[i8n-ja] Translating docs to Japanese

[YasunaCoffee]

Hi! I'm Yasuna🤗

Let's bring the documentation to all the Japanese-speaking community 🌐.

Who would want to translate? Please follow the 🤗 TRANSLATING guide. Here is a list of the files ready for translation. Let us know in this issue if you'd like to translate any, and we'll add your name to the list.

Some notes:

• Please translate using an informal tone (imagine you are talking with a friend about Diffusers 🤗).

• Please translate in a gender-neutral way.

• Add your translations to the folder called <languageCode> inside the source folder.

• Register your translation in <languageCode>/_toctree.yml; please follow the order of the English version.

• Once you're finished, open a pull request and tag this issue by including #issue-number in the description, where issue-number is the number of this issue. Please ping @stevhliu for review.

• 🙋 If you'd like others to help you with the translation, you can also post in the 🤗 forums.

• Please write here the name of the md file from the following items you'd like to start to be translated.
  (ex. I'd like to start translating TECHNIQUES section/reusing_seeds.md from now!)

Pull Request Format

Related to #[issue's no.]

What is this PR about ?

I translated the following files to implified Japanese:

toctree.yml
index.md
installation.md
quick-start.md
git_vs_http.md
repository.md

What should you check ?

Grammar and orthograph
If my pull requests follows GitHub/open source contribution good practices (I am a beginner)

Thank you so much for your help! 🤗

GET STARTED section

• index.md @YasunaCoffee
• installation.md
• quicktour.md
• stable_diffusion.md

TUTORIALS section

• autopipeline.md @YasunaCoffee
• basic_training.md @YasunaCoffee
• fast_diffusion.md @YasunaCoffee
• tutorial_overview.md @YasunaCoffee
• using_peft_for_inference.md @YasunaCoffee

USING-DIFFUSERS section

LOADING&HUB section

• loading_overview.md @Prgckwb
• loading.md @Prgckwb
• schedulers.md @Prgckwb
• custom_pipeline_overview.md @Prgckwb
• using_safetensors.md @Prgckwb
• other-formats.md @Prgckwb
• loading_adapters.md @Prgckwb
• push_to_hub.md @Prgckwb

TASKS section

• pipeline_overview.md
• unconditional_image_generation.md
• conditional_image_generation.md
• img2img.md
• inpaint.md
• depth2img.md

TECHNIQUES section

• textual_inversion_inference.md
• reusing_seeds.md
• control_brightness.md
• weighted_prompts.md
• freeu.md

USING DIFFUSERS (SPECIFIC PIPELINE EXAMPLES) section

• sdxl.md Stable Diffusion XL
• sdxl_turbo.md SDXL Turbo
• kandinsky.md Kandinsky
• controlnet.md ControlNet
• shap-e.md Shap-E
• diffedit.md DiffEdit
• distilled_sd.md Distilled Stable Diffusion inference
• callback.md Pipeline callbacks
• reproducibility.md Create reproducible pipelines
• custom_pipeline_examples.md Community pipelines
• contribute_pipeline.md Contribute a community pipeline
• inference_with_lcm_lora.md Latent Consistency Model-LoRA
• inference_with_lcm.md Latent Consistency Model
• svd.md Stable Video Diffusion

TRAINING section

• overview.md Overview
• create_dataset.md Create a dataset for training
• adapt_a_model.mdAdapt a model to a new task

MODELS

• unconditional_training.mdUnconditional image generation
• text2image.mdText-to-image
• sdxl.mdStable Diffusion XL
• kandinsky.mdKandinsky 2.2
• wuerstchenWuerstchen
• controlnet.mdControlNet
• t2i_adapters.mdT2I-Adapters
• instructpix2pix.mdInstructPix2Pix

METHODS

• text_inversion.mdTextual Inversion
• dreambooth.mdDreamBooth
• lora.mdLoRA
• custom_diffusion.mdCustom Diffusion
• lcm_distill.mdLatent Consistency Distillation
• ddpo.mdReinforcement learning training with DDPO

TAKING DIFFUSERS BEYOND IMAGES

• using-diffusers/other-modalities.md Other Modalities

OPTIMIZATION section

• opt_overview.mdOverview

GENERAL OPTIMIZATIONS

• fp16.mdSpeed up inference
• memory.mdReduce memory usage
• torch2.0.mdPyTorch 2.0
• xformers.mdxFormers
• tome.mdToken merging

OPTIMIZED MODEL TYPES

• stable_diffusion_jax_how_to.md JAX/Flax
• onnx.mdONNX
• open_vino.mdOpenVINO
• coreml.mdCore ML

OPTIMIZED HARDWARE

• mps.mdMetal Performance Shaders (MPS)
• habana.mdHabana Gaudi

CONCEPTUAL GUIDES

• conceptual/philosophy.mdPhilosophy
• using-diffusers/controlling_generation.mdControlled generation
• conceptual/contribution.mdHow to contribute?
• conceptual/ethical_guidelines.mdDiffusers' Ethical Guidelines
• conceptual/evaluation.mdEvaluating Diffusion Models

[YasunaCoffee]

Hello, friends!
Now, I'm going to write a TUTORIALS section.

[sayakpaul]

CC: @stevhliu

[stevhliu]

Thanks for continuing the efforts to translate the docs to Japanese! 🎉

To make it easier for contributors to see what has been translated already and what still needs to be translated, can you edit and update your issue to look like this one here?

[Prgckwb]

Hello, everydiffuser 🤗

I'll try to translate LOADING&HUB section from now!

[Prgckwb]

I have finished translating:

• docs/source/ja/using-diffusers/loading_overview.md
• docs/source/ja/using-diffusers/loading.md

Next, I will tackle:

• docs/source/ja/using-diffusers/schedulers.md
• docs/source/ja/using-diffusers/custom_pipeline_overview.md
• docs/source/ja/using-diffusers/using_safetensors.md

[github-actions]

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