diff --git a/modules/processing.py b/modules/processing.py
index cb64d352e..f6732e50d 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -1089,8 +1089,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
             image = np.array(image).astype(np.float32) / 255.0
             image = np.moveaxis(image, 2, 0)
             imgs.append(image)
-        if shared.backend == shared.Backend.DIFFUSERS:
-            self.init_images = unprocessed # assign early for diffusers
+        self.init_images = unprocessed if shared.backend == shared.Backend.DIFFUSERS else imgs
         if len(imgs) == 1:
             batch_images = np.expand_dims(imgs[0], axis=0).repeat(self.batch_size, axis=0)
             if self.overlay_images is not None:
diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index 9686f9ae3..b0dccfbfd 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -162,7 +162,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
         sd_samplers.create_sampler(sampler.name, shared.sd_model) # TODO(Patrick): For wrapped pipelines this is currently a no-op
 
     cross_attention_kwargs={}
-    if p.init_images is not None and len(p.init_images) > 0:
+    if len(getattr(p, 'init_images', [])) > 0:
         while len(p.init_images) < len(prompts):
             p.init_images.append(p.init_images[-1])
     if lora_state['active']: