Bump diffusers from 0.17.1 to 0.38.0 in /doc/source/templates/testing/docker/03_serving_stable_diffusion

[dependabot]

Bumps diffusers from 0.17.1 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 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.

• PR: huggingface/diffusers#13226
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/llada2

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.

• PR: huggingface/diffusers#13317
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/nucleusmoe_image

Thanks to @​sippycoder for the contribution.

Ernie-Image

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

• PR: huggingface/diffusers#13432
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/ernie_image

Thanks to @​HsiaWinter for the contribution.

LongCat-AudioDiT

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

• PR: huggingface/diffusers#13483
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/longcat_audio_dit

Thanks to @​RuixiangMa 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 AutoencoderOobleck VAE that compresses waveforms into 25 Hz stereo latents, a Qwen3-based text encoder for prompt and lyric conditioning, and an AceStepTransformer1DModel DiT that operates in the VAE latent space using flow matching.

• PR: huggingface/diffusers#13095
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/ace_step

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 @​huemin-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

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