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README.md

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 ---
 license: creativeml-openrail-m
+tags:
+  - stable-diffusion
+  - text-to-image
+  - safetensors
+
 ---
+
+# Holicon
+
+A series of models based on my personal preferences.
+
+Holicon has no actual meaning. Suffix may represent a certain artist or the abbreviation of the models used in the merger. All models listed are baked in suitable VAE.
+
+## Tips
+
+1. Please feel free to use whatever parameters you want.
+
+2. But if you want to get images similar to the examples images or want to know some of my usage of these models, you can refer to the model introduction and use below.
+
+3. Download the image with a suffix other than 0 to read the parameters.
+
+## Introduction
+
+1. Holicon-F79
+
+Suitable for generating low saturation and more flat images, but it is weaker than other models in terms of prompt response.
+
+![F79_0](https://huggingface.co/Ruri0804/Holicon/resolve/main/Examples/F79_0.png )
+
+2. Holicon-Hiten
+
+Suitable for generating my personal favorite character with slightly juvenile and whiter skin, thanks to the merging of PVC type models.
+
+![Hiten_0](https://huggingface.co/Ruri0804/Holicon/resolve/main/Examples/Hiten_0.png )
+
+3. Holicon-mao
+
+This model is similar to the Holicon-Hiten character, but the image will be more pinkish. It has better scene generation capabilities. In terms of usage, I recommend using it only with Hires fix. (Automatic1111-stable-diffusion-webui 1.6.0+)
+
+![mao_0](https://huggingface.co/Ruri0804/Holicon/resolve/main/Examples/mao_0.png )
+
+Examples used on Hires fix.
+
+Nordrin_little v2.5 as the first pass and Holicon-mao as Hires fix.
+
+![mao_first_pass_generate_0](https://huggingface.co/Ruri0804/Holicon/resolve/main/Examples/mao_first_pass_generate_0.png )
+
+Holicon-F79 as the first pass and Holicon-mao as Hires fix.
+
+![mao_F79_4_second_hires_fix_0](https://huggingface.co/Ruri0804/Holicon/resolve/main/Examples/mao_F79_4_second_hires_fix_0.png )
+
+### Recommended Settings
+
+    Sampler: DPM++ SDE (30 ~ 50 steps)
+
+    Hires fix Sampler: Euler a (15 ~ 40 steps)
+
+    Upscaler 1: Latent (bicubic antialiased) for more details
+
+    Upscaler 2: ScuNET PSNR for cleaner results
+
+    Denoising: 0.5 ~ 0.6
+
+    CFG: 7 ~ 9
+