Update app.py

app.py

@@ -5,7 +5,8 @@ import torch
 from PIL import Image
 
 # Load the model
-model_id = "nitrosocke/Ghibli-Diffusion"
+# model_id = "nitrosocke/Ghibli-Diffusion"
+model_id = "aaronaftab/mirage-ghibli"
 pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
 
 # Move pipeline to GPU if available
@@ -29,10 +30,13 @@ def ghibli_transform(input_image, prompt="ghibli style", strength=0.75, guidance
         output = pipe(
             prompt=prompt,
             image=init_image,
-            strength=strength,
-            guidance_scale=guidance_scale,
-            num_inference_steps=num_steps  # Use the UI-provided value
-           
+            # strength=strength,
+            # guidance_scale=guidance_scale,
+            # num_inference_steps=num_steps  # Use the UI-provided value
+            ######
+            guidance_scale: 10,
+            prompt_strength: 0.75
+            ######
         ).images[0]
     except Exception as e:
         raise gr.Error(f"Pipeline error: {str(e)}")