diffusers 0.42.0

Diffusers 0.42.0: FLUX.3, Fibo 2.0, Kandinsky 6, and more

on Python PyPI

FLUX.3 Image Klein

FLUX.3 Image Klein from Black Forest Labs supports text-to-image generation and editing with one or more reference images. Both the base and step-distilled checkpoints are available through ModularPipeline, with an integrated prompt upsampler that turns short requests into detailed captions and supports layout instructions with bounding boxes. The integration also includes single-file transformer loading and BFL FP8r and NVFP4 checkpoints.

Load the pipeline with ModularPipeline.from_pretrained(...), then load its weights with load_components(...). See the FLUX.3 documentation for examples and guidance on prompt upsampling, editing, and memory use.

Bria Fibo 2.0

Bria Fibo 2.0 supports image generation from structured JSON captions and editing with up to five reference images through BriaFibo2Pipeline. The integration includes the dev checkpoint and the edit-turbo checkpoint, which runs in four steps without classifier-free guidance. See the Fibo 2.0 documentation for the supported prompt formats.

LoRA loading and DreamBooth LoRA training examples are included for text-to-image and image editing. Thanks to @muhammadali-afridi for the model integration (#14991).

Kandinsky 6

Kandinsky 6 generates video with synchronized audio from text or a reference image through Kandinsky6TI2VAPipeline. A separate Kandinsky6SRPipeline provides video super-resolution. The integration supports Pro and Lite generation checkpoints, including distilled variants, and introduces PiflowScheduler for the distilled models. See the Kandinsky 6 documentation for checkpoint-specific settings and super-resolution requirements. Thanks to @Lefff for the model integration (#14949).

SANA-WM

SANA-WM generates video from a starting image, a text prompt, and a camera trajectory. Control the camera with explicit poses or a WASD/IJKL action string, then optionally refine the output with the separate LTX-2 refiner. See the SANA-WM documentation for the two-stage workflow.

Thanks to @lawrence-cj for the integration (#13881).

RFD4-Proteína

RFD4-Proteína from the Baker Lab and NVIDIA brings biomolecular design to Diffusers. It jointly generates protein sequences and all-atom structures while conditioning on molecular context such as binding targets, motifs, or ligands. The integration includes the pipeline, transformer, autoencoder, schedulers, and LoRA loading. Preparing model inputs and writing CIF files uses the separate rfd4-proteina-prep package; see the RFD4-Proteína documentation.

Thanks to @kierandidi for the integration (#15088).

Other highlights

• Qwen-Image 2.1: new modular pipelines and tensor parallelism support. (#14976, #14865)
• More hardware support: TorchTPU integration covers eager execution, torch.compile, and tensor parallelism. Tensor parallelism also gains Intel XPU support. (#14039, #15013)
• LoKr adapters: load LyCORIS Kronecker-product adapters for Z-Image and FLUX.2, including Klein. (#14163)
• LTX-2 motion control: motion_speed controls the positional time base independently of playback frame rate. Use a compatible adapter for speeds far from the default, such as the LTX-2.5 slow-motion control LoRA. (#14967)
• KVAE-Audio: AutoencoderKLKVAEAudio adds encoding and decoding for 48 kHz audio. (#14384)
• Caching: MagCache now supports FLUX.2. (#14756)
• Adapter fixes: Z-Image honors the LoRA scale in joint_attention_kwargs, Qwen-Image applies .alpha scaling to lora_A/lora_B checkpoints, and text encoders correctly report active adapters. (#15015, #15016, #14961)
• Pipeline fixes: preserve explicit timesteps in FlowMatchEulerDiscreteScheduler, fix Anima text encoder exports and standalone core denoising, and preserve the three-value return from InpaintProcessor.preprocess when no mask is supplied. (#14956, #14943, #14481)

Deprecations and compatibility

• Python 3.10 support is dropped. Upgrade to Python 3.11 or newer before installing this release. (#15030)
• Modular latent outputs: FLUX, Krea 2, and LTX-Video now unpack latents in their core denoise groups. Custom workflows should pass unpacked latents to their decode blocks. The fallback for packed latents is deprecated for removal in 0.47.0. (#14737)
• Hub compatibility: the supported huggingface_hub range is now >=1.32.0,<3.0. (#14863)
• TorchAO imports: having a TorchAO version older than 0.15 installed no longer breaks model imports. TorchAO quantization still requires version 0.15 or newer. (#15095)

Thanks to everyone who contributed to this release!

All commits

• fix #14461 by @yiyixuxu in #14956
• Kandinsky6 by @sayakpaul in #14949
• Bump doc-builder workflow pin by @paulinebm in #14957
• [docs] Jobs guide by @stevhliu in #14926
• [docs] Community methods by @stevhliu in #14973
• Fix active adapter detection for text encoders by @Subodh-17 in #14961
• fix(image_processor): maintain 3-tuple return contract in InpaintProcessor.preprocess when mask is None by @patrickswedish in #14481
• [ci] consolidate labeling on PRs. by @sayakpaul in #14911
• [LoRA] add LoKr adapter support (Z-Image, Flux2/Klein) by @christopher5106 in #14163
• [TPU] TorchTPU backend integration - eager / torch.compile / tp by @JingyaHuang in #14039
• [cli] detect composite block classes in custom_blocks by @yiyixuxu in #15001
• Fix Anima text encoder exports and standalone core denoising by @lucasruan1618 in #14943
• Bump huggingface_hub upper bound to <3.0 (diffusers) by @Wauplin in #14863
• Make Stable Diffusion device-map comparisons deterministic by @sywangyi in #15010
• xpu supports TP as well by @sywangyi in #15013
• Add SANA-WM camera-controlled image-to-video pipeline by @lawrence-cj in #13881
• [Z-Image] Apply the LoRA scale passed via joint_attention_kwargs by @Sergasgr in #15015
• [utils] preserve method metadata in apply_forward_hook by @javierdejesusda in #13803
• Update FlashAttention Hub integration and guard CUDA-only tests by @sywangyi in #15024
• [hooks] Support Flux2 in MagCache by @rootonchair in #14756
• 🔒 Pin GitHub Actions to commit SHAs by @paulinebm in #15028
• [CI] Clean up test_modeling_common.py by @DN6 in #14988
• ci: move to python 3.11. by @sayakpaul in #15030
• [core] Tensor parallelism for Qwen-Image-2.1 by @JingyaHuang in #14865
• refactor: drop the Neuron RoPE path in Qwen Image by @JingyaHuang in #15042
• add modular pipeline for qwen-image 2.1 by @akshan-main in #14976
• Flux3 image by @sayakpaul in #15046
• [docs] FLUX.3: prompt upsampler required, ours or any LLM by @stephen37 in #15059
• FLUX.3 prompt upsampler block by @yiyixuxu in #15058
• [docs] FLUX.3: modular-only notes, lazy loading, callbacks by @yiyixuxu in #15069
• FLUX.3: match the released BFL reference image sizing by @yiyixuxu in #15073
• post-release 0.41.0 by @sayakpaul in #15062
• move unpack out of the flux, krea2 and ltx decoders into the core denoise groups by @akshan-main in #14737
• [feat] add KVAE-Audio autoencoder by @ivnvalex in #14384
• Fix PyArrow compatibility in CPU CI by @sayakpaul in #15082
• Add Bria fibo-2 by @muhammadali-afridi in #14991
• Add RFD4-Proteina by @kierandidi in #15088
• [tests] xfail some kandinsky6 tests by @sayakpaul in #14977
• Fix model imports when torchao is older than 0.15 by @usmanmateen in #15095
• [ci] use python 3.11 when using metadata. by @sayakpaul in #15093
• [ci] fix misnamed test steps in push_tests.yml by @sayakpaul in #15094
• [LTX-2] Add motion_speed to condition the positional time base apart from the playback frame rate by @christopher5106 in #14967
• [ci] skip bf16 precision test on T4. by @sayakpaul in #15091
• Use HF Trusted Publisher token in update_metadata workflow by @coyotte508 in #15096
• [LoRA] apply .alpha to Qwen-Image lora_A/lora_B LoRAs by @dcaayushd in #15016
• [ci] fix compilation CI. by @sayakpaul in #15092
• add fibo-2 LoRA training and loading by @linoytsaban in #15084
• Release: v0.42.0-release by @sayakpaul (direct release commit)

Significant community contributions

The following contributors added models and capabilities in this release:

• @muhammadali-afridi: Bria Fibo 2.0 integration. (#14991)
• @lawrence-cj: SANA-WM camera-controlled video generation and refinement. (#13881)
• @kierandidi: RFD4-Proteína biomolecular design integration. (#15088)
• @ivnvalex: KVAE-Audio autoencoder. (#14384)
• @christopher5106: LoKr adapter support and LTX-2 motion-speed control. (#14163, #14967)
• @akshan-main: Qwen-Image 2.1 modular pipelines and consistent unpacked latent outputs for modular denoise groups. (#14976, #14737)
• @sywangyi: Intel XPU tensor parallelism, FlashAttention Hub integration updates, and deterministic device-map tests. (#15013, #15024, #15010)
• @rootonchair: MagCache support for FLUX.2. (#14756)

Full changelog: v0.41.0 to the v0.42.0 release commit