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--- |
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license: openrail++ |
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language: |
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- en |
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tags: |
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- coreml |
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- text-to-image |
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- stable-diffusion-xl |
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--- |
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# Core ML Converted SDXL 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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- `original` version is only compatible with `CPU & GPU` option |
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- `split_einsum` version takes **about 5-10 minutes** to load the model for the first time and is available for both `CPU & Neural Engine` and `CPU & GPU` options. If your Mac has a lot of GPUs, using the CPU & GPU option will speed up image generation. |
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- Resolution and bit size are as noted in the individual file names. |
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- This model requires macOS 14.0 or later to run properly. |
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- This model was converted with a `vae-encoder` for use with `image2image`. |
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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 not be used with ControlNet. |
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# CounterfeitXL-V2.0 |
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Sources: [Hugging Face](https://huggingface.co/gsdf/CounterfeitXL-V2.0) |
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- CoreML models are converted from CounterfeitXL-V2.5.safetensors. |
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The remaining contents of this model card were copied from the original CounterfeitXL-V2.0 repo |
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Civitai & Sample prompts |
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https://civitai.com/models/118406/counterfeitxl |
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CounterfeitXL-V2.0 has been primarily trained on the latest illustrations but encounters a recurring issue with the appearance of halos. |
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In such cases, please include 'halo' in negative prompts. |
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I have incorporated style tags into some of the training images. By describing these tags in the prompt, various effects can be achieved. |
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Additionally, inserting style tags into negative prompts or combining them allows for the generation of images that align with your imagined. |
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Style Tags |
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masterpiece: Beautifully and intricately drawn illustrations. |
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cinematic style: Stunning illustrations with detailed backgrounds and lighting. |
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aesthetic style: Illustrations featuring beautiful color schemes. |
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cute style: Cute. |
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flat color: Illustrations with strong lines and a minimal color palette. |
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anime style: Anime. |
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comic style: Illustrations characterized by bold color choices and abstract representations. |
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