# 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)
- [Concept Sliders](https://github.com/rohitgandikota/sliders)

# Checkpoints
- [NoobAI-XL (NAI-XL) EpsilonV-Pred-0.65S-Version](https://civitai.com/models/833294?modelVersionId=1093948)
- [NoobAI-XL (NAI-XL) Epsilon-pred 1.0-version](https://civitai.com/models/833294?modelVersionId=1022833)
- [Rillusm - Realistic Illustrious v1.0](https://civitai.com/models/959736?modelVersionId=1074511)
- [anima_pencil-XL-v5.0.0](https://huggingface.co/bluepen5805/anima_pencil-XL)
- [SD-XL 1.0-base](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)

# LoRAs
- self-made ConceptSliders

# Recipe

1. Merge using `sd-mecha for ComfyUI`. ( below sd-mecha format recipe )
```
model "sdxl\noob_v_pencil-XL-v0.2.5.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_vPred065SVersion.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_epsilonPred10Version.safetensors" "sdxl" "base"
model "sdxl\anima_pencil-XL-v5.0.0.safetensors" "sdxl" "base"
model "sdxl\sd_xl_base_1.0.safetensors" "sdxl" "base"
merge "train_difference" &2 &3 &4 alpha=0.525
merge "train_difference" &5 &1 &2 alpha=0.975
merge "add_cosine_b" &1 &6 alpha=1.0
merge "train_difference" &0 &7 &1 alpha=1.0
dict sdxl_txt_default=0.0 sdxl_txt2_default=0.0 sdxl_unet_default=0.25
merge "weighted_sum" &0 &8 alpha=&9
merge "train_difference" &10 &0 &1 alpha=0.2
model "sdxl\rillusmRealistic_v10.safetensors" "sdxl" "base"
merge "train_difference" &11 &12 &2 alpha=1.5
merge "train_difference" &13 &1 &2 alpha=0.4
merge "add_cosine_a" &11 &14 alpha=0.65
model "concept_sliders_1.safetensors" "sdxl" "lora"
merge "add_difference" &15 &16 alpha=8.0
merge "add_difference" &17 &16 alpha=4.0
model "concept_sliders_2.safetensors" "sdxl" "lora"
merge "add_difference" &18 &19 alpha=16.0
merge "add_cosine_a" &20 &0 alpha=0.0
```

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

```python
BASE_MODEL_NAME = "noob_v_pencil-XL-v0.3.0"

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")
```