finetune_instruct_pix2pix.py [1083:1099]:
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                    for _ in range(args.num_validation_images):
                        edited_images.append(
                            pipeline(
                                args.validation_prompt,
                                image=original_image,
                                num_inference_steps=20,
                                image_guidance_scale=1.5,
                                guidance_scale=7,
                                generator=generator,
                            ).images[0]
                        )

                for tracker in accelerator.trackers:
                    if tracker.name == "wandb":
                        wandb_table = wandb.Table(columns=WANDB_TABLE_COL_NAMES)
                        for edited_image in edited_images:
                            wandb_table.add_data(
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train_instruct_pix2pix.py [928:944]:
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                    for _ in range(args.num_validation_images):
                        edited_images.append(
                            pipeline(
                                args.validation_prompt,
                                image=original_image,
                                num_inference_steps=20,
                                image_guidance_scale=1.5,
                                guidance_scale=7,
                                generator=generator,
                            ).images[0]
                        )

                for tracker in accelerator.trackers:
                    if tracker.name == "wandb":
                        wandb_table = wandb.Table(columns=WANDB_TABLE_COL_NAMES)
                        for edited_image in edited_images:
                            wandb_table.add_data(
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