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NucleusMoE-Image

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 to learn how to explore the tradeoff between scheduler speed and quality, and see the reuse components across pipelines 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