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README.md
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license: creativeml-openrail-m
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---
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---
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license: creativeml-openrail-m
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tags:
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- coreml
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- stable-diffusion
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- text-to-image
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---
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# Core ML Converted Model:
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- 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).
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- 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.
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- `split_einsum` version is compatible with all compute unit options including Neural Engine.
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- `original` version is only compatible with `CPU & GPU` option.
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- Custom resolution versions are tagged accordingly.
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- The `vae-ft-mse-840000-ema-pruned.ckpt` VAE is embedded into the model.
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- This model was converted with a `vae-encoder` for use with `image2image`.
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- This model is `fp16`.
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- Descriptions are posted as-is from original model source.
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- Not all features and/or results may be available in `CoreML` format.
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- This model does not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).
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- This model does not include a `safety checker` (for NSFW content).
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- This model can be used with ControlNet.
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<br>
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# majicmixRealistic_v6_cn:
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Source(s): [CivitAI](https://civitai.com/models/43331/majicmix-realistic)<br>
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Sponsors:
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PirateDiffusion.com is a proud sponsor of MajicMix. Use it on your mobile with 750 LoRAs, +100 checkpoints, inpaint, controlnet. 7-Day risk-free trial at: https://PirateDiffusion.com
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SinkIn.ai hosts the best Stable Diffusion models on fast GPUs. You can run MajicMIX Realistic at: https://sinkin.ai/m/yBG2r9O
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## v5对我来说不够好,对你们来说也是的,而且不够写实。所以v6很迫切需要。用Euler画特写,用euler a 画其他的。不要!不要!不要开脸部修复!用adetailer来修脸。我的例图都用了。
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## v6 is here. v5 is not good as I played for a while and see the results from yours. Therefore a v6 is urgent.
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Use Euler for close up, and Euler a for others. Again, don't use facial restoration, use After detailer instead! All my samples used adetailer without lora.
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推荐使用Euler作为采样器。
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Use Euler as sampler.
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听我一句劝,不要开脸部修复!
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Please don't use Face Restoration!
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如果要修复脸部,请使用after detailer.
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If your face comes out badly, use after detailer instead.
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https://github.com/Bing-su/adetailer
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我习惯开启Dynamic Thresholding来更好控制cfg值,1~20都可以尝试一下。
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Use Dynmaic Thresholding to control CFG. You can try from 1~20.
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https://github.com/mcmonkeyprojects/sd-dynamic-thresholding
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融合了多种模型,可以生成好看的脸部,也能有效应对暗部处理。远距离脸部需要inpaint以达成最好效果。也可以使用after detailer.
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A good looking model, suitable for NSFW and dark scene (because I added noiseoffset). long-range facial detail require inpainting to achieve the best results. You can also use after detailer.
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推荐关键词 recommended positive prompts: Best quality, masterpiece, ultra high res, (photorealistic:1.4), 1girl
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如果想要更暗的图像 if you want darker picture, add: in the dark, deep shadow, low key, etc.
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负面关键词 use ng_deepnegative_v1_75t and badhandv4 in negative prompt
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I've used a bug-fixed version of DPM++ 2M Karras, you can check this out: https://civitai.com/models/35966/dpm-2m-alt-karras-sampler
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## 推荐参数 Recommended Parameters:
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Sampler: Euler a, Euler, DPM++ 2M Karras (bug-fixed) or DPM++ SDE Karras
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Steps: 20~40
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Hires upscaler: R-ESRGAN 4x+ or 4x-UltraSharp
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Hires upscale: 2
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Hires steps: 15
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Denoising strength: 0.2~0.5
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CFG scale: 6-8
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clip skip 2
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脸部修复的方法 to inpaint the face: inpaint-->only masked-->set to 512x512-->Denoising strength:0.2~0.5
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basic formula:
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KanPiroMix + XSMix + ChikMix
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关注我的TG频道看更多例图:https://t.me/majic_NSFW<br><br>
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![image](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/55e308aa-aec9-4816-b76e-523d9235a6e1/width=450/00005-321001525.jpeg)
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![image](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cfb601e4-2b54-4f99-8094-8dedc4084a32/width=450/00014-4199314725.jpeg)
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![image](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9934e6ad-ee56-4828-8a63-cd536a2ad7a1/width=450/00004-2381204848.jpeg)
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![image](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b40abb54-c7ca-4efc-803b-f77ef0929eca/width=450/00046-270131351.jpeg)
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