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app.py

@@ -33,7 +33,7 @@ print(f"Using checkpoints from {ckpt_dir}")
 # Load the model configuration
 TASK_NAME = 'ti2v-5B'
 cfg = WAN_CONFIGS[TASK_NAME]
-FIXED_FPS = 24
+FIXED_FPS = 12
 MIN_FRAMES_MODEL = 8
 MAX_FRAMES_MODEL = 121 
 
@@ -109,8 +109,8 @@ def validate_inputs(image, prompt, duration_seconds):
         if img.size[0] * img.size[1] > 4096 * 4096:
             errors.append("Image size is too large (maximum 4096x4096).")
     
-    if duration_seconds > 5.0 and image is None:
-        errors.append("Videos longer than 5 seconds require an input image.")
+    if duration_seconds > 10.1 and image is None:
+        errors.append("Videos longer than 10.1 seconds require an input image.")
     
     return errors
 
@@ -227,7 +227,7 @@ css = """
 """
 
 # Default prompt with motion emphasis
-DEFAULT_PROMPT = "Generate a video with smooth and natural movement. Objects should have visible motion while maintaining fluid transitions."
+DEFAULT_PROMPT = "Two friends are paddling a kayak across a tranquil alpine lake, its surface as still as a mirror. Snow-capped peaks and dense forests are reflected in the crystal-clear water, and gentle ripples spread outward as the kayak moves. The camera slowly pans to the right, capturing the serene beauty of the scene. Distant mountains and trees are clearly visible in the background, adding a sense of natural harmony and peace."
 
 # Prompt templates
 templates = {

wan/configs/wan_ti2v_5B.py

@@ -29,7 +29,7 @@ ti2v_5B.cross_attn_norm = True
 ti2v_5B.eps = 1e-6
 
 # inference
-ti2v_5B.sample_fps = 24
+ti2v_5B.sample_fps = 12
 ti2v_5B.sample_shift = 5.0
 ti2v_5B.sample_steps = 50
 ti2v_5B.sample_guide_scale = 5.0