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# NucleusMoE-Image

[NucleusMoE-Image](https://huggingface.co/NucleusAI/NucleusMoE-Image) is a text-to-image model that pairs a single-stream DiT with Mixture-of-Experts feed-forward layers, cross-attention to a Qwen3-VL text encoder, and a flow-matching Euler discrete scheduler.

> [!TIP]
> Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers) to learn how to explore the tradeoff between scheduler speed and quality, and see the [reuse components across pipelines](../../using-diffusers/loading#reuse-a-pipeline) section to learn how to efficiently load the same components into multiple pipelines.

## NucleusMoEImagePipeline

[[autodoc]] NucleusMoEImagePipeline
  - all
  - __call__

## NucleusMoEImagePipelineOutput

[[autodoc]] pipelines.nucleusmoe_image.pipeline_output.NucleusMoEImagePipelineOutput