noob_v_pencil-XL

NoobAI-XL (NAI-XL) V-Pred-0.75S-Version Based

# Tools

• ComfyUI

• sd-mecha

• sd-mecha for Comfyui

# Checkpoints

• NoobAI-XL (NAI-XL) V-Pred-0.75S-Version

• NoobAI-XL (NAI-XL) V-Pred-0.65S-Version

• NoobAI-XL (NAI-XL) Epsilon-pred 1.0-version

• noob_v_penxil-XL 0.75s / v0.3.0 / v0.5.0

# Recipe

1. Merge using sd-mecha for ComfyUI.

# sd-mecha format recipe
model "sdxl\noob_v_pencil-XL-v0.5.0.safetensors" "sdxl" "base"
model "sdxl\noob_v_pencil-XL-0.75s.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_epsilonPred10Version.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &0 &1 &2 alpha=1.0
model "sdxl\noob_v_pencil-XL-v0.3.0.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_vPred065SVersion.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &3 &4 &5 alpha=1.0
model "sdxl\noobaiXLNAIXL_vPred075SVersion.safetensors" "sdxl" "base"
merge "add_cosine_b" &6 &7 alpha=0.05

1. Add v_pred and ztsnr keys.

# Python Script
BASE_MODEL_NAME = "noob_v_pencil-XL-v0.5.1"
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")