Fix: use upsampler 1.1, default 896x512

app.py

@@ -113,7 +113,7 @@ print("=" * 80)
 
 checkpoint_path = hf_hub_download(repo_id=CHECKPOINT_REPO, filename="sulphur_dev_bf16.safetensors")
 distilled_lora_path = hf_hub_download(repo_id=DISTILL_LORA_REPO, filename="distill_loras/ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors")
-spatial_upsampler_path = hf_hub_download(repo_id=LTX_MODEL_REPO, filename="ltx-2.3-spatial-upscaler-x2-1.0.safetensors")
+spatial_upsampler_path = hf_hub_download(repo_id=LTX_MODEL_REPO, filename="ltx-2.3-spatial-upscaler-x2-1.1.safetensors")
 gemma_root = snapshot_download(repo_id=GEMMA_REPO)
 
 print(f"Checkpoint: {checkpoint_path}")
@@ -221,8 +221,8 @@ def generate_video(
     enhance_prompt: bool = True,
     seed: int = 42,
     randomize_seed: bool = True,
-    height: int = 1024,
-    width: int = 1536,
+    height: int = 512,
+    width: int = 896,
     negative_prompt: str = DEFAULT_NEGATIVE_PROMPT,
     progress=gr.Progress(track_tqdm=True),
 ):
@@ -353,8 +353,8 @@ with gr.Blocks(title="Element-16 Video") as demo:
                 seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, value=10, step=1)
                 randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
                 with gr.Row():
-                    width = gr.Number(label="Width", value=1536, precision=0)
-                    height = gr.Number(label="Height", value=1024, precision=0)
+                    width = gr.Number(label="Width", value=896, precision=0)
+                    height = gr.Number(label="Height", value=512, precision=0)
                 with gr.Row():
                     enhance_prompt = gr.Checkbox(label="Enhance Prompt", value=False)
                     high_res = gr.Checkbox(label="High Resolution", value=True)