noob_v_pencil-XL / noob_v_pencil-XL-v1.0.0.md
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Recipe

  1. Merge using sd-mecha for ComfyUI. ( below sd-mecha format recipe )
model "sdxl\noob_v_pencil-XL-1.0.safetensors" "sdxl" "base"
model "sdxl\illustrious_pencil-XL-v2.0.0.safetensors" "sdxl" "base"
model "sdxl\rillusmRealistic_v10.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_epsilonPred10Version.safetensors" "sdxl" "base"
merge "train_difference" &1 &2 &3 alpha=1.1
model "sdxl\noobaiXLNAIXL_vPred10Version.safetensors" "sdxl" "base"
merge "train_difference" &4 &5 &3 alpha=1.1500000000000001
merge "add_cosine_a" &0 &6 alpha=0.65
merge "add_cosine_a" &7 &5 alpha=0.0
model "sdxl\noob_v_pencil-XL-v0.5.1.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_vPred075SVersion.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &8 &9 &10 alpha=1.5
merge "slerp" &8 &11 alpha=0.6
model "sdxl\hassakuXLIllustrious_v10Style.safetensors" "sdxl" "base"
model "sdxl\Illustrious-XL-v0.1.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &12 &13 &14 alpha=1.0
model "sdxl\raehoshiIllustXL_v30.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_epsilonPred11Version.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &15 &16 &17 alpha=0.75
model "sdxl\ntrMIXIllustriousXL_xiii.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &18 &19 &17 alpha=1.0
merge "slerp" &0 &20 alpha=0.85
merge "train_difference" &21 &12 &3 alpha=1.0
model "sdxl\lhc_vPredAlpha04.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_vPred06Version.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &22 &23 &24 alpha=0.75
model "sdxl\noob_v_pencil-XL-v0.3.0.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_vPred065SVersion.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &25 &26 &27 alpha=0.25
merge "add_cosine_b" &28 &0 alpha=0.05
model "concept_sliders_1.safetensors" "sdxl" "lora"
merge "add_difference" &29 &30 alpha=1.0
model "concept_sliders_2.safetensors" "sdxl" "lora"
merge "add_difference" &31 &32 alpha=10.0
merge "add_cosine_a" &33 &9 alpha=0.35000000000000003
dict sdxl_txt_default=1.0 sdxl_unet_default=0.0 sdxl_txt2_default=0.5
merge "weighted_sum" &34 &0 alpha=&35
  1. Add v_pred and ztsnr keys.
BASE_MODEL_NAME = "noob_v_pencil-XL-v1.0.0"

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")