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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/
+base_model:
+- Laxhar/sdxl_noob
+---
+# Illumina-NoobVpd
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/630e2d981ef92d4e37a1694e/wBjJ21LUPoQ_OsqCCtG0m.jpeg)
+
+Fine-tuned NoobAI-XL(v-prediction) and merged SPO
+
+## Requirements
+- AUTOMATIC1111 WebUI on `dev` branch
+- Latest ComfyUI
+- ReForge on `dev_upstream_experimental` branch
+
+### Instruction for AUTOMATIC1111
+1. Switch branch to dev
+2. Copy configs/sd_xl_v.yaml to models/Stable-Diffusion/
+3. Rename it to the same as the model name
+
+### Instruction for ReForge
+1. Switch branch to `dev_upstream_experimental`
+2. Find “Advanced Model Sampling for Forge” at the bottom of the page
+3. Enable “Enable Advanced Model Sampling”
+4. Select `v_prediction` in Discrete Sampling Type
+
+### Example Workflow for ComfyUI
+Download it from [here](https://files.catbox.moe/v0isof.png)
+
+## Prompt Guidelines
+Almost same as the base model
+
+To improve the quality of background, add `simple background, transparent background` to Negative Prompt.
+
+## Recommended Prompt
+### standard
+Positive: None(Works good without `masterpiece, best quality`)
+
+Negative: `worst quality, low quality, bad quality, lowres, jpeg artifacts, unfinished, oldest, old, photoshop \(medium\), abstract`
+
+## Recommended Settings
+Steps: 14-28
+
+Sampler: DPM++ 2M(dpmpp_2m)
+
+Scheduler: Simple
+
+Guidance Scale: 4-9
+
+### Hires.fix
+
+Hires upscaler: 4x-UltraSharp or Latent(nearest-exact)
+
+Denoising strength: 0.4-0.5(0.6 for latent)
+
+
+## Merge recipe(Weighted sum)
+I made 6 Illustrious-based models and merged them.
+
+- Stage 0: finetunes v-pred test model with AI-generated images
+- Stage 1: finetunes stage 0 model with 300 scenery images from Gelbooru
+
+- Stage 2:
+
+*A-F: finetuned stage1(ReLoRA)
+
+- A * 0.6 + B * 0.4 = tmp1
+- tmp1 * 0.6 + C * 0.4 = tmp2
+- tmp2 * 0.7 + F * 0.3 = tmp3
+- tmp3 * 0.7 + E * 0.3 = tmp4
+- tmp4 * 0.5 + D * 0.5 = tmp5
+- tmp5 * 0.65 + sd15 * 0.35 = tmp6
+- tmp6 + SPO LoRA = 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.