diff --git a/hy3dgen/shapegen/bpt/model/model.py b/hy3dgen/shapegen/bpt/model/model.py
index 8832060..c1260e0 100644
--- a/hy3dgen/shapegen/bpt/model/model.py
+++ b/hy3dgen/shapegen/bpt/model/model.py
@@ -18,6 +18,7 @@ from .miche_conditioner import PointConditioner
 from functools import partial
 from tqdm import tqdm
 from .data_utils import discretize
+from comfy.utils import ProgressBar
 
 # helper functions
 
@@ -182,6 +183,10 @@ class MeshTransformer(Module):
 
         cache = None
         eos_iter = None
+
+        # ✅ Initialize ComfyUI progress bar
+        pbar = ProgressBar(max_seq_len - curr_length)
+
         # predict tokens auto-regressively
         for i in tqdm(range(curr_length, max_seq_len), position=tqdm_position, 
                       desc=f'Process: {tqdm_position}', dynamic_ncols=True, leave=False):
@@ -207,6 +212,9 @@ class MeshTransformer(Module):
             sample = torch.multinomial(probs, 1)
             codes, _ = pack([codes, sample], 'b *')
 
+            # ComfyUI progress bar
+            pbar.update(1)
+
             # Check if all sequences have encountered EOS at least once
             is_eos_codes = (codes == self.eos_token_id)
             if is_eos_codes.any(dim=-1).all():
@@ -216,6 +224,9 @@ class MeshTransformer(Module):
                 # Once we've generated 20% more tokens than eos_iter, break out of the loop
                 if codes.shape[-1] >= int(eos_iter * 1.2):
                     break
+                
+        # Ensure progress bar reaches 100% when loop completes
+        pbar.complete()
 
         # mask out to padding anything after the first eos