deliberate examples: near steer continues, far steer breaks

app.py

@@ -200,6 +200,9 @@ PROMPTS = {f"{p['idx']:>2} · {p['text']}": p["idx"] for p in INFO["prompts"]}
 WORLDS = {f"world {w['idx']} · {w['prompt'][:70]}": w["idx"] for w in INFO["worlds"]}
 WORLD_LABELS = list(WORLDS)
 PROMPT_LABELS = list(PROMPTS)
+# by bank index, so the examples below can name the prompt they mean
+P = {i: lbl for lbl, i in PROMPTS.items()}
+W = {i: lbl for lbl, i in WORLDS.items()}
 print(f"[boot] ready: step {INFO['step']}, {len(PROMPTS)} prompts, "
       f"{len(WORLDS)} worlds", flush=True)
 
@@ -350,6 +353,11 @@ NOTES = f"""
 - Prompts come from the project's 96-prompt bank, the conditioning every published
   number refers to. Free text needs umt5-xxl (11 GB) and is not loaded here; the
   [local demo]({GITHUB}) has it.
+- **How far you steer matters.** Swapping to a nearby scene (waterfall to mountain
+  stream) continues cleanly, because the K/V cache the stream is conditioned on
+  still describes something like the new prompt. Swapping somewhere very different
+  (waterfall to an aurora at night) visibly falls apart over the following seconds.
+  Both are worth trying — the examples below include one of each.
 - One stream at a time: the engine holds a single K/V cache, so requests queue.
 - A stream cannot exceed 1024 latent frames (~4.3 min) — that is where `WanModel`'s
   RoPE tables end. It stops itself and says so.
@@ -378,10 +386,14 @@ with gr.Blocks(title="LiveWan") as demo:
 
         gr.Examples(
             examples=[
-                [WORLD_LABELS[2], NO_STEER, 6, 20, 0],
-                [WORLD_LABELS[2], PROMPT_LABELS[60], 6, 18, 0],
-                [WORLD_LABELS[0], PROMPT_LABELS[3], 8, 18, 0],
-                [WORLD_LABELS[1], PROMPT_LABELS[45], 7, 18, 0],
+                # left alone, the waterfall holds for the full 20 s
+                [W[60], NO_STEER, 6, 20, 0],
+                # a near steer: waterfall -> mountain stream. The scene carries on
+                [W[60], P[57], 6, 18, 0],
+                # a far steer: waterfall -> aurora at night. This is where it breaks
+                [W[60], P[68], 6, 18, 0],
+                # a person, steered to another person
+                [W[0], P[2], 7, 18, 0],
             ],
             inputs=[world, steer_to, steer_at, seconds, seed],
             label="Try one",