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Update README.md

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  license: creativeml-openrail-m
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  inference: true
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  ---
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- High saturation is less frequently an issue in this version at 7 CFG than the last. But if it happens again, it helps to pull back to 6.
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  `<neg-sketch-2>` negative embedding highly recommended for realism and 3D style images (among others). It can be found here: https://huggingface.co/JPPhoto/neg-sketch-2
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  When prompting for paintings, I suggest using "framed, borders, photo" as your negative prompt to get fullscreen images and cut out any weird 3D-like people.
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- When prompting for illustrations, I like to use "photo, realistic" as my negative prompt.
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  When prompting for realism, I normally use a negative prompt of `<neg-sketch-2>` at 1.1 weight and "(anime, render, pixar, illustration, sketch)" at 1.2 weight.
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  [Example images hosted on Civitai](https://civitai.com/models/15022?modelVersionId=132011) were generated in InvokeAI's Nodes using latent upscaling from close to ~512x resolution up a few hundred pixels each side at 0.55-0.65 strength w/ DDIM. This was followed up with an ESRGAN model upscale, then converting the image to latents and using ControlNet Tile in a latent to latent stage at 0.2-0.4 strength w/ DDIM.
 
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  license: creativeml-openrail-m
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  inference: true
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  ---
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+ High saturation is much less frequently an issue in this version at 7 CFG than the last. But if it happens again, it helps to pull back to 6.
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  `<neg-sketch-2>` negative embedding highly recommended for realism and 3D style images (among others). It can be found here: https://huggingface.co/JPPhoto/neg-sketch-2
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  When prompting for paintings, I suggest using "framed, borders, photo" as your negative prompt to get fullscreen images and cut out any weird 3D-like people.
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+ When prompting for illustrations, I like to use "photo" or "realistic" as my negative prompt.
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  When prompting for realism, I normally use a negative prompt of `<neg-sketch-2>` at 1.1 weight and "(anime, render, pixar, illustration, sketch)" at 1.2 weight.
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+ [Garbage-bin concepts LoRA](https://civitai.com/models/95391?modelVersionId=101827) recommended for any intense silliness.
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+
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  [Example images hosted on Civitai](https://civitai.com/models/15022?modelVersionId=132011) were generated in InvokeAI's Nodes using latent upscaling from close to ~512x resolution up a few hundred pixels each side at 0.55-0.65 strength w/ DDIM. This was followed up with an ESRGAN model upscale, then converting the image to latents and using ControlNet Tile in a latent to latent stage at 0.2-0.4 strength w/ DDIM.