Creating a model fails

[PyroFD3S]

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Please find the following lines in the console and paste them below. If you do not provide this information, your issue will be automatically closed.

` Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)] Commit hash: 3e20244b0fea10988cf5ad8a2fbe190ac47a5049 Installing requirements for Web UI Skipping dreambooth installation. Dreambooth revision is [+] bitsandbytes version 0.35.0 installed. [+] diffusers version 0.10.2 installed. [+] transformers version 4.25.1 installed. [+] xformers version 0.0.14.dev0 installed. [+] torch version 1.12.1+cu113 installed. [+] torchvision version 0.13.1+cu113 installed.

Have you read the Readme? yes Have you completely restarted the stable-diffusion-webUI, not just reloaded the UI? yes Have you updated Dreambooth to the latest revision? yes Have you updated the Stable-Diffusion-WebUI to the latest version? yes No, really. Please save us both some trouble and update the SD-WebUI and Extension and restart before posting this. Reply 'OK' Below to acknowledge that you did this. ok Describe the bug try to create a model get error, seems to create a few folders, clicking on train gives another error Exception training model: 'max() arg is an empty sequence'.

Provide logs Loading model from checkpoint. Loading checkpoint... v2 model loaded. Converting unet... Converting vae... Converting text encoder... Exception setting up output: Can't load tokenizer for 'stabilityai/stable-diffusion-2'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'stabilityai/stable-diffusion-2' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer. Traceback (most recent call last): File "E:\sd\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\sd_to_diff.py", line 935, in extract_checkpoint tokenizer = CLIPTokenizer.from_pretrained("stabilityai/stable-diffusion-2", subfolder="tokenizer") File "E:\sd\stable-diffusion-webui\venv\lib\site-packages\transformers\tokenization_utils_base.py", line 1785, in from_pretrained raise EnvironmentError( OSError: Can't load tokenizer for 'stabilityai/stable-diffusion-2'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'stabilityai/stable-diffusion-2' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer. Pipeline or config is not set, unable to continue. Can't load config! Traceback (most recent call last): File "E:\sd\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 321, in run_predict output = await app.blocks.process_api( File "E:\sd\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1016, in process_api data = self.postprocess_data(fn_index, result["prediction"], state) File "E:\sd\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 945, in postprocess_data if predictions[i] is components._Keywords.FINISHED_ITERATING: IndexError: tuple index out of range

If a crash has occurred, please provide the entire stack trace from the log, including the last few log messages before the crash occurred.

Environment

What OS? Windows 10

If Windows - WSL or native? Native

What GPU are you using? RTX 3080

Screenshots/Config { "attention": "xformers", "cache_latents": true, "center_crop": false, "clip_skip": 1, "concepts_path": "", "custom_model_name": "", "epoch": 0, "epoch_pause_frequency": 0.0, "epoch_pause_time": 60.0, "gradient_accumulation_steps": 1, "gradient_checkpointing": true, "gradient_set_to_none": true, "graph_smoothing": 50.0, "half_model": false, "hflip": false, "learning_rate": 2e-06, "learning_rate_min": 1e-06, "lora_learning_rate": 0.0002, "lora_model_name": "", "lora_txt_learning_rate": 0.0002, "lora_txt_weight": 1, "lora_weight": 1, "lr_cycles": 1, "lr_factor": 0.5, "lr_power": 1, "lr_scale_pos": 0.5, "lr_scheduler": "constant_with_warmup", "lr_warmup_steps": 0, "max_token_length": 75, "mixed_precision": "fp16", "model_dir": "E:\sd\stable-diffusion-webui\models\dreambooth\FabianDBphoto", "model_name": "FabianDBphoto", "num_train_epochs": 150, "pad_tokens": true, "pretrained_model_name_or_path": "E:\sd\stable-diffusion-webui\models\dreambooth\FabianDBphoto\working", "pretrained_vae_name_or_path": "", "prior_loss_weight": 1, "resolution": 512, "revision": 0, "sample_batch_size": 1, "sanity_prompt": "", "sanity_seed": 420420.0, "save_ckpt_after": true, "save_ckpt_cancel": false, "save_ckpt_during": false, "save_embedding_every": 0, "save_lora_after": true, "save_lora_cancel": false, "save_lora_during": false, "save_preview_every": 0, "save_state_after": false, "save_state_cancel": false, "save_state_during": false, "src": "E:\sd\stable-diffusion-webui\models\Stable-diffusion\768-v-ema.ckpt", "shuffle_tags": true, "train_batch_size": 1, "train_imagic": false, "stop_text_encoder": 1, "use_8bit_adam": true, "use_concepts": false, "use_ema": false, "use_lora": false, "use_subdir": true, "scheduler": "ddim", "v2": true, "has_ema": "False", "concepts_list": [ { "instance_data_dir": "E:\sd\FabianDBPhoto", "class_data_dir": "", "instance_prompt": "photo of fabianchung person", "class_prompt": "photo of person", "save_sample_prompt": "", "save_sample_template": "", "instance_token": "", "class_token": "", "num_class_images": 0, "num_class_images_per": 19, "class_negative_prompt": "", "class_guidance_scale": 7.5, "class_infer_steps": 40, "save_sample_negative_prompt": "", "n_save_sample": 1, "sample_seed": -1, "save_guidance_scale": 7.5, "save_infer_steps": 40 } ], "lifetime_revision": 0 }

[PyroFD3S]

PEBCAK

[CJohnDesign]

I am still having problems creating a model from the dreambooth extension.

Loading model from checkpoint.
Loading checkpoint...
Exception setting up output: Ran out of input
Traceback (most recent call last):
  File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd_dreambooth_extension/dreambooth/sd_to_diff.py", line 800, in extract_checkpoint
    checkpoint = torch.load(ckpt_path)
  File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd_dreambooth_extension/reallysafe.py", line 117, in load
    return load_with_extra(filename, *args, **kwargs)
  File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd_dreambooth_extension/reallysafe.py", line 164, in load_with_extra
    return unsafe_torch_load(filename, *args, **kwargs)
  File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/safe.py", line 106, in load
    return load_with_extra(filename, extra_handler=global_extra_handler, *args, **kwargs)
  File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/safe.py", line 151, in load_with_extra
    return unsafe_torch_load(filename, *args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 795, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 1002, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
EOFError: Ran out of input
Pipeline or config is not set, unable to continue.