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.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+civitai.sqlite filter=lfs diff=lfs merge=lfs -text

civitai.sqlite

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d02e292b53d6e03b43efe20e1a6f1030b798c51c5936e0bca0887bd5214efd3
+size 4350697472

look.py

@@ -0,0 +1,43 @@
+import sqlite3
+import pandas as pd
+import os
+
+# --- Configuration ---
+db_path = r'c:\Users\xcool\Downloads\civitai\civitai.sqlite'
+
+# --- THE IMPORTANT PART ---
+# We add a WHERE clause to filter for the exact username we want.
+# SQL strings are enclosed in single quotes (' ').
+search_term = "direct22202"
+query = "SELECT * FROM models WHERE username = '{search_term}';"
+
+# --- Script Logic ---
+output_filename = f'search_results_for_{search_term}.csv'
+
+if not os.path.exists(db_path):
+    print(f"Error: The file was not found at the path: {db_path}")
+else:
+    conn = None
+    try:
+        conn = sqlite3.connect(db_path)
+        print(f"Successfully connected. Searching for models by username '{search_term}'...")
+
+        df = pd.read_sql_query(query, conn)
+
+        if df.empty:
+            print("\nNo models found for that username.")
+        else:
+            # --- Option 1: Display results directly in the terminal ---
+            print("\n--- Found Models ---")
+            print(df)
+
+            # --- Option 2: Save results to a CSV file ---
+            df.to_csv(output_filename, index=False)
+            print(f"\n✅ Success! The results have also been saved to '{output_filename}'")
+
+    except Exception as e:
+        print(f"An error occurred: {e}")
+    finally:
+        if conn:
+            conn.close()
+            print("\nDatabase connection closed.")

looksearch.py

@@ -0,0 +1,48 @@
+import sqlite3
+import pandas as pd
+import os
+
+# --- Configuration ---
+db_path = r'c:\Users\xcool\Downloads\civitai\civitai.sqlite'
+
+# --- 1. SET YOUR LOOSE SEARCH TERM HERE ---
+# This will find any model with "Corneo" anywhere in its name.
+search_term = "Donald trump"
+
+# --- 2. THE SQL QUERY IS BUILT FOR A LOOSE SEARCH ---
+# The '?' is a placeholder to prevent errors and security issues (SQL injection).
+# The LIKE operator with '%' wildcards on both sides finds the search term anywhere.
+query = "SELECT id, name, type, username FROM models WHERE name LIKE ?;"
+
+# --- Script Logic ---
+output_filename = f'search_results_for_{search_term}.csv'
+
+if not os.path.exists(db_path):
+    print(f"Error: The file was not found at the path: {db_path}")
+else:
+    conn = None
+    try:
+        conn = sqlite3.connect(db_path)
+        print(f"Successfully connected. Searching for models with '{search_term}' in the name...")
+
+        # We pass the query and the parameters separately.
+        # The f-string formats our search term with the '%' wildcards.
+        df = pd.read_sql_query(query, conn, params=(f'%{search_term}%',))
+
+        if df.empty:
+            print(f"\nNo models found matching '{search_term}'.")
+        else:
+            print(f"\n--- Found {len(df)} Matching Models ---")
+            # Display results directly in the terminal
+            print(df)
+
+            # Save the full results to a CSV file for easy viewing
+            df.to_csv(output_filename, index=False)
+            print(f"\n✅ Success! The results have been saved to '{output_filename}'")
+
+    except Exception as e:
+        print(f"An error occurred: {e}")
+    finally:
+        if conn:
+            conn.close()
+            print("\nDatabase connection closed.")