cleanup and local test

examples/inference/basic/basic_glm_image.py

@@ -1,13 +1,4 @@
 # SPDX-License-Identifier: Apache-2.0
-"""
-GLM-Image inference example using FastVideo.
-
-This example demonstrates how to generate images using the GLM-Image model
-through FastVideo's VideoGenerator API.
-
-Usage:
-    python examples/inference/basic/basic_glm_image.py
-"""
 
 import os
 
@@ -41,11 +32,12 @@ def main() -> None:
         height=1024,
         width=1024,
         num_inference_steps=50,
-        guidance_scale=7.5,
+        guidance_scale=1.5,
     )
 
-    if result and len(result) > 0:
-        img = Image.fromarray(result[0])
+    frames = result.get("frames") if isinstance(result, dict) else None
+    if frames:
+        img = Image.fromarray(frames[0])
         img.save(os.path.join(OUTPUT_PATH, "landscape.png"))
         print(f"Saved image to {OUTPUT_PATH}/landscape.png")