Upload app.py

app.py

@@ -58,7 +58,6 @@ CANVASES = {
     "1536x672 · 21:9 full": (672, 1536),
 }
 DEFAULT_CANVAS = "960x544 · 16:9 fast"
-EXAMPLE_CANVAS, EXAMPLE_PORTRAIT_CANVAS = "1344x768 · 16:9 full", "768x1024 · 3:4 full"
 FPS, FRAMES_PER_CHUNK, LATENTS_PER_CHUNK = 24, 17, 5
 # It is the *snapped* frame count the ceiling has to hold for: 15 s is 360 frames, which rounds up to 362, i.e.
 # 15.083 s, and is refused. 14 is the last whole second that survives the snap.
@@ -533,9 +532,8 @@ def _generate(prompt_embeds, text_token_tags, references, height, width, num_fra
 
 
 def generate(
-    # The first four are the columns `gr.Examples` varies, and they lead the signature for that reason: an example row
-    # is applied to `inputs` positionally. Every parameter has a default, which is what lets a four-column row call
-    # this at all, and `upsample` is last so a positional API client that predates it is unaffected.
+    # Every parameter after `prompt` has a default, and the newest ones sit at the end, so a positional API client
+    # written against an older signature keeps working.
     prompt,
     image_1=None,
     audio_path=None,
@@ -755,43 +753,12 @@ with gr.Blocks(title="MiniMax-H3 Reference") as demo:
     lora_inputs = [field for pair in zip(lora_references, lora_scales) for field in pair]
     lora_upload.upload(_fill_lora_slots, [lora_upload, *lora_references], lora_references, api_name=False)
 
-    # Same order as `generate`'s signature: the exampled five first, then the remaining image slots, then the LoRA
-    # fields the `*lora_fields` tail collects.
+    # Same order as `generate`'s signature: the five leading columns first, then the remaining image slots, then the
+    # LoRA fields the `*lora_fields` tail collects.
     request = [
         prompt, images[0], audio, video, canvas, *images[1:], match, duration, steps, seed, upsample, *lora_inputs
     ]
 
-    gr.Examples(
-        examples=[
-            [
-                "The character walks through a neon-lit street in the rain, humming to themselves",
-                "examples/subject.png",
-                None,
-                None,
-                EXAMPLE_CANVAS,
-            ],
-            [
-                "The character speaks to camera in a quiet room, lips matching every word",
-                "examples/subject.png",
-                "examples/voice.wav",
-                None,
-                EXAMPLE_PORTRAIT_CANVAS,
-            ],
-            [
-                "The character moves with the same camera push, down a rainy alley at night",
-                "examples/subject.png",
-                None,
-                "examples/motion.mp4",
-                EXAMPLE_CANVAS,
-            ],
-        ],
-        inputs=[prompt, images[0], audio, video, canvas],
-        outputs=[result, upsampled, upsampled_panel],
-        fn=generate,
-        cache_examples=True,
-        cache_mode="lazy",
-    )
-
     run.click(generate, request, [result, upsampled, upsampled_panel], api_name="generate")