# Tools
- [ComfyUI](https://github.com/comfyanonymous/ComfyUI)
- [sd-mecha](https://github.com/ljleb/sd-mecha)
- [sd-mecha for Comfyui](https://github.com/ljleb/comfy-mecha)

# Checkpoints
- [noob_v_pencil-XL-v2.0.1](https://huggingface.co/bluepen5805/noob_v_pencil-XL)
- [illustrious_pencil-XL-v5.0.0](https://huggingface.co/bluepen5805/illustrious_pencil-XL)
- [NoobAI-XL (NAI-XL) V-Pred-1.0-Version](https://civitai.com/models/833294?modelVersionId=1190596)
- [NoobAI-XL (NAI-XL) Epsilon-pred 1.0-version](https://civitai.com/models/833294?modelVersionId=1022833)
- [Illustrious XL v1.1](https://huggingface.co/OnomaAIResearch/Illustrious-XL-v1.1)
- [Illustrious XL v0.1](https://huggingface.co/OnomaAIResearch/Illustrious-xl-early-release-v0)
- [Obsession (Illustrious-XL) v-pred_v1.1](https://civitai.com/models/820208?modelVersionId=1494740)
- [r3mix v1.0](https://civitai.com/models/1347947)

# Recipe

1. Merge using `sd-mecha for ComfyUI`. ( below sd-mecha format recipe )
```
model "obsessionIllustrious_vPredV11.safetensors" "sdxl" "base"
model "r3mixIllu01NAIVPred_v10.safetensors" "sdxl" "base"
model "noob_v_pencil-XL-v2.0.1.safetensors" "sdxl" "base"
model "illustrious_pencil-XL-v5.0.0.safetensors" "sdxl" "base"
model "noobaiXLNAIXL_vPred10Version.safetensors" "sdxl" "base"
model "noobaiXLNAIXL_epsilonPred10Version.safetensors" "sdxl" "base"
merge "train_difference" &3 &4 &5 alpha=1.1
merge "add_cosine_b" &2 &6 alpha=0.45
merge "subtract" &2 &5
merge "add_difference" &7 &8 alpha=0.075
merge "add_cosine_b" &1 &9 alpha=0.85
merge "add_cosine_b" &0 &10 alpha=0.9
merge "add_cosine_a" &11 &6 alpha=0.1
dict sdxl_txt_default=1.0 sdxl_unet_default=0.0 sdxl_txt2_default=1.0
merge "weighted_sum" &12 &2 alpha=&13
```

2. Add `v_pred` and `ztsnr` keys.

```python
BASE_MODEL_NAME = "noob_v_pencil-XL-v3.0.0"

tensors = {}
with safe_open(BASE_MODEL_NAME + "-base.safetensors", framework="pt", device="cpu") as f:
    for key in f.keys():
        tensors[key] = f.get_tensor(key)

tensors["v_pred"] = torch.tensor([0.0])
tensors["ztsnr"] = torch.tensor([0.0])

save_file(tensors, BASE_MODEL_NAME + ".safetensors")
```