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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src - #119

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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src#119
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Bumps diffusers from 0.27.2 to 0.38.0.

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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.

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 @​sippycoder for the contribution.

Ernie-Image

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

Thanks to @​HsiaWinter for the contribution.

LongCat-AudioDiT

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

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.

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)

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Bump diffusers in /genai/image/stable_diffusion/src
8920b1e
Bumps [diffusers](https://github.com/huggingface/diffusers) from 0.27.2 to 0.38.0.
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.27.2...v0.38.0)
---
updated-dependencies:
- dependency-name: diffusers
dependency-version: 0.38.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src by dependabot[bot] · Pull Request #119 · googleforgames/GenAI-quickstart · GitHub
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src - #119
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Bumps diffusers from 0.27.2 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.
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 @​sippycoder for the contribution.
Ernie-Image
ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.
Thanks to @​HsiaWinter for the contribution.
LongCat-AudioDiT
LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.
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.
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

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Bump diffusers in /genai/image/stable_diffusion/src
8920b1e
Bumps [diffusers](https://github.com/huggingface/diffusers) from 0.27.2 to 0.38.0.
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.27.2...v0.38.0)
---
updated-dependencies:
- dependency-name: diffusers
dependency-version: 0.38.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src by dependabot[bot] · Pull Request #119 · googleforgames/GenAI-quickstart · GitHub
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src - #119
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src#119
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Bumps diffusers from 0.27.2 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.
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 @​sippycoder for the contribution.
Ernie-Image
ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.
Thanks to @​HsiaWinter for the contribution.
LongCat-AudioDiT
LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.
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.
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

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Bump diffusers in /genai/image/stable_diffusion/src
8920b1e
Bumps [diffusers](https://github.com/huggingface/diffusers) from 0.27.2 to 0.38.0.
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.27.2...v0.38.0)
---
updated-dependencies:
- dependency-name: diffusers
dependency-version: 0.38.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src by dependabot[bot] · Pull Request #119 · googleforgames/GenAI-quickstart · GitHub
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src - #119
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src#119
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Bumps diffusers from 0.27.2 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.
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 @​sippycoder for the contribution.
Ernie-Image
ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.
Thanks to @​HsiaWinter for the contribution.
LongCat-AudioDiT
LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.
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.
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

Dependabot compatibility score
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Bump diffusers in /genai/image/stable_diffusion/src
8920b1e
Bumps [diffusers](https://github.com/huggingface/diffusers) from 0.27.2 to 0.38.0.
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.27.2...v0.38.0)
---
updated-dependencies:
- dependency-name: diffusers
dependency-version: 0.38.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
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var __m = "youtube.com";
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src by dependabot[bot] · Pull Request #119 · googleforgames/GenAI-quickstart · GitHub
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src - #119
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src#119
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Bumps diffusers from 0.27.2 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.
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 @​sippycoder for the contribution.
Ernie-Image
ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.
Thanks to @​HsiaWinter for the contribution.
LongCat-AudioDiT
LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.
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.
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)
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Bump diffusers in /genai/image/stable_diffusion/src
8920b1e
Bumps [diffusers](https://github.com/huggingface/diffusers) from 0.27.2 to 0.38.0.
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.27.2...v0.38.0)
---
updated-dependencies:
- dependency-name: diffusers
dependency-version: 0.38.0
dependency-type: direct:production
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, 'i');
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src by dependabot[bot] · Pull Request #119 · googleforgames/GenAI-quickstart · GitHub
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src - #119
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src#119
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Bumps diffusers from 0.27.2 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.
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 @​sippycoder for the contribution.
Ernie-Image
ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.
Thanks to @​HsiaWinter for the contribution.
LongCat-AudioDiT
LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.
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.
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

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Bump diffusers in /genai/image/stable_diffusion/src
8920b1e
Bumps [diffusers](https://github.com/huggingface/diffusers) from 0.27.2 to 0.38.0.
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.27.2...v0.38.0)
---
updated-dependencies:
- dependency-name: diffusers
dependency-version: 0.38.0
dependency-type: direct:production
...
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, 'i');
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function unstick() {
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src by dependabot[bot] · Pull Request #119 · googleforgames/GenAI-quickstart · GitHub
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src - #119
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src#119
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Bumps diffusers from 0.27.2 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.
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 @​sippycoder for the contribution.
Ernie-Image
ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.
Thanks to @​HsiaWinter for the contribution.
LongCat-AudioDiT
LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.
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.
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

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Bump diffusers in /genai/image/stable_diffusion/src
8920b1e
Bumps [diffusers](https://github.com/huggingface/diffusers) from 0.27.2 to 0.38.0.
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.27.2...v0.38.0)
---
updated-dependencies:
- dependency-name: diffusers
dependency-version: 0.38.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
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[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
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pre code, pre code * {
filter: none !important;
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/* Fix common UI elements */
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background: #2d2d44 !important;
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/* Scrollbars */
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::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
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::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
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})();
})();
Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src by dependabot[bot] · Pull Request #119 · googleforgames/GenAI-quickstart · GitHub
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src - #119
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Bump diffusers from 0.27.2 to 0.38.0 in /genai/image/stable_diffusion/src#119
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Bumps diffusers from 0.27.2 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.
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 @​sippycoder for the contribution.
Ernie-Image
ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.
Thanks to @​HsiaWinter for the contribution.
LongCat-AudioDiT
LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.
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.
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

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@dependabot
Bump diffusers in /genai/image/stable_diffusion/src
8920b1e
Bumps [diffusers](https://github.com/huggingface/diffusers) from 0.27.2 to 0.38.0.
- [Release notes](https://github.com/huggingface/diffusers/releases)
- [Commits](huggingface/diffusers@v0.27.2...v0.38.0)
---
updated-dependencies:
- dependency-name: diffusers
dependency-version: 0.38.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
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