diff --git a/README.md b/README.md
index 29bb63de..0d1ae428 100644
--- a/README.md
+++ b/README.md
@@ -386,6 +386,14 @@ $ python generate.py --dalle_path ./dalle.pt --text 'fireflies in a field under
 
 You should see your images saved as `./outputs/{your prompt}/{image number}.jpg`
 
+To generate multiple images, just pass in your text with '|' character as a separator.
+
+ex.
+
+```python
+$ python generate.py --dalle_path ./dalle.pt --text 'a dog chewing a bone|a cat chasing mice|a frog eating a fly'
+```
+
 ### Distributed Training
 
 #### DeepSpeed
diff --git a/generate.py b/generate.py
index cb699dba..13793d8e 100644
--- a/generate.py
+++ b/generate.py
@@ -88,24 +88,27 @@ def exists(val):
 
 image_size = vae.image_size
 
-text = tokenizer.tokenize([args.text], dalle.text_seq_len).cuda()
+texts = args.text.split('|')
 
-text = repeat(text, '() n -> b n', b = args.num_images)
+for text in tqdm(texts):
+    text = tokenizer.tokenize([args.text], dalle.text_seq_len).cuda()
 
-outputs = []
+    text = repeat(text, '() n -> b n', b = args.num_images)
 
-for text_chunk in tqdm(text.split(args.batch_size), desc = 'generating images'):
-    output = dalle.generate_images(text_chunk, filter_thres = args.top_k)
-    outputs.append(output)
+    outputs = []
 
-outputs = torch.cat(outputs)
+    for text_chunk in tqdm(text.split(args.batch_size), desc = f'generating images for - {text}'):
+        output = dalle.generate_images(text_chunk, filter_thres = args.top_k)
+        outputs.append(output)
 
-# save all images
+    outputs = torch.cat(outputs)
 
-outputs_dir = Path(args.outputs_dir) / args.text.replace(' ', '_')
-outputs_dir.mkdir(parents = True, exist_ok = True)
+    # save all images
 
-for i, image in tqdm(enumerate(outputs), desc = 'saving images'):
-    save_image(image, outputs_dir / f'{i}.jpg', normalize=True)
+    outputs_dir = Path(args.outputs_dir) / args.text.replace(' ', '_')
+    outputs_dir.mkdir(parents = True, exist_ok = True)
 
-print(f'created {args.num_images} images at "{str(outputs_dir)}"')
+    for i, image in tqdm(enumerate(outputs), desc = 'saving images'):
+        save_image(image, outputs_dir / f'{i}.jpg', normalize=True)
+
+    print(f'created {args.num_images} images at "{str(outputs_dir)}"')