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README.md
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---
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license: other
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license_name: faipl-1.0-sd
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license_link: https://freedevproject.org/faipl-1.0-sd/
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---
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license: other
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license_name: faipl-1.0-sd
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license_link: https://freedevproject.org/faipl-1.0-sd/
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pipeline_tag: text-to-image
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base_model:
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- Laxhar/noobai-XL-Vpred-1.0
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tags:
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- stable-diffusion
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- stable-diffusion-xl
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---
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# Abydos_Noob_v-pred-1.1.0
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Modified NoobAI-XL(v-prediction) with Blue Archive style
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[Civitai model page](https://civitai.com/models/923120)
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## About 1.1.0
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Improved stability
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Better shadow rendering?
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## Recommended Prompt
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`official art, blue archive, game cg, non-web source, newest`
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## Recommended Negative Prompt
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`lowres, oldest`
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## Recommended Settings
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Steps: 14-24
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Sampler: DPM++ 2M SDE, DPM++ 3M SDE or Euler a
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Scheduler: Simple or SGM Uniform
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Guidance Scale: 2-5
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### Hires.fix
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Upscaler: 4x-UltraSharp or Latent(nearest-exact)
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Denoising strength: 0.4(0.6-0.7 for latent)
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## Training steps
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1. Make 2 models from NoobAI-XL v-pred 1.0(=A,B), A with ZTSNR, B w/o ZTSNR
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2. Merge A and B MBW(0,0,0,0,0,0.3,0.3,0,0.5,0.5,0.5,0.5,0.5,0.5,0.3,0.3,0,0,0,0) Adjust(0,0,0,0,-0.1,0,0,0)=tmp1
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3. tmp1 + spo_sdxl_10ep_4k-data_lora_webui x 1 + sdxl-boldline x -0.5 = Result
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## Training scripts:
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[sd-scripts](https://github.com/kohya-ss/sd-scripts)
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## Notice
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This model is licensed under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)
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If you make modify this model, you must share both your changes and the original license.
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You are prohibited from monetizing any close-sourced fine-tuned / merged model, which disallows the public from accessing the model's source code / weights and its usages.
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