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Bump the pip group across 3 directories with 2 updates - #2

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Bump the pip group across 3 directories with 2 updates#2
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Bumps the pip group with 1 update in the /sagemaker/22_accelerate_sagemaker_examples/src/seq2seq directory: transformers.
Bumps the pip group with 2 updates in the /sagemaker/23_stable_diffusion_inference/code directory: transformers and diffusers.
Bumps the pip group with 1 update in the /sagemaker/24_train_bloom_peft_lora/scripts directory: transformers.

Updates transformers from 4.22.1 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

... (truncated)

Commits

Updates transformers from 4.23.1 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

... (truncated)

Commits

Updates diffusers from 0.6.0 to 0.38.0

Release notes

Sourced from diffusers's releases.

Diffusers 0.38.0: New image and audio pipelines, Core library improvements, and more

New Pipelines

LLaDA2

LLaDA2聽is a family of discrete diffusion language models that generate text through block-wise iterative refinement. Instead of autoregressive token-by-token generation, LLaDA2 starts with a fully masked sequence and progressively unmasks tokens by confidence over multiple refinement steps.

Nucleus-MoE

NucleusMoE-Image is a 2B active 17B parameter model trained with efficiency at its core. Our novel architecture highlights the scalability of a sparse MoE architecture for Image generation.

Thanks to @鈥媠ippycoder for the contribution.

Ernie-Image

ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.

Thanks to @鈥婬siaWinter for the contribution.

LongCat-AudioDiT

LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.

Thanks to @鈥婻uixiangMa for the contribution.

Ace-Step 1.5

ACE-Step 1.5 generates variable-length stereo audio at 48 kHz (10 seconds to 10 minutes) from text prompts and optional lyrics. The full system pairs a Language Model planner with a Diffusion Transformer (DiT) synthesizer; this pipeline wraps the DiT half of that stack, and consists of three components: an聽AutoencoderOobleck聽VAE that compresses waveforms into 25 Hz stereo latents, a Qwen3-based text encoder for prompt and lyric conditioning, and an聽AceStepTransformer1DModel聽DiT that operates in the VAE latent space using flow matching.

Thanks to @ChuxiJ for the contribution.

Flux.2 Small Decoder

Make your Flux.2 decoding faster with this new small decoder model from the Black Forest Labs. You can check it out here. It was contributed by @鈥媓uemin-art in this PR.

... (truncated)

Commits
  • 275869d Release: v0.38.0-release
  • 42a46e4 Fix missing latents_bn_std dtype cast in VAE normalization (#13299)
  • 1a8a17b Add ACE-Step pipeline for text-to-music generation (#13095)
  • 303c1d8 [Ernie-Image] Add lora support (#13575)
  • 716f246 Fix UniPC scheduler device mismatch when using offloading (#13489)
  • a5bc046 NucleusMoE docs (#13661)
  • 4744648 [ci] use tokenizers stable installtion in CI. (#13562)
  • 50cb2db feat: support ring attention with arbitrary KV sequence lengths (#13545)
  • 0fff459 Fix ErnieImagePipeline pre-computed prompt_embeds + num_images_per_prompt sha...
  • 2173c55 [docs] fix typo in AutoencoderOobleck docs (#13642) (#13645)
  • Additional commits viewable in compare view

Updates transformers from 4.27.1 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

... (truncated)

Commits

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@dependabot
Bump the pip group across 3 directories with 2 updates
c81b32b 
Bumps the pip group with 1 update in the /sagemaker/22_accelerate_sagemaker_examples/src/seq2seq directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /sagemaker/23_stable_diffusion_inference/code directory: [transformers](https://github.com/huggingface/transformers) and [diffusers](https://github.com/huggingface/diffusers).
Bumps the pip group with 1 update in the /sagemaker/24_train_bloom_peft_lora/scripts directory: [transformers](https://github.com/huggingface/transformers).


Updates `transformers` from 4.22.1 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.22.1...v5.0.0rc3)

Updates `transformers` from 4.23.1 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.22.1...v5.0.0rc3)

Updates `diffusers` from 0.6.0 to 0.38.0
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.6.0...v0.38.0)

Updates `transformers` from 4.27.1 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.22.1...v5.0.0rc3)

---
updated-dependencies:
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: diffusers
  dependency-version: 0.38.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels May 20, 2026
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