noob_v_pencil-XL-v2.0.1.md

Tools

• ComfyUI
• sd-mecha
• sd-mecha for Comfyui

Checkpoints

• noob_v_pencil-XL-v2.0.0
• noob_v_pencil-XL-v1.2.0
• NoobAI-XL (NAI-XL) V-Pred-1.0-Version
• NoobAI-XL (NAI-XL) Epsilon-pred 1.0-version
• Illustrious XL v1.1
• Illustrious XL v0.1

Recipe

1. Merge using sd-mecha for ComfyUI. ( below sd-mecha format recipe )

model "noob_v_pencil-XL-v2.0.0.safetensors" "sdxl" "base"
model "noob_v_pencil-XL-v1.2.0.safetensors" "sdxl" "base"
model "noobaiXLNAIXL_vPred10Version.safetensors" "sdxl" "base"
merge "subtract" &1 &2
merge "add_difference" &0 &3 alpha=1.5
model "OnomaAI\Illustrious-XL-v1.1.safetensors" "sdxl" "base"
model "noobaiXLNAIXL_epsilonPred10Version.safetensors" "sdxl" "base"
model "Illustrious-XL-v0.1.safetensors" "sdxl" "base"
merge "train_difference" &5 &6 &7 alpha=0.5
merge "train_difference" &8 &2 &6 alpha=1.5
merge "subtract" &9 &2
merge "add_difference" &4 &10 alpha=0.2
merge "add_cosine_a" &11 &0 alpha=0.25
dict sdxl_unet_default=1.0 sdxl_txt2_default=0.0 sdxl_txt_default=0.0
merge "weighted_sum" &0 &12 alpha=&13

2. Add v_pred and ztsnr keys.

BASE_MODEL_NAME = "noob_v_pencil-XL-v2.0.1"

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")