From d865824533711a85d129a54a2be3d06bda9764eb Mon Sep 17 00:00:00 2001 From: DKnight54 <126916963+DKnight54@users.noreply.github.com> Date: Sun, 9 Feb 2025 00:21:00 +0800 Subject: [PATCH] Update accel_sdxl_gen_img.py --- accel_sdxl_gen_img.py | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/accel_sdxl_gen_img.py b/accel_sdxl_gen_img.py index b4b33541..8c92e31e 100644 --- a/accel_sdxl_gen_img.py +++ b/accel_sdxl_gen_img.py @@ -2169,7 +2169,7 @@ def main(args): batch_1st.append(BatchData(is_1st_latent, global_count, base, ext_1st)) pipe.set_enable_control_net(True) # 1st stageではControlNetを有効にする - images_1st = process_batch(batch_1st, distributed_state, True, True) + images_1st, _, _ = process_batch(batch_1st, distributed_state, True, True) # 2nd stageのバッチを作成して以下処理する logger.info("process 2nd stage") @@ -2377,7 +2377,7 @@ def main(args): clip_guide_images=guide_images, ) if highres_1st and not args.highres_fix_save_1st: # return images or latents - return images + return images, None, None # save image ''' @@ -2454,7 +2454,7 @@ def main(args): ) #distributed_state.wait_for_everyone() - return (images, metadatas, filenames) + return images, metadatas, filenames # 画像生成のプロンプトが一周するまでのループ prompt_index = 0 @@ -2964,11 +2964,10 @@ def main(args): for i in range(len(batches[j])): batchlogstr += f"\nImage: {batches[j][i].global_count}\nDevice {distributed_state.device}: Prompt {i+1}: {batches[j][i].base.prompt}\nNegative Prompt: {batches[j][i].base.negative_prompt}\nSeed: {batches[j][i].base.seed}" logger.info(batchlogstr) - test = process_batch(batch_list[j], distributed_state, highres_fix)[0] - logger.info(f"test: {len(test)}") - prev_image = test[0] - prev_metadata = test[1] - prev_filename = test[2] + prev_image, prev_metadata, prev_filename = process_batch(batch_list[j], distributed_state, highres_fix)[0] + logger.info(f"prev_image: {len(prev_image)}") + logger.info(f"prev_metadata: {len(prev_metadata)}") + logger.info(f"prev_filename: {len(prev_filename)}") distributed_state.wait_for_everyone() all_images = gather_object(prev_image)