bugfix

app.py

@@ -41,10 +41,10 @@ controlnet = FluxControlNetModel.from_pretrained(controlnet_model, torch_dtype=t
 
 
 pipe = FluxControlNetInpaintPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16).to(device)
-torch.backends.cuda.matmul.allow_tf32 = True
-pipe.vae.enable_tiling()
-pipe.vae.enable_slicing()
-pipe.enable_model_cpu_offload() # for saving memory
+# torch.backends.cuda.matmul.allow_tf32 = True
+# pipe.vae.enable_tiling()
+# pipe.vae.enable_slicing()
+# pipe.enable_model_cpu_offload() # for saving memory
 
 control_mode_ids = {
     "scribble_hed": 0,
@@ -175,7 +175,7 @@ def run_flux(
     generator = torch.Generator().manual_seed(seed_slicer)
 
     with calculateDuration("run pipe"):
-        print("start to run pipe")
+        print("start to run pipe", prompt)
         generated_image = pipe(
             prompt=prompt,
             image=image,
@@ -188,7 +188,7 @@ def run_flux(
             strength=strength_slider,
             generator=generator,
             num_inference_steps=num_inference_steps_slider,
-            max_sequence_length=256,
+            # max_sequence_length=256,
             joint_attention_kwargs={"scale": lora_scale}
         ).images[0]
     progress(99, "Generate image success!")
@@ -292,7 +292,7 @@ def process(
     
     control_image = control_image.resize((width, height), Image.LANCZOS)    
     control_mode_id = control_mode_ids[control_mode]
-    
+    clear_cuda_cache()
     try:
         generated_image = run_flux(
             image=image,