Version: 1.1.2 - Removed torch_dtype from from_pretrained call # Applied: # - Removed unsupported inputs/outputs kwargs on demo.load/unload # - Converted NumPy arrays to lists in pack_state for JSON safety # - Fixed indentation in Blocks event-handlers # - Verified clear() callbacks use only callback + outputs # - Removed `torch_dtype` arg from TrellisTextTo3DPipeline.from_pretrained # - Bumped version, added comments at change sites

app.py

@@ -1,9 +1,10 @@
-# Version: 1.1.1 - Targeted signature and state fixes
+# Version: 1.1.2 - Removed torch_dtype from from_pretrained call
 # Applied:
 #  - Removed unsupported inputs/outputs kwargs on demo.load/unload
 #  - Converted NumPy arrays to lists in pack_state for JSON safety
 #  - Fixed indentation in Blocks event-handlers
 #  - Verified clear() callbacks use only callback + outputs
+#  - Removed `torch_dtype` arg from TrellisTextTo3DPipeline.from_pretrained
 #  - Bumped version, added comments at change sites
 
 import gradio as gr
@@ -218,7 +219,7 @@ with gr.Blocks(delete_cache=(600, 600), title="TRELLIS Text-to-3D") as demo:
         inputs=[output_buf],
         outputs=[model_output, download_gs],
     ).then(
-        lambda: download_gs.update(interactive=True),
+        lambda: download_gaussian.update(interactive=True),
         outputs=[download_gs],
     )
 
@@ -233,9 +234,9 @@ with gr.Blocks(delete_cache=(600, 600), title="TRELLIS Text-to-3D") as demo:
     )
 
 if __name__ == "__main__":
+    # Removed torch_dtype argument to match current API
     pipeline = TrellisTextTo3DPipeline.from_pretrained(
-        "JeffreyXiang/TRELLIS-text-xlarge",
-        torch_dtype=torch.float16
+        "JeffreyXiang/TRELLIS-text-xlarge"
     )
     if torch.cuda.is_available(): pipeline = pipeline.to("cuda")
     demo.queue().launch(debug=True)