making formatted_images initialization compact (huggingface#10801)

compact writing

Co-authored-by: Sayak Paul <[email protected]>
Co-authored-by: YiYi Xu <[email protected]>

Author: 3 people

examples/controlnet/train_controlnet.py

@@ -152,9 +152,7 @@ def log_validation(
                 validation_prompt = log["validation_prompt"]
                 validation_image = log["validation_image"]
 
-                formatted_images = []
-
-                formatted_images.append(np.asarray(validation_image))
+                formatted_images = [np.asarray(validation_image)]
 
                 for image in images:
                     formatted_images.append(np.asarray(image))

examples/controlnet/train_controlnet_flux.py

@@ -166,9 +166,7 @@ def log_validation(
                 validation_prompt = log["validation_prompt"]
                 validation_image = log["validation_image"]
 
-                formatted_images = []
-
-                formatted_images.append(np.asarray(validation_image))
+                formatted_images = [np.asarray(validation_image)]
 
                 for image in images:
                     formatted_images.append(np.asarray(image))

examples/controlnet/train_controlnet_sdxl.py

@@ -157,9 +157,7 @@ def log_validation(vae, unet, controlnet, args, accelerator, weight_dtype, step,
                 validation_prompt = log["validation_prompt"]
                 validation_image = log["validation_image"]
 
-                formatted_images = []
-
-                formatted_images.append(np.asarray(validation_image))
+                formatted_images = [np.asarray(validation_image)]
 
                 for image in images:
                     formatted_images.append(np.asarray(image))

examples/research_projects/controlnet/train_controlnet_webdataset.py

@@ -381,9 +381,7 @@ def log_validation(vae, unet, controlnet, args, accelerator, weight_dtype, step)
                 validation_prompt = log["validation_prompt"]
                 validation_image = log["validation_image"]
 
-                formatted_images = []
-
-                formatted_images.append(np.asarray(validation_image))
+                formatted_images = [np.asarray(validation_image)]
 
                 for image in images:
                     formatted_images.append(np.asarray(image))

examples/research_projects/pixart/train_pixart_controlnet_hf.py

@@ -164,9 +164,7 @@ def log_validation(
                 validation_prompt = log["validation_prompt"]
                 validation_image = log["validation_image"]
 
-                formatted_images = []
-
-                formatted_images.append(np.asarray(validation_image))
+                formatted_images = [np.asarray(validation_image)]
 
                 for image in images:
                     formatted_images.append(np.asarray(image))

examples/t2i_adapter/train_t2i_adapter_sdxl.py

@@ -141,9 +141,7 @@ def log_validation(vae, unet, adapter, args, accelerator, weight_dtype, step):
                 validation_prompt = log["validation_prompt"]
                 validation_image = log["validation_image"]
 
-                formatted_images = []
-
-                formatted_images.append(np.asarray(validation_image))
+                formatted_images = [np.asarray(validation_image)]
 
                 for image in images:
                     formatted_images.append(np.asarray(image))