readme: ---
  license: creativeml-openrail-m
  tags:
  - stable-diffusion
  - text-to-image
  - textual-inversion
  - embedding
  ---
  
  # cherrypicked examples:
  
  [<img src="https://huggingface.co/proxima/evreka_1-5/resolve/main/cherrypicked_examples.jpg">](https://huggingface.co/proxima/evreka_1-5/blob/main/cherrypicked_examples.jpg)
  
  
  # about
  
  - this textual inversion embedding was made with SD 1.5
  - has more zazz with [Protogen x3.4](https://huggingface.co/darkstorm2150/Protogen_x3.4_Official_Release) (as seen with the results above), probably works nicely with other custom models too
  - dataset was mostly landscapes, does influence other things tho, but might have a weaker effect on them
  - not great with quokkas
  
  # how to use
  - place evreka15.pt **or** evreka15.png in your embeddings folder
  - use as `“art by evreka15, [your prompt]”`; it does work better with that structure as opposed to just using "evreka15". this is due to the filewords training afaik, where the prompts in the template follow that syntax
  - if the style doesn’t come through strong enough it helps to add `“painting of”`, so the prompt would be `“art by evreka15, painting of [the rest of your prompt]”` or `“painting of [your prompt], art by evreka15,”` (these both express the style differently, most of my examples use the former but you might enjoy the latter more)
  - negative prompts that can help: `border, frame, blurry, pixelated, low quality`
  
  
  # comparisons
  [<img src="https://huggingface.co/proxima/evreka_1-5/resolve/main/model_comparisons.jpg">](https://huggingface.co/proxima/evreka_1-5/blob/main/model_comparisons.jpg)
  
  ----
  
  [<img src="https://huggingface.co/proxima/evreka_1-5/resolve/main/portrait_comparison.jpg">](https://huggingface.co/proxima/evreka_1-5/blob/main/portrait_comparison.jpg)
  # settings
  - all examples use Euler_a
  - steps between 20 - 52
  - CFG scale 7 - 10
  - made with highres fix in the [A1111 web ui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
  
    
  ----
  
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  ----