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index.py

@@ -47,13 +47,11 @@ def image_classifier(prompt, starter_image, image_strength):
 
     if starter_image is not None:
         input = {
-            "width": 512,
-            "height": 512,
             "prompt": prompt + " in the style of TOK",
             "negative_prompt": "worst quality, low quality, illustration, 2d, painting, cartoons, sketch",
             #"refine": "expert_ensemble_refiner",
             "apply_watermark": False,
-            "num_inference_steps": 25,
+            "num_inference_steps": 50,
             "num_outputs": 3,
             "lora_scale": .96,
             "image": "data:image/jpeg;base64," + starter_image_base64, 
@@ -61,13 +59,13 @@ def image_classifier(prompt, starter_image, image_strength):
         }
     else:
         input = {
-            "width": 512,
-            "height": 512,
+            "width": 1024,
+            "height": 1024,
             "prompt": prompt + " in the style of TOK",
             "negative_prompt": "worst quality, low quality, illustration, 2d, painting, cartoons, sketch",
             #"refine": "expert_ensemble_refiner",
             "apply_watermark": False,
-            "num_inference_steps": 25,
+            "num_inference_steps": 50,
             "num_outputs": 3,
             "lora_scale": .96,
         }