diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index 73c3fcc09..64eb8eebe 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -230,10 +230,11 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
         is_img2img_model = bool('Zero123' in shared.sd_model.__class__.__name__)
         if sd_models.get_diffusers_task(model) == sd_models.DiffusersTaskType.TEXT_2_IMAGE and not is_img2img_model:
             p.ops.append('txt2img')
-            task_args = {
-                'height': 8 * math.ceil(p.height / 8),
-                'width': 8 * math.ceil(p.width / 8),
-            }
+            if hasattr(p, 'width') and hasattr(p, 'height'):
+                task_args = {
+                    'width': 8 * math.ceil(p.width / 8),
+                    'height': 8 * math.ceil(p.height / 8),
+                }
         elif (sd_models.get_diffusers_task(model) == sd_models.DiffusersTaskType.IMAGE_2_IMAGE or is_img2img_model) and len(getattr(p, 'init_images' ,[])) > 0:
             p.ops.append('img2img')
             task_args = {
@@ -243,8 +244,8 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
         elif sd_models.get_diffusers_task(model) == sd_models.DiffusersTaskType.INSTRUCT and len(getattr(p, 'init_images' ,[])) > 0:
             p.ops.append('instruct')
             task_args = {
-                'height': 8 * math.ceil(p.height / 8),
                 'width': 8 * math.ceil(p.width / 8),
+                'height': 8 * math.ceil(p.height / 8),
                 'image': p.init_images,
                 'strength': p.denoising_strength,
             }