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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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- not-for-all-eyes |
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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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# realisticVision-v20_cn: |
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Source(s): [Hugging Face](https://huggingface.co./SG161222/Realistic_Vision_V2.0) - [CivitAI](https://civitai.com/models/4201/realistic-vision-v20) |
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**Please read this!** |
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My model has always been free and always will be free. There are no restrictions on the use of the model. The rights to this model still belong to me. |
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This model is available on Mage.Space, Sinkin.ai, GetImg.ai and RandomSeed.co (NSFW content) |
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You can find out news about this model and future models, as well as support me on Boosty. |
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Recommended for use with [VAE](https://huggingface.co./stabilityai/sd-vae-ft-mse-original) which has already been baked into the converted `CoreML` model version here. |
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I use this template to get good generation results: |
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**Prompt**: RAW photo, subject, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3 |
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**Example**: RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3 |
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**Negative Prompt**: (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck |
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OR |
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(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, amputation |
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`Euler A` or `DPM++ 2M Karras` with 25 steps |
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`CFG Scale` 7 |
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`Hires Fix` with `Latent` upscaler |
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0 `Hires Steps` and `Denoising Strength` 0.25 - 0.45 |
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`Upscaling` by 1.1 - 2.0 <br><br> |
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