update

flux1_img2img.py

@@ -9,7 +9,9 @@ import spaces
 
 @spaces.GPU
 def process_image(image,mask_image,prompt="a person",model_id="black-forest-labs/FLUX.1-schnell",strength=0.75,seed=0,num_inference_steps=4):
+    print("start process image process_image")
     if image == None:
+        print("empty input image returned")
         return None
     
     pipe = FluxImg2ImgPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16)