diff --git a/lavis/tasks/vqa.py b/lavis/tasks/vqa.py
index 78bc050c8..3c6211801 100644
--- a/lavis/tasks/vqa.py
+++ b/lavis/tasks/vqa.py
@@ -209,9 +209,9 @@ def _report_metrics(self, result_file, split):
             gt_ans = res["gt_ans"]
             pred = res["pred_ans"]
 
-            if self.inference_method == "generate":
-                pred = vqa_tool.processPunctuation(pred)
-                pred = vqa_tool.processDigitArticle(pred)
+            # if self.inference_method == "generate":
+            pred = vqa_tool.processPunctuation(pred)
+            pred = vqa_tool.processDigitArticle(pred)
 
             vqa_acc = 1 if pred == gt_ans else 0
 
diff --git a/projects/blip-diffusion/README.md b/projects/blip-diffusion/README.md
new file mode 100644
index 000000000..9663220ed
--- /dev/null
+++ b/projects/blip-diffusion/README.md
@@ -0,0 +1,8 @@
+## BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
+[Paper](https://arxiv.org/abs/2305.14720), [Demo Site](https://dxli94.github.io/BLIP-Diffusion-website/), [Video](https://youtu.be/Wf09s4JnDb0)
+
+This repo will host the official implementation of BLIP-Diffusion, a text-to-image diffusion model with built-in support for multimodal subject-and-text condition. BLIP-Diffusion enables zero-shot subject-driven generation, and efficient fine-tuning for customized subjects with up to 20x speedup. In addition, BLIP-Diffusion can be flexibly combiend with ControlNet and prompt-to-prompt to enable novel subject-driven generation and editing applications.
+
+<img src="teaser-website.png" width="800">
+
+Implementations are coming soon. 
diff --git a/projects/blip-diffusion/teaser-website.png b/projects/blip-diffusion/teaser-website.png
new file mode 100644
index 000000000..8c9889625
Binary files /dev/null and b/projects/blip-diffusion/teaser-website.png differ
diff --git a/requirements.txt b/requirements.txt
index 247190d57..e4790e2aa 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,6 @@
 contexttimer
-decord
+decord; platform_system != "Darwin" 
+eva-decord; platform_system == "Darwin"
 einops>=0.4.1
 fairscale==0.4.4
 ftfy