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Fix Flux2ImageProcessor AttributeError in train_dreambooth_lora_flux2… #12815

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Fix Flux2ImageProcessor AttributeError in train_dreambooth_lora_flux2… #12815

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7 changes: 5 additions & 2 deletions examples/dreambooth/train_dreambooth_lora_flux2_img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -741,6 +741,9 @@ def __init__(

self.buckets = buckets

# Initialize image processor for condition image preprocessing
self.image_processor = Flux2ImageProcessor()

# if --dataset_name is provided or a metadata jsonl file is provided in the local --instance_data directory,
# we load the training data using load_dataset
if args.dataset_name is not None:
Expand Down Expand Up @@ -827,13 +830,13 @@ def __init__(
dest_image = self.cond_images[i]
image_width, image_height = dest_image.size
if image_width * image_height > 1024 * 1024:
dest_image = Flux2ImageProcessor.image_processor._resize_to_target_area(dest_image, 1024 * 1024)
dest_image = self.image_processor._resize_to_target_area(dest_image, 1024 * 1024)
image_width, image_height = dest_image.size

multiple_of = 2 ** (4 - 1) # 2 ** (len(vae.config.block_out_channels) - 1), temp!
image_width = (image_width // multiple_of) * multiple_of
image_height = (image_height // multiple_of) * multiple_of
dest_image = Flux2ImageProcessor.image_processor.preprocess(
dest_image = self.image_processor.preprocess(
dest_image, height=image_height, width=image_width, resize_mode="crop"
)

Expand Down