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LatestXiaomi1.1
XiaomiImage Editing

Xiaomi Releases Bilingual Image Editing Model FireRed 1.1

The new open-source model from Xiaomi's FireRedTeam leverages the Qwen-Image-Edit pipeline to offer instruction-based image editing in both English and Chinese.

Mar 2, 2026
NotableApache 2.0
FireRed Image Edit 1.1

Xiaomi's open-source AI division, FireRedTeam, has released FireRed Image Edit 1.1, a new model for instruction-based image editing. Published under a permissive Apache 2.0 license, the model is designed to modify images based on natural language commands in both English and Chinese.

Based on the Qwen Pipeline

The new model builds upon the Qwen-Image-Edit pipeline, a framework developed by Alibaba's Qwen team. This architecture uses a Large Vision Language Model (LVLM) to interpret user instructions and apply precise edits to an image, such as changing object colors, altering styles, or removing elements from a scene.

FireRed Image Edit 1.1 adds another capable tool to the growing ecosystem of open-source generative models. Its bilingual support makes it accessible to a broader global user base, and the commercial-friendly license encourages its adoption in various applications. The release, available from the team's Hugging Face repository, signals Xiaomi's continued investment in contributing to the open AI community.

Sources

  • FireRedTeam/FireRed-Image-Edit-1.1

    Hugging Face

    Visit
OlderAlibaba's Qwen Releases Compact 0.8B Vision ModelQwen · Alibaba · Vision-Language · 8 months agoNewerGoogle's Gemma 4 Debuts with Any-to-Any MultimodalityGoogle DeepMind · Any-to-Any · 8 months ago

Get the model

Hugging Face

Specs

Size40.9 GB
PrecisionBF16
ArchitectureQwenImageEditPlusPipeline
LicenseAPACHE-2.0
Downloads4.2K
Likes299

Can you run it?

Runs on a 24 GB GPU at FP8.

  • BF16 (as published)

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    41.9 GB
  • FP8

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    21.4 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

Image Editing

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