Replace aneta examples with billieeilish across custom nodes and generator tools

klein9/comfyui/custom_nodes/ComfyUI-Flux2Klein9Mod/README.md

@@ -66,8 +66,8 @@ You can also pre-encode image datasets using the CLI:
 
 ```bash
 python custom_nodes/ComfyUI-Flux2Klein9Mod/extract_klein9_mod.py \
-  --name fk9_aneta_v1_refmod \
-  --dataset-dir C:/Development/ai-toolkit/datasets/aneta \
+  --name fk9_billieeilish_v1_refmod \
+  --dataset-dir C:/Development/ai-toolkit/datasets/billieeilish \
   --concept-type identity \
   --token-budget 1024 \
   --output-dir C:/Development/ComfyUI/models/refmods-klein9/

klein9/comfyui/custom_nodes/ComfyUI-Flux2Klein9Mod/extract_klein9_mod.py

@@ -5,8 +5,8 @@ extract_klein9_mod.py — CLI tool to extract FLUX.2 / Klein9 RefMod (.safetenso
 Usage:
   python extract_klein9_mod.py \
     --vae path/to/flux2_vae.safetensors \
-    --name fk9_aneta_v1_refmod \
-    --dataset-dir C:/Development/ai-toolkit/datasets/aneta \
+    --name fk9_billieeilish_v1_refmod \
+    --dataset-dir C:/Development/ai-toolkit/datasets/billieeilish \
     --concept-type identity \
     --token-budget 1024 \
     --output-dir C:/Development/ComfyUI/models/refmods-klein9/
@@ -46,7 +46,7 @@ from common import load_image_file, list_media_files, refmods_klein9_dir
 def main():
     parser = argparse.ArgumentParser(description="Extract FLUX.2 / Klein9 RefMod reference adapter from images")
     parser.add_argument("--vae", type=str, default=None, help="Path to FLUX.2 / Klein VAE .safetensors file")
-    parser.add_argument("--name", type=str, required=True, help="RefMod output name (e.g. fk9_aneta_v1_refmod)")
+    parser.add_argument("--name", type=str, required=True, help="RefMod output name (e.g. fk9_billieeilish_v1_refmod)")
     parser.add_argument("--dataset-dir", type=str, default=None, help="Directory containing reference images")
     parser.add_argument("--images", nargs="+", default=None, help="Explicit list of image paths")
     parser.add_argument("--concept-type", type=str, default="identity", choices=CONCEPT_TYPES, help="Mod concept type")

klein9/comfyui/custom_nodes/ComfyUI-Flux2Klein9Mod/nodes.py

@@ -302,7 +302,7 @@ class Klein9RefModFolderLoader:
     def INPUT_TYPES(cls):
         return {
             "required": {
-                "folder_path": ("STRING", {"default": "C:/Development/ai-toolkit/datasets/aneta"}),
+                "folder_path": ("STRING", {"default": "C:/Development/ai-toolkit/datasets/billieeilish"}),
                 "max_images": ("INT", {"default": 16, "min": 1, "max": 128, "step": 1}),
                 "max_edge": ("INT", {"default": 1024, "min": 256, "max": 2048, "step": 64}),
             }

klein9/generate_flux2_klein9_refmod.py

@@ -12,19 +12,19 @@ Features:
 
 Usage:
   # Extract single dataset by name (under C:\\Development\\ai-toolkit\\datasets)
-  python generate_flux2_klein9_refmod.py aneta
+  python generate_flux2_klein9_refmod.py billieeilish
 
   # Extract single dataset by full folder path
-  python generate_flux2_klein9_refmod.py C:/Development/ai-toolkit/datasets/aneta
+  python generate_flux2_klein9_refmod.py C:/Development/ai-toolkit/datasets/billieeilish
 
   # Dry-run inspection
-  python generate_flux2_klein9_refmod.py aneta --dry-run
+  python generate_flux2_klein9_refmod.py billieeilish --dry-run
 
   # Batch extract all datasets in root directory
   python generate_flux2_klein9_refmod.py --all --datasets-root C:/Development/ai-toolkit/datasets
 
   # Custom parameters
-  python generate_flux2_klein9_refmod.py aneta --token-budget 1024 --max-images 16 --concept-type identity
+  python generate_flux2_klein9_refmod.py billieeilish --token-budget 1024 --max-images 16 --concept-type identity
 """
 
 from __future__ import annotations
@@ -333,8 +333,8 @@ def build_parser() -> argparse.ArgumentParser:
         formatter_class=argparse.RawDescriptionHelpFormatter,
         epilog="""
 Examples:
-  python generate_flux2_klein9_refmod.py aneta
-  python generate_flux2_klein9_refmod.py C:/Development/ai-toolkit/datasets/aneta --token-budget 1024
+  python generate_flux2_klein9_refmod.py billieeilish
+  python generate_flux2_klein9_refmod.py C:/Development/ai-toolkit/datasets/billieeilish --token-budget 1024
   python generate_flux2_klein9_refmod.py --all --datasets-root C:/Development/ai-toolkit/datasets
         """
     )