1 files changed, 1 insertions, 6 deletions

diff --git a/pipelines/stable_diffusion/vlpn_stable_diffusion.py b/pipelines/stable_diffusion/vlpn_stable_diffusion.py
index d6b1cb1..85b0216 100644
--- a/pipelines/stable_diffusion/vlpn_stable_diffusion.py
+++ b/pipelines/stable_diffusion/vlpn_stable_diffusion.py
@@ -245,10 +245,7 @@ class VlpnStableDiffusion(DiffusionPipeline):
         init_latents = init_latent_dist.sample(generator=generator)
         init_latents = 0.18215 * init_latents
 
-        if batch_size > init_latents.shape[0] and batch_size % init_latents.shape[0] == 0:
-            additional_image_per_prompt = batch_size // init_latents.shape[0]
-            init_latents = torch.cat([init_latents] * additional_image_per_prompt * num_images_per_prompt, dim=0)
-        elif batch_size > init_latents.shape[0] and batch_size % init_latents.shape[0] != 0:
+        if batch_size > init_latents.shape[0]:
             raise ValueError(
                 f"Cannot duplicate `init_image` of batch size {init_latents.shape[0]} to {batch_size} text prompts."
             )
@@ -367,8 +364,6 @@ class VlpnStableDiffusion(DiffusionPipeline):
         do_classifier_free_guidance = guidance_scale > 1.0
         latents_are_image = isinstance(latents_or_image, PIL.Image.Image)
 
-        print(f">>> {device}")
-
         # 3. Encode input prompt
         text_embeddings = self.encode_prompt(
             prompt,