simpler names

app.py

@@ -72,9 +72,9 @@ DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 BRUSH_COLOR = "#ff00ff"
 
 MODE_LABELS = {
-    "Vision only (no LoRA)": "off",
-    "Append refs (Ostris edit LoRA)": "append",
-    "Prepend source (Identity-Edit LoRA)": "prepend",
+    "Vision only": "off",
+    "Style reference": "append",
+    "Identity edit": "prepend",
 }
 
 MASK_MODE_LABELS = {
@@ -253,9 +253,6 @@ def generate(
     randomize_seed,
     progress=gr.Progress(),
 ):
-    if not (prompt or "").strip():
-        raise gr.Error("Enter a prompt.")
-
     progress(0.0, desc="Loading model")
     pipe = get_pipe(model_choice)
     # `pipe.blocks` hands back a deepcopy; the pipeline runs `_blocks`, so the shim has to go there.
@@ -274,7 +271,7 @@ def generate(
     generator = torch.Generator("cpu").manual_seed(int(seed))
 
     kwargs = {
-        "prompt": prompt,
+        "prompt": prompt or "",
         "height": int(height),
         "width": int(width),
         "num_inference_steps": int(steps),
@@ -314,7 +311,7 @@ with gr.Blocks(title="Krea 2 — reference conditioning") as demo:
             with gr.Row():
                 mode = gr.Dropdown(
                     choices=list(MODE_LABELS),
-                    value="Vision only (no LoRA)",
+                    value="Vision only",
                     label="Reference mode",
                 )
                 mask_mode = gr.Dropdown(