Update app.py

app.py

@@ -27,7 +27,7 @@ import gradio as gr
 import pk_workflow as pk
 
 MODEL_REPO = os.environ.get("H3_MODEL_REPO", "MiniMaxAI/MiniMax-H3")
-CONDITIONER_SPACE = os.environ.get("H3_CONDITIONER", "multimodalart/qwen3vl-conditioner")
+CONDITIONER_SPACE = os.environ.get("H3_CONDITIONER", "dagloop5/qwen3vl-conditioner")
 # `pack` places the transformer at startup, `lazy` moves everything on the first GPU call.
 PLACEMENT = os.environ.get("H3_PLACEMENT", "pack").lower()
 # cuDNN's fused attention is 10-20% faster than the SDPA default on this pool and needs nothing installed. It is
@@ -434,7 +434,7 @@ def get_duration(
     return max(60, int((denoise + decode + post) * _MARGIN) + _PLACEMENT_ALLOWANCE)
 
 
-@spaces.GPU(duration=get_duration, size=GPU_SIZE)
+@spaces.GPU(duration=125, size=GPU_SIZE)
 def _generate(
     prompt_embeds,
     text_token_tags,