Repository: stable-diffusion-webui
Issue: [Bug]: User friendly error message: Error: PytorchStreamReader failed reading zip archive: failed finding central directory. Please, check your schedules/ init values.
Labels: bug-report

### Is there an existing issue for this?

- [X] I have searched the existing issues and checked the recent builds/commits

### What happened?

When using Deforum, it keeps giving errors, if the same version of Rio is installed on another system, it works without problems.

### Steps to reproduce the problem

https://www.youtube.com/watch?v=9Xy0HJ4iNy4

### What should have happened?

It should give an animation output

### Sysinfo

{
    "Platform": "Windows-10-10.0.19045-SP0",
    "Python": "3.10.6",
    "Version": "v1.6.0",
    "Commit": "5ef669de080814067961f28357256e8fe27544f4",
    "Script path": "P:\\stable diffusion\\stable-diffusion-webui",
    "Data path": "P:\\stable diffusion\\stable-diffusion-webui",
    "Extensions dir": "P:\\stable diffusion\\stable-diffusion-webui\\extensions",
    "Checksum": "85c326a220eff26ae4ebf0b3fb3b40134d85a8cf7cc4428cd908a60b2fd3092e",
    "Commandline": [
        "launch.py",
        "--xformers",
        "--disable-safe-unpickle",
        "--lowvram"
    ],
    "Torch env info": "'NoneType' object has no attribute 'splitlines'",
    "Exceptions": [
        {
            "exception": "A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
            "traceback": [
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\img2img.py, line 208, img2img",
                    "processed = process_images(p)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 732, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-controlnet\\scripts\\batch_hijack.py, line 42, processing_process_images_hijack",
                    "return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 867, process_images_inner",
                    "samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-controlnet\\scripts\\hook.py, line 451, process_sample",
                    "return process.sample_before_CN_hack(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 1528, sample",
                    "samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_kdiffusion.py, line 188, sample_img2img",
                    "samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_common.py, line 261, launch_sampling",
                    "return func()"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_kdiffusion.py, line 188, <lambda>",
                    "samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
                    "return func(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\repositories\\k-diffusion\\k_diffusion\\sampling.py, line 145, sample_euler_ancestral",
                    "denoised = model(x, sigmas[i] * s_in, **extra_args)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\nn\\modules\\module.py, line 1501, _call_impl",
                    "return forward_call(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_cfg_denoiser.py, line 201, forward",
                    "devices.test_for_nans(x_out, \"unet\")"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\devices.py, line 136, test_for_nans",
                    "raise NansException(message)"
                ]
            ]
        },
        {
            "exception": "A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
            "traceback": [
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\img2img.py, line 208, img2img",
                    "processed = process_images(p)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 732, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-controlnet\\scripts\\batch_hijack.py, line 42, processing_process_images_hijack",
                    "return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 867, process_images_inner",
                    "samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-controlnet\\scripts\\hook.py, line 451, process_sample",
                    "return process.sample_before_CN_hack(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 1528, sample",
                    "samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_kdiffusion.py, line 188, sample_img2img",
                    "samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_common.py, line 261, launch_sampling",
                    "return func()"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_kdiffusion.py, line 188, <lambda>",
                    "samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
                    "return func(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\repositories\\k-diffusion\\k_diffusion\\sampling.py, line 145, sample_euler_ancestral",
                    "denoised = model(x, sigmas[i] * s_in, **extra_args)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\nn\\modules\\module.py, line 1501, _call_impl",
                    "return forward_call(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_cfg_denoiser.py, line 201, forward",
                    "devices.test_for_nans(x_out, \"unet\")"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\devices.py, line 136, test_for_nans",
                    "raise NansException(message)"
                ]
            ]
        },
        {
            "exception": "A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
            "traceback": [
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\img2img.py, line 208, img2img",
                    "processed = process_images(p)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 732, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-controlnet\\scripts\\batch_hijack.py, line 42, processing_process_images_hijack",
                    "return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 867, process_images_inner",
                    "samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-controlnet\\scripts\\hook.py, line 451, process_sample",
                    "return process.sample_before_CN_hack(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\processing.py, line 1528, sample",
                    "samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_kdiffusion.py, line 188, sample_img2img",
                    "samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_common.py, line 261, launch_sampling",
                    "return func()"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_kdiffusion.py, line 188, <lambda>",
                    "samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
                    "return func(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\repositories\\k-diffusion\\k_diffusion\\sampling.py, line 145, sample_euler_ancestral",
                    "denoised = model(x, sigmas[i] * s_in, **extra_args)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\nn\\modules\\module.py, line 1501, _call_impl",
                    "return forward_call(*args, **kwargs)"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\sd_samplers_cfg_denoiser.py, line 201, forward",
                    "devices.test_for_nans(x_out, \"unet\")"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\devices.py, line 136, test_for_nans",
                    "raise NansException(message)"
                ]
            ]
        },
        {
            "exception": "[WinError 21] The device is not ready: 'D:\\\\'",
            "traceback": [
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\modules\\script_callbacks.py, line 166, ui_tabs_callback",
                    "res += c.callback() or []"
                ],
                [
                    "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\SadTalker\\scripts\\extension.py, line 170, on_ui_tabs",
                    "os.makedirs(result_dir, exist_ok=True)"
                ],
                [
                    "C:\\Users\\AHY\\AppData\\Local\\Programs\\Python\\Python310\\lib\\os.py, line 215, makedirs",
                    "makedirs(head, exist_ok=exist_ok)"
                ],
                [
                    "C:\\Users\\AHY\\AppData\\Local\\Programs\\Python\\Python310\\lib\\os.py, line 215, makedirs",
                    "makedirs(head, exist_ok=exist_ok)"
                ],
                [
                    "C:\\Users\\AHY\\AppData\\Local\\Programs\\Python\\Python310\\lib\\os.py, line 215, makedirs",
                    "makedirs(head, exist_ok=exist_ok)"
                ],
                [
                    "C:\\Users\\AHY\\AppData\\Local\\Programs\\Python\\Python310\\lib\\os.py, line 215, makedirs",
                    "makedirs(head, exist_ok=exist_ok)"
                ],
                [
                    "C:\\Users\\AHY\\AppData\\Local\\Programs\\Python\\Python310\\lib\\os.py, line 225, makedirs",
                    "mkdir(name, mode)"
                ]
            ]
        }
    ],
    "CPU": {
        "model": "Intel64 Family 6 Model 158 Stepping 10, GenuineIntel",
        "count logical": 6,
        "count physical": 6
    },
    "RAM": {
        "total": "32GB",
        "used": "12GB",
        "free": "20GB"
    },
    "Extensions": [
        {
            "name": "Abysz-LAB-Ext",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\Abysz-LAB-Ext",
            "version": "deff0d4b",
            "branch": "main",
            "remote": "https://github.com/AbyszOne/Abysz-LAB-Ext.git"
        },
        {
            "name": "SadTalker",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\SadTalker",
            "version": "cd4c0465",
            "branch": "main",
            "remote": "https://github.com/OpenTalker/SadTalker.git"
        },
        {
            "name": "Stable-Diffusion-Webui-Civitai-Helper",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\Stable-Diffusion-Webui-Civitai-Helper",
            "version": "ab8cac22",
            "branch": "main",
            "remote": "https://github.com/butaixianran/Stable-Diffusion-Webui-Civitai-Helper"
        },
        {
            "name": "TemporalKit",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\TemporalKit",
            "version": "f46d255c",
            "branch": "main",
            "remote": "https://github.com/CiaraStrawberry/TemporalKit.git"
        },
        {
            "name": "a1111-stable-diffusion-webui-vram-estimator",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\a1111-stable-diffusion-webui-vram-estimator",
            "version": "8ecde47f",
            "branch": "master",
            "remote": "https://github.com/space-nuko/a1111-stable-diffusion-webui-vram-estimator.git"
        },
        {
            "name": "canvas-zoom",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\canvas-zoom",
            "version": "36762c01",
            "branch": "main",
            "remote": "https://github.com/richrobber2/canvas-zoom.git"
        },
        {
            "name": "deforum-for-automatic1111-webui",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\deforum-for-automatic1111-webui",
            "version": "8dcb1394",
            "branch": "automatic1111-webui",
            "remote": "https://github.com/deforum-art/deforum-for-automatic1111-webui.git"
        },
        {
            "name": "ebsynth_utility",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\ebsynth_utility",
            "version": "8ff9fbf2",
            "branch": "main",
            "remote": "https://github.com/s9roll7/ebsynth_utility.git"
        },
        {
            "name": "infinite-zoom-automatic1111-webui",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\infinite-zoom-automatic1111-webui",
            "version": "d6461e7d",
            "branch": "main",
            "remote": "https://github.com/v8hid/infinite-zoom-automatic1111-webui.git"
        },
        {
            "name": "multidiffusion-upscaler-for-automatic1111",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\multidiffusion-upscaler-for-automatic1111",
            "version": "61c8114b",
            "branch": "main",
            "remote": "https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111.git"
        },
        {
            "name": "openpose-editor",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\openpose-editor",
            "version": "c9357715",
            "branch": "master",
            "remote": "https://github.com/fkunn1326/openpose-editor.git"
        },
        {
            "name": "sd-webui-controlnet",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-controlnet",
            "version": "e382d161",
            "branch": "main",
            "remote": "https://github.com/Mikubill/sd-webui-controlnet.git"
        },
        {
            "name": "sd-webui-infinite-image-browsing",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-infinite-image-browsing",
            "version": "add16701",
            "branch": "main",
            "remote": "https://github.com/zanllp/sd-webui-infinite-image-browsing.git"
        },
        {
            "name": "sd-webui-openpose-editor",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-openpose-editor",
            "version": "be6f54fa",
            "branch": "main",
            "remote": "https://github.com/huchenlei/sd-webui-openpose-editor"
        },
        {
            "name": "sd-webui-roop",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-roop",
            "version": "9a16e728",
            "branch": "main",
            "remote": "https://github.com/s0md3v/sd-webui-roop"
        },
        {
            "name": "sd-webui-text2video",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-text2video",
            "version": "01e41fd4",
            "branch": "main",
            "remote": "https://github.com/kabachuha/sd-webui-text2video"
        },
        {
            "name": "ultimate-upscale-for-automatic1111",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\ultimate-upscale-for-automatic1111",
            "version": "728ffcec",
            "branch": "master",
            "remote": "https://github.com/Coyote-A/ultimate-upscale-for-automatic1111.git"
        }
    ],
    "Inactive extensions": [
        {
            "name": "sd-webui-lobe-theme",
            "path": "P:\\stable diffusion\\stable-diffusion-webui\\extensions\\sd-webui-lobe-theme",
            "version": "8d3633ce",
            "branch": "main",
            "remote": "https://github.com/canisminor1990/sd-webui-lobe-theme.git"
        }
    ],
    "Environment": {
        "COMMANDLINE_ARGS": " --xformers --disable-safe-unpickle --lowvram ",
        "GRADIO_ANALYTICS_ENABLED": "False"
    },
    "Config": {
        "samples_save": true,
        "samples_format": "png",
        "samples_filename_pattern": "",
        "save_images_add_number": true,
        "grid_save": true,
        "grid_format": "png",
        "grid_extended_filename": false,
        "grid_only_if_multiple": true,
        "grid_prevent_empty_spots": false,
        "grid_zip_filename_pattern": "",
        "n_rows": -1,
        "enable_pnginfo": true,
        "save_txt": false,
        "save_images_before_face_restoration": false,
        "save_images_before_highres_fix": false,
        "save_images_before_color_correction": false,
        "save_mask": false,
        "save_mask_composite": false,
        "jpeg_quality": 80,
        "webp_lossless": false,
        "export_for_4chan": true,
        "img_downscale_threshold": 4.0,
        "target_side_length": 4000,
        "img_max_size_mp": 200,
        "use_original_name_batch": true,
        "use_upscaler_name_as_suffix": false,
        "save_selected_only": true,
        "save_init_img": false,
        "temp_dir": "",
        "clean_temp_dir_at_start": false,
        "outdir_samples": "",
        "outdir_txt2img_samples": "outputs/txt2img-images",
        "outdir_img2img_samples": "outputs/img2img-images",
        "outdir_extras_samples": "outputs/extras-images",
        "outdir_grids": "",
        "outdir_txt2img_grids": "outputs/txt2img-grids",
        "outdir_img2img_grids": "outputs/img2img-grids",
        "outdir_save": "log/images",
        "outdir_init_images": "outputs/init-images",
        "save_to_dirs": true,
        "grid_save_to_dirs": true,
        "use_save_to_dirs_for_ui": false,
        "directories_filename_pattern": "[date]",
        "directories_max_prompt_words": 8,
        "ESRGAN_tile": 192,
        "ESRGAN_tile_overlap": 8,
        "realesrgan_enabled_models": [
            "R-ESRGAN 4x+",
            "R-ESRGAN 4x+ Anime6B"
        ],
        "upscaler_for_img2img": null,
        "face_restoration_model": "CodeFormer",
        "code_former_weight": 0.6,
        "face_restoration_unload": false,
        "show_warnings": false,
        "memmon_poll_rate": 8,
        "samples_log_stdout": false,
        "multiple_tqdm": true,
        "print_hypernet_extra": false,
        "list_hidden_files": true,
        "unload_models_when_training": false,
        "pin_memory": false,
        "save_optimizer_state": false,
        "save_training_settings_to_txt": true,
        "dataset_filename_word_regex": "",
        "dataset_filename_join_string": " ",
        "training_image_repeats_per_epoch": 1,
        "training_write_csv_every": 500,
        "training_xattention_optimizations": false,
        "training_enable_tensorboard": false,
        "training_tensorboard_save_images": false,
        "training_tensorboard_flush_every": 120,
        "sd_model_checkpoint": "dreamshaper_631BakedVae.safetensors [853e7e85c4]",
        "sd_checkpoint_cache": 0,
        "sd_vae_checkpoint_cache": 0,
        "sd_vae": "Automatic",
        "sd_vae_as_default": true,
        "sd_unet": "Automatic",
        "inpainting_mask_weight": 1.0,
        "initial_noise_multiplier": 0,
        "img2img_color_correction": false,
        "img2img_fix_steps": true,
        "img2img_background_color": "#ffffff",
        "enable_quantization": false,
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        "markdown-it-py==3.0.0",
        "markdown==3.4.4",
        "markupsafe==2.1.3",
        "matplotlib-inline==0.1.6",
        "matplotlib==3.8.0",
        "mdurl==0.1.2",
        "mediapipe==0.10.5",
        "moviepy==0.2.3.2",
        "mpmath==1.3.0",
        "multidict==6.0.4",
        "mutagen==1.47.0",
        "networkx==3.1",
        "numba==0.58.0",
        "numexpr==2.8.7",
        "numpy==1.23.5",
        "oauthlib==3.2.2",
        "omegaconf==2.2.3",
        "onnx==1.14.0",
        "onnxruntime==1.15.0",
        "open-clip-torch==2.20.0",
        "opencv-contrib-python==4.8.1.78",
        "opencv-python-headless==4.8.1.78",
        "opencv-python==4.7.0.72",
        "orjson==3.9.7",
        "packaging==23.1",
        "pandas==2.1.1",
        "parso==0.8.3",
        "pickleshare==0.7.5",
        "piexif==1.1.3",
        "pillow==9.5.0",
        "pims==0.6.0",
        "pip==22.2.1",
        "platformdirs==3.10.0",
        "pooch==1.7.0",
        "portalocker==2.8.2",
        "prettytable==3.9.0",
        "prompt-toolkit==3.0.39",
        "protobuf==4.24.4",
        "psutil==5.9.5",
        "pure-eval==0.2.2",
        "pyasn1-modules==0.3.0",
        "pyasn1==0.5.0",
        "pycparser==2.21",
        "pydantic==1.10.13",
        "pydub==0.25.1",
        "pyfunctional==1.4.3",
        "pygments==2.16.1",
        "pyparsing==3.1.1",
        "pyreadline3==3.4.1",
        "pysocks==1.7.1",
        "python-dateutil==2.8.2",
        "python-dotenv==1.0.0",
        "python-multipart==0.0.6",
        "pytorch-lightning==1.9.4",
        "pytz==2023.3.post1",
        "pywavelets==1.4.1",
        "pywin32==306",
        "pyyaml==6.0.1",
        "qudida==0.0.4",
        "realesrgan==0.3.0",
        "referencing==0.30.2",
        "regex==2023.8.8",
        "reportlab==4.0.5",
        "requests-oauthlib==1.3.1",
        "requests==2.31.0",
        "resampy==0.4.2",
        "resize-right==0.0.2",
        "rich==13.6.0",
        "rpds-py==0.10.3",
        "rsa==4.9",
        "safetensors==0.3.1",
        "scenedetect==0.6.2",
        "scikit-image==0.21.0",
        "scikit-learn==1.3.1",
        "scipy==1.11.3",
        "seaborn==0.13.0",
        "semantic-version==2.10.0",
        "sentencepiece==0.1.99",
        "setuptools==63.2.0",
        "six==1.16.0",
        "slicerator==1.1.0",
        "smmap==5.0.1",
        "sniffio==1.3.0",
        "sounddevice==0.4.6",
        "soundfile==0.12.1",
        "soupsieve==2.5",
        "stack-data==0.6.3",
        "starlette==0.26.1",
        "svglib==1.5.1",
        "sympy==1.12",
        "tabulate==0.9.0",
        "tb-nightly==2.15.0a20230930",
        "tensorboard-data-server==0.7.1",
        "termcolor==2.3.0",
        "threadpoolctl==3.2.0",
        "tifffile==2023.9.26",
        "timm==0.9.2",
        "tinycss2==1.2.1",
        "tokenizers==0.13.3",
        "tomesd==0.1.3",
        "tomli==2.0.1",
        "toolz==0.12.0",
        "torch==2.0.1+cu118",
        "torchdiffeq==0.2.3",
        "torchmetrics==1.2.0",
        "torchsde==0.2.5",
        "torchvision==0.15.2+cu118",
        "tqdm==4.66.1",
        "traitlets==5.12.0",
        "trampoline==0.1.2",
        "transformers==4.30.2",
        "transparent-background==1.2.9",
        "typing-extensions==4.8.0",
        "tzdata==2023.3",
        "urllib3==2.0.5",
        "uvicorn==0.23.2",
        "wcwidth==0.2.8",
        "webencodings==0.5.1",
        "websockets==11.0.3",
        "werkzeug==3.0.0",
        "xformers==0.0.20",
        "yacs==0.1.8",
        "yapf==0.40.2",
        "yarl==1.9.2",
        "zipp==3.17.0"
    ]
}

### What browsers do you use to access the UI ?

Google Chrome

### Console logs

```Shell
started run_deforum
times_to_run: 1
Deforum extension for auto1111 webui
Git commit: 8dcb1394
Starting job task(452ecoeh9srmucv)-0...
Video to extract: C:\Ai\Video83.mp4
Extracting video (1 every 1) frames to P:\stable diffusion\stable-diffusion-webui\outputs\img2img-images\dance\inputframes...
Trying to extract frames from video with input FPS of 25.0. Please wait patiently.
Extracted 83 frames from video in 0.34 seconds!
Using 83 input frames from P:\stable diffusion\stable-diffusion-webui\outputs\img2img-images\dance\inputframes...
Using init_image from video: P:\stable diffusion\stable-diffusion-webui\outputs\img2img-images\dance\inputframes\Video83000000000.jpg
ControlNet #1 is in LoopBack mode, skipping video/ image extraction stage.
ControlNet #2 is in LoopBack mode, skipping video/ image extraction stage.
Saving animation frames to:
P:\stable diffusion\stable-diffusion-webui\outputs\img2img-images\dance
Loading MiDaS model from dpt_large-midas-2f21e586.pt...
Animation frame: 0/83
Seed: 2412990663
Prompt: 1boy, solo, sitting, wet clothes, wet, puddles, rain, looking down, brown hair,official style, office suit, black shoes,outdoors, night, cyberpunk, alley, holo sign, neon lights, reflective floor, ripples
Neg Prompt: (EasyNegative:0.8), (worst quality, low quality:1.2),head out of frame, out of frame, door, doors,
Applying attention optimization: xformers... done.
╭─────┬───┬───────┬────┬────┬────┬────┬────┬────╮
│Steps│CFG│Denoise│Tr X│Tr Y│Tr Z│Ro X│Ro Y│Ro Z│
├─────┼───┼───────┼────┼────┼────┼────┼────┼────┤
│ 25  │8.0│   1   │ 0  │ 0  │ 0  │ 0  │ 0  │ 0  │
╰─────┴───┴───────┴────┴────┴────┴────┴────┴────╯
2023-10-28 21:56:59,697 - ControlNet - INFO - Loading model: control_sd15_canny [fef5e48e]
2023-10-28 21:57:01,481 - ControlNet - INFO - Loaded state_dict from [P:\stable diffusion\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_sd15_canny.pth]
2023-10-28 21:57:01,482 - ControlNet - INFO - controlnet_default_config
2023-10-28 21:57:03,749 - ControlNet - INFO - ControlNet model control_sd15_canny [fef5e48e] loaded.
2023-10-28 21:57:04,097 - ControlNet - INFO - Loading preprocessor: canny
2023-10-28 21:57:04,097 - ControlNet - INFO - preprocessor resolution = 392
2023-10-28 21:57:04,279 - ControlNet - INFO - Loading model: controlnet11Models_tileE [e47b23a8]
2023-10-28 21:57:04,310 - ControlNet - INFO - Loaded state_dict from [P:\stable diffusion\stable-diffusion-webui\extensions\sd-webui-controlnet\models\controlnet11Models_tileE.safetensors]
2023-10-28 21:57:04,311 - ControlNet - INFO - controlnet_default_config
2023-10-28 21:57:06,470 - ControlNet - INFO - ControlNet model controlnet11Models_tileE [e47b23a8] loaded.
2023-10-28 21:57:06,518 - ControlNet - INFO - Loading preprocessor: none
2023-10-28 21:57:06,519 - ControlNet - INFO - preprocessor resolution = 512
2023-10-28 21:57:06,581 - ControlNet - INFO - ControlNet Hooked - Time = 7.066220045089722
100%|██████████████████████████████████████████████████████████████████████████████████| 25/25 [02:28<00:00,  5.92s/it]
WARNING:deforum_helpers.opts_overrider:Error during batch execution: <class 'RuntimeError'> - PytorchStreamReader failed reading zip archive: failed finding central directory

*START OF TRACEBACK*
Traceback (most recent call last):
  File "P:\stable diffusion\stable-diffusion-webui\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\run_deforum.py", line 116, in run_deforum
    render_animation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root)
  File "P:\stable diffusion\stable-diffusion-webui\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\render.py", line 577, in render_animation
    image = generate(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame_idx, sampler_name=scheduled_sampler_name)
  File "P:\stable diffusion\stable-diffusion-webui\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 78, in generate
    return generate_inner(args, keys, anim_args, loop_args, controlnet_args, root, parseq_adapter, frame, sampler_name)
  File "P:\stable diffusion\stable-diffusion-webui\extensions\deforum-for-automatic1111-webui\scripts\deforum_helpers\generate.py", line 283, in generate_inner
    processed = processing.process_images(p)
  File "P:\stable diffusion\stable-diffusion-webui\modules\processing.py", line 732, in process_images
    res = process_images_inner(p)
  File "P:\stable diffusion\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
    return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
  File "P:\stable diffusion\stable-diffusion-webui\modules\processing.py", line 914, in process_images_inner
    x_sample = modules.face_restoration.restore_faces(x_sample)
  File "P:\stable diffusion\stable-diffusion-webui\modules\face_restoration.py", line 19, in restore_faces
    return face_restorer.restore(np_image)
  File "P:\stable diffusion\stable-diffusion-webui\modules\codeformer_model.py", line 81, in restore
    self.create_models()
  File "P:\stable diffusion\stable-diffusion-webui\modules\codeformer_model.py", line 58, in create_models
    checkpoint = torch.load(ckpt_path)['params_ema']
  File "P:\stable diffusion\stable-diffusion-webui\modules\safe.py", line 108, in load
    return load_with_extra(filename, *args, extra_handler=global_extra_handler, **kwargs)
  File "P:\stable diffusion\stable-diffusion-webui\modules\safe.py", line 156, in load_with_extra
    return unsafe_torch_load(filename, *args, **kwargs)
  File "P:\stable diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 797, in load
    with _open_zipfile_reader(opened_file) as opened_zipfile:
  File "P:\stable diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 283, in __init__
    super().__init__(torch._C.PyTorchFileReader(name_or_buffer))
RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory
*END OF TRACEBACK*

User friendly error message:
Error: PytorchStreamReader failed reading zip archive: failed finding central directory. Please, check your schedules/ init values.
Deforum progress:   1%|▋
```


### Additional information

I checked everything, tried several times, but still the problem persists