Update app.py

app.py

@@ -11,7 +11,7 @@ import spaces
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 # --- MODEL SETUP ---
-model_id = "Wan-AI/Wan2.2-T2V-A14B-Diffusers"
+model_id = "Wan-AI/Wan2.1-T2V-14B-Diffusers"
 vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
 pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
 flow_shift = 2.0
@@ -116,7 +116,7 @@ def generate(prompt, negative_prompt, width, height, num_inference_steps, option
     adapter_weights = [0.0] * len(ALL_ADAPTER_NAMES)
     try:
         base_lora_index = ALL_ADAPTER_NAMES.index(CAUSVID_NAME)
-        adapter_weights[base_lora_index] = 0.0
+        adapter_weights[base_lora_index] = 1.0
     except ValueError:
         pass # Base lora was not loaded, so its weight remains 0.