diff --git a/3d-generation-pipeline/generate_image_local.py b/3d-generation-pipeline/generate_image_local.py
index c32f52ac..f8415f25 100644
--- a/3d-generation-pipeline/generate_image_local.py
+++ b/3d-generation-pipeline/generate_image_local.py
@@ -76,6 +76,8 @@ async def text_to_image_invoke_ai(prompt, output_path):
     # see available model keys via GET http://127.0.0.1:9090/api/v2/models/?model_type=main
     args = {
         "prompt": prompt,
+        "width": 512,
+        "height": 512,
         "model_key": "79401292-0a6b-428d-b7d7-f1e86caeba2b" # Juggernaut XL v9
         #"model_key": "735f6485-6703-498f-929e-07cf0bbbd179" # Dreamshaper 8
     }
diff --git a/3d-generation-pipeline/generate_model_local.py b/3d-generation-pipeline/generate_model_local.py
index 76474287..e35b9f71 100644
--- a/3d-generation-pipeline/generate_model_local.py
+++ b/3d-generation-pipeline/generate_model_local.py
@@ -47,7 +47,7 @@ def generate_no_preview(image_base64: str):
             'ss_sampling_steps': 10,
             'slat_guidance_strength': 7.5,
             'slat_sampling_steps': 10,
-            'mesh_simplify_ratio': 0.99,
+            'mesh_simplify_ratio': 0.97,
             'texture_size': 1024,
             #'texture_baking_mode': 'opt',
             'texture_opt_total_steps': 1000,
diff --git a/3d-generation-pipeline/start_pipeline.py b/3d-generation-pipeline/start_pipeline.py
index 78293ed7..d8d1afda 100644
--- a/3d-generation-pipeline/start_pipeline.py
+++ b/3d-generation-pipeline/start_pipeline.py
@@ -33,7 +33,7 @@ async def main():
 
     input_prompt = args.prompt
     print(f"Input prompt: {input_prompt}")
-    image_generation_prompt = input_prompt + ", single object, plain neutral background, high-resolution, sharp details, soft studio lighting, front and side visible, realistic style, true-to-scale"
+    image_generation_prompt = input_prompt + ", single object, fully visible, plain neutral background, high-resolution, sharp details, soft studio lighting, front and side visible, anime style, true-to-scale"
     
     pipeline_folder = Path(__file__).resolve().parent
     timestamp = get_timestamp()