update parameter

img2img.py

@@ -78,7 +78,7 @@ class Pipeline:
             use_tiny_vae=True,
             device=device,
             dtype=torch_dtype,
-            t_index_list=[2,16],
+            t_index_list=[1, 8, 16, 24],
             # t_index_list=[1],
             frame_buffer_size=1,
             width=params.width,
@@ -101,8 +101,8 @@ class Pipeline:
         self.stream.prepare(
             prompt=default_prompt,
             negative_prompt=default_negative_prompt,
-            num_inference_steps=50,
+            num_inference_steps=32,
-            guidance_scale=0.9,
+            guidance_scale=1.5,
         )
 
     def predict(self, image: Image.Image, params: "Pipeline.InputParams") -> Image.Image: