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  1. DOCS.md +11 -8
  2. README.md +1 -2
DOCS.md CHANGED
@@ -27,22 +27,25 @@ Before generating, make sure `Images` is set to the number of images you want an
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  ### Embeddings
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- Select one or more negative [textual inversion](https://huggingface.co/docs/diffusers/en/using-diffusers/textual_inversion_inference) embeddings to be appended to the _negative_ prompt:
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- * [`<fast_negative>`](https://civitai.com/models/71961?modelVersionId=94057): all-purpose (default)
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- * [`<unrealistic_dream>`](https://civitai.com/models/72437?modelVersionId=77173): realistic add-on
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- * [`<cyberrealistic_negative>`](https://civitai.com/models/77976?modelVersionId=82745): alternative realistic add-on
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  ### Styles
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- [Styles](https://huggingface.co/spaces/adamelliotfields/diffusion/blob/main/data/styles.json) are prompt templates originally based on the [twri/sdxl_prompt_styler](https://github.com/twri/sdxl_prompt_styler) Comfy node. These work best with a simple subject. For example, `a young adult woman` and `ugly, dull` with the _Abstract Expressionism_ style will result in the following prompts:
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- * Positive: `abstract expressionist painting of a young adult woman, energetic brushwork, bold colors, abstract forms, expressive, emotional`
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- * Negative: `ugly, dull, realistic, photorealistic, low contrast, plain, simple, monochrome`
 
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  ### Scale
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- Rescale up to 4x using [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) with weights from [ai-forever](ai-forever/Real-ESRGAN).
 
 
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  ### Models
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  ### Embeddings
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+ Select one or more [textual inversion](https://huggingface.co/docs/diffusers/en/using-diffusers/textual_inversion_inference) embeddings:
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+ * [`fast_negative`](https://civitai.com/models/71961?modelVersionId=94057): all-purpose (default)
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+ * [`unrealistic_dream`](https://civitai.com/models/72437?modelVersionId=77173): realistic add-on (for RealisticVision)
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+ * [`cyberrealistic_negative`](https://civitai.com/models/77976?modelVersionId=82745): realistic add-on (for CyberRealistic)
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  ### Styles
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+ [Styles](https://huggingface.co/spaces/adamelliotfields/diffusion/blob/main/data/styles.json) are prompt templates that wrap your positive and negative prompts. They were originally derived from the [twri/sdxl_prompt_styler](https://github.com/twri/sdxl_prompt_styler) Comfy node, but have since been entirely rewritten.
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+ Start by framing a simple subject like `portrait of a young adult woman` or `landscape of a mountain range`. Experiment with different styles and don't forget about the negative prompt.
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+ > NB: Most styles work best with the Dreamshaper model; however, the "Enhance" style is meant to be universal. The "Photography" styles work especially well with the realistic models.
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  ### Scale
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+ Rescale up to 4x using [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) with weights from [ai-forever](ai-forever/Real-ESRGAN). Necessary for high-resolution images.
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+ > NB: I find this Real-ESRGAN model to work well, so I do not use a _hi-res fix_.
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  ### Models
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README.md CHANGED
@@ -62,9 +62,8 @@ preload_from_hub: # up to 10
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  Gradio app for Stable Diffusion 1.5 featuring:
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  * txt2img and img2img pipelines with IP-Adapter
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  * Curated models, LoRAs, and TI embeddings
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- * 100+ styles from sdxl_prompt_styler
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- * 150+ prompts from StableStudio
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  * Compel prompt weighting
 
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  * Multiple samplers with Karras scheduling
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  * DeepCache, FreeU, and Clip Skip available
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  * Real-ESRGAN upscaling
 
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  Gradio app for Stable Diffusion 1.5 featuring:
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  * txt2img and img2img pipelines with IP-Adapter
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  * Curated models, LoRAs, and TI embeddings
 
 
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  * Compel prompt weighting
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+ * dozens of styles and starter prompts
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  * Multiple samplers with Karras scheduling
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  * DeepCache, FreeU, and Clip Skip available
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  * Real-ESRGAN upscaling