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    Qwen-Image-Aesthetic Realism - V1.0_Lightning
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    V1.0_Lightning  

    Qwen Image Aesthetic Reality is a model fine tuned based on Qwen Image, which is trained to blend Asian realism and optimize character texture. This model is a distillation acceleration model and belongs to a low deployment model, (Qwen-Image-Lightning-4steps-v2.0)

    Model features: Supports multi line layout, paragraph level text generation, and fine-grained detail presentation. Both Chinese and English can achieve high fidelity output, especially when dealing with complex Chinese typesetting, it performs significantly better than existing models.

    Recommended parameters:

    Sampler: Euler

    Scheduler: simple

    Steps: 4

    CFG :1

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    v1.0

    Qwen Image Aesthetic Realism is a model fine tuned based on Qwen Image, which is trained to blend Asian realism and optimize the texture of characters

    Model features: Supports multi line layout, paragraph level text generation, and fine-grained detail presentation. Both Chinese and English can achieve high fidelity output, especially when dealing with complex Chinese typesetting, it performs significantly better than existing models.

    Recommended parameters:

    Sampler: Euler

    Scheduler: simple

    Steps: 20+

    CFG :3-4

    Description

    Qwen Image Aesthetic Reality is a model fine tuned based on Qwen Image, which is trained to blend Asian realism and optimize character texture. This model is a distillation acceleration model and belongs to a low deployment model, (Qwen-Image-Lightning-4steps-v2.0)

    Model features: Supports multi line layout, paragraph level text generation, and fine-grained detail presentation. Both Chinese and English can achieve high fidelity output, especially when dealing with complex Chinese typesetting, it performs significantly better than existing models.

    Recommended parameters:

    Sampler: Euler

    Scheduler: simple

    Steps: 4

    CFG :1

    FAQ

    Checkpoint
    Qwen-Image

    Details

    Downloads
    686
    Platform
    SeaArt
    Platform Status
    Available
    Created
    9/24/2025
    Updated
    9/26/2025
    Deleted
    -

    Files