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license: cc-by-nc-4.0 |
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# MzPikas TMND Enhanced |
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## experimental Attention Agreement Score merge model |
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Using the sum of negative DAAM cumulative attention scores from teacher models as loss, running neuron-wise merge with AdamW from four teacher models, trained on images with resolution 2048x2048 |
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https://civitai.com/models/27259/tmnd-mix |
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https://civitai.com/models/47067/pikas-new-generation-v10 |
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https://civitai.com/models/31383/mzmix |
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https://huggingface.co/Xynon/SD-Silicon/tree/main |
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## Model does not yield satisfactory result below resolution 2048x1024 during tests. |
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Tested workflow: |
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t2i 1024x512 x2 hiresfix SwinIR_4x or 4x-UltraSharp denoising strength 0.5-0.55 output 2048x1024 |
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i2i multidiffusion Euler a or DPM++ 2M Karras x2 Ultrasharp Denoising strength 0.35-0.4 output 4096x2048 |
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- Slight face/limb distortion under t2i result can be fixed automatically in i2i step |
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- reduce the weight of silicon isolation Lora/reduce the overall weight of background prompt/increase the overall weight of character prompt if foreground character does not appear. |
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- All images have metadata embeded in, please check the demo metadata for optimal prompt format |
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Lora used is included in repo. |
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You may also use controlnet in t2i step for character placement. |
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