fix input image process

img2img.py

@@ -78,7 +78,7 @@ class Pipeline:
             use_tiny_vae=True,
             device=device,
             dtype=torch_dtype,
-            t_index_list=[8, 32],
+            t_index_list=[1,16],
             # 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=30,
-            guidance_scale=0.2,
+            guidance_scale=0.9,
         )
 
     def predict(self, image: Image.Image, params: "Pipeline.InputParams") -> Image.Image:

main.py

@@ -82,9 +82,10 @@ def main():
                     continue
 
                 image_rgb_array = image_bgra[:, :, [2,1,0]]                
-                image_rgb_array = (image_rgb_array+ 1.0 )/2.0
+                #image_rgb_array = (image_rgb_array+ 1.0 )/2.0
                 input_image = Image.fromarray(image_rgb_array, 'RGB')                
                 # input_image.save("debug_input.png")
+                #print(f"Input size:{input_image.size}")
                 
                 if not prompt_queue.empty():
                     new_prompt = prompt_queue.get(block=False)
@@ -96,7 +97,7 @@ def main():
                 params = img2img.Pipeline.InputParams(prompt=PROMPT)
                 output_image = pipeline.predict(image=input_image, params=params)                
                 # output_image.save("debug_output.png")
-
+                
                 # output_rgba_array = np.array(output_image.convert("RGBA"))
                 # output_bgra_array = output_rgba_array[:, :, [2, 1, 0, 3]]
                 # buffer = np.ascontiguousarray(output_bgra_array)