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* Initial draft of Core ML docs.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Fix Core ML spelling

* Apply the rest of suggestions.

* Attempt to fix hyperlink inside Tip.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Apply suggestions from code review

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

`encoder_hid_dim` provides an additional projection for the input `encoder_hidden_states` from `encoder_hidden_dim` to `cross_attention_dim`

dynamic threshold sampling bug fix and docs

* add wandb team and min-snr loss

* make style

* apply feedbacks

Fix dummy community pipeline

* docs: link navigation Safe Stable Diffusion

Link navigation API pipelines text2img and using diffusers Conditional Image Generation.

* docs: link navigation Versatile Diffusion

Removing exceeding path Stable Diffusion Overview.

* docs: Python extension Spectrogram Diffusion

Link navigation Spectrogram Diffusion Pipeline source code

* docs: Link navigation AltDiffusion Pipelines

Stable Diffusion Overview and Using Diffusers path.

As pointed out by @Birch-san: https://github.com/huggingface/diffusers/pull/2634#issuecomment-1496517210

* fix the error when push_to_hub but not log validation

* contronet_from_pt & controlnet_revision

* add intermediate checkpointing to the guide

Co-authored-by: wangguan <dizhipeng.dzp@alibaba-inc.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* improve stable unclip doc.

* feat: support for applying min-snr weighting for faster convergence.

* add: support for validation logging with wandb

* make  not a required arg.

* fix: arg name.

* fix: cli args.

* fix: tracker config.

* fix: loss calculation.

* fix: validation logging.

* fix: unwrap call.

* fix: validation logging.

* fix: internval.

* fix: checkpointing push to hub.

* fix: https://github.com/huggingface/diffusers/commit/c8a2856c6d5e45577bf4c24dee06b1a4a2f5c050\#commitcomment-106913193



* fix: norm group test for UNet3D.

* address PR comments.

* remove unneeded code.

* add: entry in the readme and docs.

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

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Co-authored-by: Suraj Patil <surajp815@gmail.com>

Update the K-Diffusion SD pipeline, to allow calling it with only prompt_embeds (instead of always requiring a prompt) (#2962)

* [2905]: Add Karras pattern to discrete euler

* [2905]: Add Karras pattern to discrete euler

* Review comments

* Review comments

* Review comments

* Review comments

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Co-authored-by: njindal <njindal@adobe.com>

* [Pipeline download] Improve pipeline download for index and passed components

* correct

* add more tests

* up

* load_from_disk + checkpointing_steps

* apply feedback

* simplify loading guide

* apply feedbacks

* clarify variants

* clarify torch_dtype and variant

* remove conceptual pipeline doc

Co-authored-by: yiyixuxu <yixu310@gmail,com>

use custom local datset
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

use upload folder in training scripts
Co-authored-by: testbot <lucainp@hf.co>

* ensure validation image RGB not RGBA

* ensure validation image RGB not RGBA

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

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