Update README.md

README.md

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 ---
 license: creativeml-openrail-m
+tags:
+- coreml
+- stable-diffusion
+- text-to-image
 ---
+# Core ML Converted Model:
+
+  - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-or-safetensors-files-to-Core-ML).
+  - Provide the model to an app such as **Mochi Diffusion** [Github](https://github.com/godly-devotion/MochiDiffusion) / [Discord](https://discord.gg/x2kartzxGv) to generate images.
+  - `split_einsum` version is compatible with all compute unit options including Neural Engine.
+  - `original` version is only compatible with `CPU & GPU` option.
+  - Custom resolution versions are tagged accordingly.
+  - The `vae-ft-mse-840000-ema-pruned.ckpt` VAE is embedded into the model.
+  - This model was converted with a `vae-encoder` for use with `image2image`.
+  - This model is `fp16`.
+  - Descriptions are posted as-is from original model source.
+  - Not all features and/or results may be available in `CoreML` format.
+  - This model does not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).
+  - This model does not include a `safety checker` (for NSFW content).<br>
+
+# meinamix_meinaV10:
+Source(s): [CivitAI](https://civitai.com/models/7240/meinamix)<br>
+
+<img class="mantine-7aj0so" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b1522a8f-7e55-45b3-9be0-9af20de5bdfd/width=450/00011.jpeg" alt="00011.png" style="max-height: 100%; max-width: 100%;">
+<img class="mantine-7aj0so" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c651d77a-e32e-415b-bcae-2750425be5dd/width=450/00015.jpeg" alt="00015.png" style="max-height: 100%; max-width: 100%;">
+<img class="mantine-7aj0so" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8d2cc622-ad72-4724-aaa7-0c6316653494/width=450/00004.jpeg" alt="00004.png" style="max-height: 100%; max-width: 100%;">
+<img class="mantine-7aj0so" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3e4ca1d9-c35e-4796-bdb2-943d7af15120/width=450/00005.jpeg" alt="00005.png" style="max-height: 100%; max-width: 100%;">
+
+MeinaMix objective is to be able to do good art with little prompting.
+
+I created a discord server where you can post images that you generated, discuss prompt and/or ask for help. https://discord.gg/meinaverse
+
+You may also try my model using Sinkin.ai: https://sinkin.ai/m/vln8Nwr
+
+If you like one of my models and want to support their updates:
+I have a ko-fi and Patreon page where you can support me or buy me a coffee <3 , it will be very much appreciated: https://ko-fi.com/meina and https://www.patreon.com/MeinaMix
+
+MeinaMix and the other of Meinas will ALWAYS be FREE.
+
+The images in the samples aren't cherry picked, if i had spent 2h to cherry pick each of the images it would hide how the model really performs and i don't think thats fair.
+
+Recommendations of use:
+--------------------------------------------------------------------------------
+Enable Quantization in K samplers.
+
+Hires.fix is needed for prompts where the character is far away in order to make decent images, it drastically improve the quality of face and eyes!
+---------------------------------------------
+Recommended parameters:
+Sampler: Euler a: 40 to 60 steps.
+Sampler: DPM++ SDE Karras: 30 to 60 steps.
+Sampler: DPM++ 2M Karras: 20 to 60 steps.
+CFG Scale: 4 to 11.
+Resolutions: 512x768, 512x1024 for Portrait!
+Resolutions: 768x512, 1024x512, 1536x512 for Landscape!
+Hires.fix: R-ESRGAN 4x+Anime6b, with 15 steps at 0.4 denoising.
+Clip Skip: 2.
+Negatives: ' (worst quality, low quality:1.4), (zombie, sketch, interlocked fingers, comic), '
+--------------------------------------------------------------------------------
+
+In the merged models list: MeinaMix V1~6, MeinaPastel V3~5, MeinaHentai V2~3, Night Sky YOZORA Style Model, PastelMix and Facebomb, i do not have the exact recipe because i did multiple mixings using block weighted merges with multiple settings and kept the better version of each merge.