Type | |
Stats | 164 32 |
Reviews | (38) |
Published | May 8, 2024 |
Base Model | |
Usage Tips | Clip Skip: 1 Strength: 1 |
Hash | AutoV2 A5CD52C741 |
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
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