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    Qwen Image 2.1 INT8/INT4 - INT4 (W4A8)
    NSFW
    Preview 143323248

    Qwen Image 2.1 7B INT8 and INT4 (W4A8) ConvRot Quantizations, for use in ComfyUI

    Qwen-Image-2.1

    Qwen-Image-2.1, A unified text-to-image generation and image editing model in the Qwen family. With just 7B parameters in its visual generation component (32 Single-Stream DiT layers), Qwen-Image-2.1 balances generation quality, inference efficiency, and versatility.


    Highlights

    • Efficient Image Generation: Qwen-Image-2.1 combines strong visual performance with fast inference and a compact design, making high-quality image creation accessible across a wide range of creative workflows.

    • Flexible Creative Control: With support for diverse inputs, outputs, and localized edits, Qwen-Image-2.1 gives creators the flexibility to explore ideas and refine details within a unified workflow.

    Four key improvements define this release:

    • Compact and Efficient — A lightweight architecture with mixed-granularity attention and prefix KV cache reuse delivers strong image quality at low computational cost.

    • Native Transparency, Unified Creation and Editing — Generate regular or transparent (RGBA) images from text, edit transparent layers, and extract subjects from photographs—all in one model.

    • Versatile Editing — Support up to 10 reference images, specify local edits via circles, painted annotations, or separate masks, and preserve identity for people and products.

    • Realistic Textures and Refined Aesthetics — Improved typography, portrait lighting, and fine details for more visually compelling results.

    Description

    FAQ

    Comments (12)

    brahianvallesSep 20, 2026· 3 reactions
    CivitAI

    damn Qwen has this lifeless ai vibe aesthetic in most images

    tsolful
    Author
    Sep 20, 2026

    Yeah, it seems like it, LoRAs are definitely needed for T2I. The edit capabilities are a bit more interesting.

    brahianvallesSep 20, 2026

    @tsolful yeah loras can fix this without problem however artifacts are very difficult to fix. This image has that

    ikekph5Sep 20, 2026· 1 reaction

    As long as it's open sourced, trainable, and the base knowledge and quality is ok,

    all you need is to trust the community.

    tsolful
    Author
    Sep 20, 2026

    @ikekph5 I trust the community 100%, I'll probably train a new fantasy realism refiner when AItoolkit supports. Non-commercial licensing tho :/ https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE

    ikekph5Sep 21, 2026

    @tsolful the license is ... unfortunate ... Why just follows other qwen model like qwen3.8 with a revenue cap. Qwen image 2.1 is an old model to them anyways.

    edit: GPT tells me because they don't care about the old model. But the model doesn't seem to have safety filter and is too good at nsfw so they probably want the "research or evaluation purposes only" shield for lawsuits...interesting thoughts

    KinkReaperSep 20, 2026
    CivitAI

    It's really poor in comparison of Krea 2. I hope the editing features are better. Thanks for the INT8 anyway.

    brahianvallesSep 20, 2026

    the license kills this model

    bakaboy1234Sep 20, 2026
    CivitAI

    cant wait for the Loras, its actually good

    jbsbiomeSep 21, 2026
    CivitAI

    still seeing the old halftone thing going on in image edit, so they didn't fix that in their new vae, lol

    wingbrotherSep 21, 2026
    CivitAI

    very light NSFW test showing that fine‑tuning is certainly needed, but even the bare knowledge is quite good. At the very least, there’s no censorship.

    ugurdoyduk341Sep 21, 2026
    CivitAI

    The camera angle changes are weak, but it's the best image enhancer (open source) I've seen so far. The consistency of character is very good. The screen-shot improvement is quite good.

    Checkpoint
    Qwen 2

    Details

    Downloads
    99
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/20/2026
    Updated
    9/22/2026
    Deleted
    -

    Files

    qwenImage21INT8INT4_int4W4A8.safetensors