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