diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..c5876a09343dbce112d843d23f2296c394ff2bd2 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,17 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +logs/20231117085552/wandb/run-20231117_085656-hf8ykeyx/files/media/images/sample_0_149_9acbaa99fb15c017cbb0.png filter=lfs diff=lfs merge=lfs -text +logs/20231117085552/wandb/run-20231117_085656-hf8ykeyx/files/media/images/sample_0_299_21ebb3119669773f9840.png filter=lfs diff=lfs merge=lfs -text +logs/20231117085552/wandb/run-20231117_085656-hf8ykeyx/files/media/images/sample_0_449_5d64336bece18f607be4.png filter=lfs diff=lfs merge=lfs -text +logs/20231117085552/wandb/run-20231117_085656-hf8ykeyx/files/media/images/sample_0_599_f33025ee89c6383b142f.png filter=lfs diff=lfs merge=lfs -text 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+output/rupid79_xllora/sample/rupid79_xllora_20231117100749_000600_00.png filter=lfs diff=lfs merge=lfs -text +output/rupid79_xllora/sample/rupid79_xllora_20231117102544_000750_00.png filter=lfs diff=lfs merge=lfs -text diff --git a/config/config_file.toml b/config/config_file.toml new file mode 100644 index 0000000000000000000000000000000000000000..06f65f9953e5d5088474dea41f0a4c00892cf51f --- /dev/null +++ b/config/config_file.toml @@ -0,0 +1,85 @@ +[sdxl_arguments] +cache_text_encoder_outputs = false +no_half_vae = true +min_timestep = 0 +max_timestep = 1000 +shuffle_caption = true +lowram = true + +[model_arguments] +pretrained_model_name_or_path = "gsdf/CounterfeitXL" +vae = "/content/vae/sdxl_vae.safetensors" +network_weights = "/content/LoRA/rupid79_xllora.safetensors" + +[dataset_arguments] +debug_dataset = false +in_json = "/content/LoRA/meta_lat.json" +train_data_dir = "/content/LoRA/train_data" +dataset_repeats = 5 +keep_tokens = 1 +resolution = "1024,1024" +color_aug = false +token_warmup_min = 1 +token_warmup_step = 0 + +[training_arguments] +output_dir = "/content/LoRA/output/rupid79_xllora" +output_name = "rupid79_xllora" +save_precision = "fp16" +save_every_n_epochs = 1 +train_batch_size = 4 +max_token_length = 225 +mem_eff_attn = false +sdpa = true +xformers = false +max_train_epochs = 10 +max_data_loader_n_workers = 8 +persistent_data_loader_workers = true +gradient_checkpointing = true +gradient_accumulation_steps = 1 +mixed_precision = "fp16" + +[logging_arguments] +log_with = "wandb" +log_tracker_name = "rupid79_xllora_2" +logging_dir = "/content/LoRA/logs" + +[sample_prompt_arguments] +sample_every_n_steps = 150 +sample_sampler = "euler_a" + +[saving_arguments] +save_model_as = "safetensors" + +[optimizer_arguments] +optimizer_type = "AdaFactor" +learning_rate = 4e-5 +max_grad_norm = 0 +optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",] +lr_scheduler = "constant_with_warmup" +lr_warmup_steps = 100 + +[additional_network_arguments] +no_metadata = false +network_module = "networks.lora" +network_dim = 32 +network_alpha = 16 +network_args = [] +network_train_unet_only = true + +[advanced_training_config] +save_state = false +save_last_n_epochs_state = true +caption_dropout_rate = 0 +caption_tag_dropout_rate = 0.5 +caption_dropout_every_n_epochs = 0 +min_snr_gamma = 5 + +[upload_arguments] +async_upload = true +huggingface_repo_id = "nekofura/rpd" +huggingface_repo_type = "model" +huggingface_path_in_repo = "/model" +huggingface_token = "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" +huggingface_repo_visibility = "public" + diff --git a/config/sample_prompt.toml b/config/sample_prompt.toml new file mode 100644 index 0000000000000000000000000000000000000000..f54bdc222b109de789e1622cb2bbae4584163311 --- /dev/null +++ b/config/sample_prompt.toml @@ -0,0 +1,12 @@ +[prompt] +negative_prompt = "3d render, smooth, plastic, blurry, grainy, low-resolution, deep-fried, oversaturated" +width = 1024 +height = 1024 +scale = 12 +sample_steps = 28 +[[prompt.subset]] +prompt = "1girl, long hair, breasts, large breasts, black hair, gloves, holding, cleavage, sitting, ponytail, weapon, holding weapon, lips, gun, bodysuit, makeup, lipstick, building, rifle, science fiction, aircraft, center opening, red lips, sniper rifle, head-mounted display, helicopter" + +[[prompt.subset]] +prompt = "solo, looking at viewer, 1boy, holding, standing, full body, weapon, white hair, male focus, sword, dark skin, cape, holding weapon, armor, glowing, holding sword, shoulder armor, gauntlets, pauldrons, breastplate, red cape, greaves, glowing weapon, black armor, glowing sword, flaming sword" + diff --git a/logs/20231117083158/wandb/debug-internal.log b/logs/20231117083158/wandb/debug-internal.log new file mode 100644 index 0000000000000000000000000000000000000000..d35e1ed0bfd37f734df1d5989d978b485b91cb00 --- /dev/null +++ b/logs/20231117083158/wandb/debug-internal.log @@ -0,0 +1,824 @@ +2023-11-17 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Tried to allocate 20.00 MiB (GPU 0; 14.75 GiB total capacity; 12.92 GiB already allocated; 18.81 MiB free; 13.46 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF + ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ +│ /content/kohya-trainer/sdxl_train_network.py:174 in  │ +│ │ +│ 171 │ args = train_util.read_config_from_file(args, parser) │ +│ 172 │ │ +│ 173 │ trainer = SdxlNetworkTrainer() │ +│ ❱ 174 │ trainer.train(args) │ +│ 175 │ +│ │ +│ /content/kohya-trainer/train_network.py:878 in train │ +│ │ +│ 875 │ │ │ │ │ │ remove_model(remove_ckpt_name) │ +│ 876 │ │ │ │ │ │ +│ 877 │ │ │ │ │ if args.save_state: │ +│ ❱ 878 │ │ │ │ │ │ train_util.save_and_remove_state_on_epoch_end(args, accelerator, │ +│ 879 │ │ │ │ +│ 880 │ │ │ self.sample_images(accelerator, args, epoch + 1, global_step, accelerator.de │ +│ 881 │ +│ │ +│ /content/kohya-trainer/library/train_util.py:3967 in save_and_remove_state_on_epoch_end │ +│ │ +│ 3964 │ os.makedirs(args.output_dir, exist_ok=True) │ +│ 3965 │ │ +│ 3966 │ state_dir = os.path.join(args.output_dir, EPOCH_STATE_NAME.format(model_name, epoch_ │ +│ ❱ 3967 │ accelerator.save_state(state_dir) │ +│ 3968 │ if args.save_state_to_huggingface: │ +│ 3969 │ │ print("uploading state to huggingface.") │ +│ 3970 │ │ huggingface_util.upload(args, state_dir, "/" + EPOCH_STATE_NAME.format(model_nam │ +│ │ +│ /usr/local/lib/python3.10/dist-packages/accelerate/accelerator.py:2314 in save_state │ +│ │ +│ 2311 │ │ │ │ model.save_checkpoint(output_dir) │ +│ 2312 │ │ │ │ logger.info(f"Megatron-LM Model , Optimizer and Scheduler saved to outpu │ +│ 2313 │ │ │ else: │ +│ ❱ 2314 │ │ │ │ weights.append(self.get_state_dict(model, unwrap=False)) │ +│ 2315 │ │ │ +│ 2316 │ │ # Save the optimizers taking care of FSDP and DeepSpeed nuances │ +│ 2317 │ │ optimizers = [] │ +│ │ +│ /usr/local/lib/python3.10/dist-packages/accelerate/accelerator.py:2603 in get_state_dict │ +│ │ +│ 2600 │ │ if state_dict is not None: │ +│ 2601 │ │ │ for k in state_dict: │ +│ 2602 │ │ │ │ if getattr(state_dict[k], "dtype", None) == torch.float16: │ +│ ❱ 2603 │ │ │ │ │ state_dict[k] = state_dict[k].float() │ +│ 2604 │ │ │ +│ 2605 │ │ return state_dict │ +│ 2606 │ +╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ +OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 14.75 GiB total capacity; +12.92 GiB already allocated; 18.81 MiB free; 13.46 GiB reserved in total by PyTorch) If reserved +memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See +documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF + + + + +Upload 1 LFS files: 100% 1/1 [00:08<00:00, 8.88s/it]:06<00:00, 36.8MB/s] \ No newline at end of file diff --git a/logs/20231117083158/wandb/run-20231117_083359-f858xji5/files/requirements.txt b/logs/20231117083158/wandb/run-20231117_083359-f858xji5/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffaf56b4164e6c9185ba974917eb487a9bf943fd --- /dev/null +++ b/logs/20231117083158/wandb/run-20231117_083359-f858xji5/files/requirements.txt @@ -0,0 +1,556 @@ +absl-py==1.4.0 +accelerate==0.19.0 +aiohttp==3.8.6 +aiosignal==1.3.1 +alabaster==0.7.13 +albumentations==1.3.1 +altair==4.2.2 +antlr4-python3-runtime==4.9.3 +anyio==3.7.1 +appdirs==1.4.4 +argon2-cffi-bindings==21.2.0 +argon2-cffi==23.1.0 +array-record==0.5.0 +arviz==0.15.1 +astropy==5.3.4 +astunparse==1.6.3 +async-timeout==4.0.3 +atpublic==4.0 +attrs==23.1.0 +audioread==3.0.1 +autograd==1.6.2 +babel==2.13.1 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'version': 'latest'} +2023-11-17 08:43:56,385 DEBUG SenderThread:5676 [sender.py:send_request():406] send_request: defer +2023-11-17 08:43:56,385 INFO SenderThread:5676 [sender.py:send_request_defer():608] handle sender defer: 9 +2023-11-17 08:43:56,386 INFO SenderThread:5676 [dir_watcher.py:finish():359] shutting down directory watcher +2023-11-17 08:43:56,765 INFO SenderThread:5676 [dir_watcher.py:finish():389] scan: /content/LoRA/logs/20231117083158/wandb/run-20231117_083359-f858xji5/files +2023-11-17 08:43:56,765 INFO SenderThread:5676 [dir_watcher.py:finish():403] scan save: /content/LoRA/logs/20231117083158/wandb/run-20231117_083359-f858xji5/files/config.yaml config.yaml +2023-11-17 08:43:56,766 INFO SenderThread:5676 [dir_watcher.py:finish():403] scan save: /content/LoRA/logs/20231117083158/wandb/run-20231117_083359-f858xji5/files/output.log output.log +2023-11-17 08:43:56,768 INFO SenderThread:5676 [dir_watcher.py:finish():403] scan save: 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