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added accelerator based gradient accumulation for basic_example
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

added line allowing gradient accumulation to work for basic_training example

sampling bug fix in basic_training.md

In the diffusers basic training tutorial, setting the manual seed argument (generator=torch.manual_seed(config.seed)) in the pipeline call inside evaluate() function rewinds the dataloader shuffling, leading to overfitting due to the model seeing same sequence of training examples after every evaluation call. Using generator=torch.Generator(device='cpu').manual_seed(config.seed) avoids this.

change to 2024

* Revert "[`Docs`] Update and make improvements (#5819)"

This reverts commit c697f524.

* Update README.md

* Update memory.md

* Update basic_training.md

* Update write_own_pipeline.md

* Update fp16.md

* Update basic_training.md

* Update write_own_pipeline.md

* Update write_own_pipeline.md

Update and make improvements

* Fix typos, improve, update

* Update autopipeline.md

* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* fix: create_repo()

* Empty-Commit

* update training examples to use HFAPI.

* update training example.

* reflect the changes in the korean version too.

* Empty-Commit

* add: utility for image grid.

* add: return type.

* change necessary places.

* add to utility page.

* why mdx?

* why mdx?

* why mdx?

* no x for kandinksy either

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

fix/doc-code: update to use the new parameter
Signed-off-by: GitHub <noreply@github.com>

fix colab notebook cells

update the broken links

update the broken links for training folder doc

* [Config] Fix config prints and save, load

* Only use potential nn.Modules for dtype and device

* Correct vae image processor

* make sure in_channels is not accessed directly

* make sure in channels is only accessed via config

* Make sure schedulers only access config attributes

* Make sure to access config in SAG

* Fix vae processor and make style

* add tests

* uP

* make style

* Fix more naming issues

* Final fix with vae config

* change more

Add 'import os'

* first draft

* ✨ minor edits

* ✨ minor fixes

* 🖍 apply feedbacks

* 🖍 apply feedback and minor edits