Update README.md

README.md

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----
-license: other
-license_name: faipl-1.0-sd
-license_link: https://freedevproject.org/faipl-1.0-sd/
----
+---
+license: other
+license_name: faipl-1.0-sd
+license_link: https://freedevproject.org/faipl-1.0-sd/
+pipeline_tag: text-to-image
+base_model:
+- Laxhar/noobai-XL-Vpred-1.0
+tags:
+- stable-diffusion
+- stable-diffusion-xl
+---
+
+# Abydos_Noob_v-pred-1.0.1
+
+Modified NoobAI-XL(v-prediction) with Blue Archive style
+
+[Civitai model page](https://civitai.com/models/923120)
+
+## About 1.0.1
+Better shadow rendering
+
+## Prompt Guidelines
+Almost same as the base model
+
+## Recommended Prompt
+None(Works good without `masterpiece, best quality`)
+
+## Recommended Negative Prompt
+`worst quality, bad quality, lowres, photoshop \(medium\), abstract`
+
+To improve the quality of background, add `simple background, transparent background` to Negative Prompt.
+
+## Recommended Settings
+Steps: 12-24
+
+Sampler: DPM++ 2M(dpmpp_2m) or Euler
+
+Scheduler: Simple or SGM Uniform
+
+Guidance Scale: 2-5
+
+### Hires.fix
+Upscaler: 4x-UltraSharp or Latent(nearest-exact)
+
+Denoising strength: 0.5(0.6-0.7 for latent)
+
+## Training steps
+1. Make 2 models from NoobAI(=A,B), A with ZTSNR, B w/o ZTSNR
+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,-0.05,0,0,0)=tmp1
+3. tmp1 + spo_sdxl_10ep_4k-data_lora_webui x 1 + sdxl-boldline x -0.25 = Result
+
+## Training scripts:
+[sd-scripts](https://github.com/kohya-ss/sd-scripts)
+
+## Notice
+This model is licensed under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)
+
+If you make modify this model, you must share both your changes and the original license.
+
+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.