new examples and det-logo req

app.py

@@ -60,6 +60,8 @@ def replace_concept_tokens(text: str):
     return text
 
 def inference(prompt: str, guidance_scale: int, num_inference_steps: int, seed: int):
+    if '<det-logo>' not in prompt:
+        raise ValueError('"<det-logo>" must be included in the prompt.')
     prompt = replace_concept_tokens(prompt)
     generator = torch.Generator(device=device).manual_seed(seed)
     output = pipeline(
@@ -224,14 +226,7 @@ examples = [
         #        1024,
     ],
 [
-        "a simple and atmospheric watercolour <det-logo>, very muted colors, by rebecca guay, michael kaluta, charles vess and jean moebius giraud",
-        #        4,
-        #        45,
-        #        7,
-        #        1024,
-    ],
-[
-        "a dark Rembrant painting of a <det-logo>, incredible composition, masterpiece",
+        "            Beautiful tarot illustration of a <det-logo>, in the style of james jean and victo ngai, mystical colors, trending on artstation",
         #        4,
         #        45,
         #        7,
@@ -284,7 +279,7 @@ with block:
 
         with gr.Row(elem_id="advanced-options"):
             num_inference_steps = gr.Slider(
-                label="Steps", minimum=1, maximum=80, value=40, step=1
+                label="Steps", minimum=1, maximum=80, value=50, step=1
             )
             guidance_scale = gr.Slider(
                 label="Guidance Scale", minimum=1.0, maximum=25.0, value=7.5, step=0.1
@@ -345,4 +340,4 @@ Despite how impressive being able to turn text into image is, beware to the fact
            """
         )
 
-block.queue(max_size=10).launch(enable_queue=True)
+block.queue(max_size=10).launch(show_error=True)