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Double Exposure SDXL

40

179

32

14

Updated: May 8, 2024

stylephotorealisticphotographymanipulationstyles

Verified:

SafeTensor

Type

LoRA

Stats

179

32

1

Reviews

(40)

Published

May 8, 2024

Base Model

SDXL 1.0

Usage Tips

Clip Skip: 1
Strength: 1

Hash

AutoV2
A5CD52C741
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ndimensional's Avatar

ndimensional

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