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LatestMicrosoft1.0
MicrosoftText → Image

Microsoft's Mage-Flow packs image editing into 4B

A compact model handles both text-to-image generation and instruction-based edits at native resolution, under a permissive MIT license.

Jul 21, 2026
NotableMIT
Mage-Flow

Microsoft has released Mage-Flow, a compact 4-billion-parameter model that handles both text-to-image generation and instruction-based image editing. Notably, it operates at native resolution and ships under a permissive MIT license.

The pairing of generation and editing in a single model is the headline feature. Rather than treating image creation and modification as separate tasks requiring separate tools, Mage-Flow aims to do both, following natural-language instructions to adjust an existing image or produce one from scratch.

Why it matters

Size is the story here. At 4B parameters, Mage-Flow is small enough to run on more modest hardware than the sprawling diffusion systems that have dominated the space, which matters for developers who want local, self-hosted image tools without cloud dependencies.

  • Dual capability: text-to-image plus instruction-based editing
  • Native-resolution output
  • MIT license, allowing commercial use and modification

The release is a first version for the family, with technical details outlined in the accompanying paper. Whether Mage-Flow's compact footprint translates into competitive quality against larger open models will become clearer as the community puts it to work.

Sources

  • microsoft/Mage-Flow

    Hugging Face

    Visit
OlderNanbeige 4.2 arrives as a compact 3B bilingual modelNanbeige · Text / LLM · 3 months agoNewerUpstage's Solar Open2 arrives as a 250B MoE modelUpstage · Text / LLM · 3 months ago

Get the model

Hugging Face

Specs

Parameters4B
Size8.2 GB
PrecisionBF16
ArchitectureMageFlowPipeline
LicenseMIT
Downloads2K
Likes408

Can you run it?

Runs on a laptop — about 5.1 GB at FP8.

  • BF16 (as published)

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    9.2 GB
  • FP8

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    5.1 GB
Your machine
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → ImageImage Editing

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