Fix Callback Tensor Inputs of the SD Controlnet Pipelines are missing some elements. (#10907)

* Update pipeline_controlnet_img2img.py

* Update pipeline_controlnet_inpaint.py

* Update pipeline_controlnet.py

---------

src/diffusers/pipelines/controlnet/pipeline_controlnet.py

@@ -207,7 +207,7 @@ class StableDiffusionControlNetPipeline(
     model_cpu_offload_seq = "text_encoder->image_encoder->unet->vae"
     _optional_components = ["safety_checker", "feature_extractor", "image_encoder"]
     _exclude_from_cpu_offload = ["safety_checker"]
-    _callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds"]
+    _callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds", "image"]
 
     def __init__(
         self,
@@ -1323,6 +1323,7 @@ class StableDiffusionControlNetPipeline(
                     latents = callback_outputs.pop("latents", latents)
                     prompt_embeds = callback_outputs.pop("prompt_embeds", prompt_embeds)
                     negative_prompt_embeds = callback_outputs.pop("negative_prompt_embeds", negative_prompt_embeds)
+                    image = callback_outputs.pop("image", image)
 
                 # call the callback, if provided
                 if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):

src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py

@@ -185,7 +185,7 @@ class StableDiffusionControlNetImg2ImgPipeline(
     model_cpu_offload_seq = "text_encoder->unet->vae"
     _optional_components = ["safety_checker", "feature_extractor", "image_encoder"]
     _exclude_from_cpu_offload = ["safety_checker"]
-    _callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds"]
+    _callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds", "control_image"]
 
     def __init__(
         self,
@@ -1294,6 +1294,7 @@ class StableDiffusionControlNetImg2ImgPipeline(
                     latents = callback_outputs.pop("latents", latents)
                     prompt_embeds = callback_outputs.pop("prompt_embeds", prompt_embeds)
                     negative_prompt_embeds = callback_outputs.pop("negative_prompt_embeds", negative_prompt_embeds)
+                    control_image = callback_outputs.pop("control_image", control_image)
 
                 # call the callback, if provided
                 if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):

src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py

@@ -184,7 +184,7 @@ class StableDiffusionControlNetInpaintPipeline(
     model_cpu_offload_seq = "text_encoder->image_encoder->unet->vae"
     _optional_components = ["safety_checker", "feature_extractor", "image_encoder"]
     _exclude_from_cpu_offload = ["safety_checker"]
-    _callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds"]
+    _callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds", "control_image"]
 
     def __init__(
         self,
@@ -1476,6 +1476,7 @@ class StableDiffusionControlNetInpaintPipeline(
                     latents = callback_outputs.pop("latents", latents)
                     prompt_embeds = callback_outputs.pop("prompt_embeds", prompt_embeds)
                     negative_prompt_embeds = callback_outputs.pop("negative_prompt_embeds", negative_prompt_embeds)
+                    control_image = callback_outputs.pop("control_image", control_image)
 
                 # call the callback, if provided
                 if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):