Update app.py

app.py

@@ -14,7 +14,8 @@ from diffusers import StableDiffusionPipeline
 tk=os.getenv('ghtoken')
 print("ttttt",tk)
 model_id = "black-forest-labs/FLUX.1-dev"
-pipe =DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16,token=tk)
+# pipe =DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16,token=tk)
+pipe =AutoPipelineForImage2Image.from_pretrained(model_id, torch_dtype=torch.bfloat16,token=tk)
 
 
 # # 1. 选择一个基础模型，例如 SD 1.5
@@ -77,7 +78,7 @@ with gr.Blocks(title="Ghibli Diffusion Image Transformer") as demo:
     with gr.Row():
         with gr.Column():
             input_img = gr.Image(label="Upload Image", type="pil")
-            prompt = gr.Textbox(label="Prompt", value="ghibli style")
+            prompt = gr.Textbox(label="Prompt", value="GHBLI anime style photo")
             strength = gr.Slider(0, 1, value=0.75, step=0.05, label="Strength (How much to transform)")
             guidance = gr.Slider(1, 20, value=7.5, step=0.5, label="Guidance Scale")
             num_steps = gr.Slider(10, 100, value=50, step=5, label="Inference Steps (Higher = Better Quality, Slower)")