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    Double Exposure SDXL - Epoch-08
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    Experimental LoRA to see if controllable double exposure (superimposition) generations are possible via simple natural language captions.

    Results:

    Yes, it is possible to generate superimposed images by describing the different image 'layers' of the full image.

    However, The LoRA would benefit greatly from a larger dataset.


    Prompting tips:

    There is no prompt template. Generally, describe the full image you want with natural language. Although, you can use the comma-delimited (SD1.5) prompting method as well. In this case, ensure you include double exposure or superimposed somewhere in the prompt. Not using natural language sacrifies some control.


    Limitations:

    • Prompt Adherence: Due to insufficient training data; the generated image may not appear exactly as you described.

    • As a LoRA, the quality and prompt adherence are going to be influenced by the base model you're using. In other words, the same prompt will be different depending on which base model you're using. I found that some of the purely photorealistic models struggle with the abstract concept of a multi-exposure image.


    Questions/Feedback/Updates?

    Visit my thread on the Unstable Diffusion Discord


    Links:

    Find all epochs at 🤗Huggingface.

    Checkout my other models

    SDXL

    LoRA SDXL

    SD1.5

    LoRA SD1.5

    Description

    Epoch-08

    Other Epochs found at the huggingface repo linked in the main description.

    Trained on SDXL v1.0

    LORA
    SDXL 1.0

    Details

    Downloads
    194
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/8/2024
    Updated
    9/28/2025
    Deleted
    -

    Files

    Double-Exposure-000008.safetensors

    Mirrors