 [`~accelerate.PartialState.split_between_processes`] 유틸리티를 사용하여 프로세스 수에 따라 프롬프트를 자동으로 분배합니다.

		Translated with www.DeepL.com/Translator (free version)

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