stable diffusion depth batching fix (#2757)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py

@@ -474,7 +474,8 @@ class StableDiffusionDepth2ImgPipeline(DiffusionPipeline):
 
         # duplicate mask and masked_image_latents for each generation per prompt, using mps friendly method
         if depth_map.shape[0] < batch_size:
-            depth_map = depth_map.repeat(batch_size, 1, 1, 1)
+            repeat_by = batch_size // depth_map.shape[0]
+            depth_map = depth_map.repeat(repeat_by, 1, 1, 1)
 
         depth_map = torch.cat([depth_map] * 2) if do_classifier_free_guidance else depth_map
         return depth_map

tests/pipelines/stable_diffusion_2/test_stable_diffusion_depth.py

@@ -64,7 +64,7 @@ class StableDiffusionDepth2ImgPipelineFastTests(PipelineTesterMixin, unittest.Te
     test_save_load_optional_components = False
     params = TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {"height", "width"}
     required_optional_params = PipelineTesterMixin.required_optional_params - {"latents"}
-    batch_params = TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS - {"image"}
+    batch_params = TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)