Update app.py

app.py

@@ -61,40 +61,33 @@ pipe = WanImageToVideoPipeline.from_pretrained(MODEL_ID,
 ).to('cuda')
 
 pipe.load_lora_weights(
-    "lightx2v/Wan2.2-Lightning", 
-    weight_name="Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1/high_noise_model.safetensors", 
-    adapter_name="lightx2v"
+    "obsxrver/wan2.2-i2v-scat",
+    weight_name="WAN2.2-I2V-HighNoise_scat-xxi-i2v.safetensors",
+    adapter_name="i2v_scat"
 )
-
-kwargs_lora_h = {}
-kwargs_lora_h["load_into_transformer"] = True
 pipe.load_lora_weights(
-    "GiorgioV/LoRA_for_WAN_22", 
-    weight_name="I2V_14B_HIGH.safetensors", 
-    adapter_name="lora_h", **kwargs_lora_h
+    "lightx2v/Wan2.2-Lightning",
+    weight_name="Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1/high_noise_model.safetensors",
+    adapter_name="lightx2v"
 )
 
-kwargs_lora = {}
-kwargs_lora["load_into_transformer_2"] = True
 pipe.load_lora_weights(
-    "lightx2v/Wan2.2-Lightning", 
-    weight_name="Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1/low_noise_model.safetensors", 
-    adapter_name="lightx2v_2", **kwargs_lora
+    "obsxrver/wan2.2-i2v-scat",
+    weight_name="WAN2.2-I2V-LowNoise_scat-xxi-i2v.safetensors",
+    adapter_name="i2v_scat_2",
+    load_into_transformer_2=True
 )
-
-kwargs_lora_l = {}
-kwargs_lora_l["load_into_transformer_2"] = True
 pipe.load_lora_weights(
-    "GiorgioV/LoRA_for_WAN_22", 
-    weight_name="I2V_14B_LOW.safetensors", 
-    adapter_name="lora_l", **kwargs_lora_l
+    "lightx2v/Wan2.2-Lightning",
+    weight_name="Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1/low_noise_model.safetensors",
+    adapter_name="lightx2v_2",
+    load_into_transformer_2=True
 )
 
-pipe.set_adapters(["lightx2v", "lora_h", "lightx2v_2", "lora_l"], adapter_weights=[1., 1., 1., 1.])
-pipe.fuse_lora(adapter_names=["lightx2v"], lora_scale=0.9, components=["transformer"])
-pipe.fuse_lora(adapter_names=["lora_h"], lora_scale=0.4, components=["transformer"])
-pipe.fuse_lora(adapter_names=["lightx2v_2"], lora_scale=0.9, components=["transformer_2"])
-pipe.fuse_lora(adapter_names=["lora_l"], lora_scale=0.8, components=["transformer_2"])
+
+pipe.set_adapters([ "i2v_scat","lightx2v","i2v_scat_2","lightx2v_2"], adapter_weights=[0.95, 0.9, 0.95, 0.9])
+pipe.fuse_lora(adapter_names=["i2v_scat","lightx2v"], lora_scale=1., components=["transformer"])
+pipe.fuse_lora(adapter_names=["i2v_scat_2","lightx2v_2"], lora_scale=1., components=["transformer_2"])
 pipe.unload_lora_weights()
 
 quantize_(pipe.text_encoder, Int8WeightOnlyConfig())