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---
license: other
license_name: faipl-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
base_model:
- Laxhar/sdxl_noob
---
# Illumina-NoobVpd
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. |