Repository: stable-diffusion-webui
Issue: [Bug]:  UnboundLocalError: local variable 'h' referenced before assignment
Labels: bug-report,upstream

### Is there an existing issue for this?

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

### What happened?

Got this error when generating a Img2Img with sampler DPM++ 2M SDE Karras
with some testing i found this error only occurs with Denoising strength 0,04 or below, also setting on 0 gives this error
further settings dont seem to matter


### Steps to reproduce the problem

1. Go to img2img
2. Select random image
3. Select sampling method: DPM++ 2M SDE Karras
4. Set Denoising strength to: 0,04 or below 
5. keep further settings default
6. Generate Image


### What should have happened?

Image should have generated

### Sysinfo


{
    "Platform": "Windows-10-10.0.22621-SP0",
    "Python": "3.10.6",
    "Version": "v1.6.0",
    "Commit": "5ef669de080814067961f28357256e8fe27544f4",
    "Script path": "E:\\Programs\\Stable difussion\\stable-diffusion-webui",
    "Data path": "E:\\Programs\\Stable difussion\\stable-diffusion-webui",
    "Extensions dir": "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\extensions",
    "Checksum": "de8109bd13575191a04ff943c28f9012fd3e96aa25f3f78c8343091627c7bf56",
    "Commandline": [
        "launch.py",
        "--xformers",
        "--autolaunch"
    ],
    "Torch env info": "'NoneType' object has no attribute 'splitlines'",
    "Exceptions": [
        {
            "exception": "local variable 'h' referenced before assignment",
            "traceback": [
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\img2img.py, line 208, img2img",
                    "processed = process_images(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\processing.py, line 732, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\sd_samplers_common.py, line 261, launch_sampling",
                    "return func()"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
                    "return func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\repositories\\k-diffusion\\k_diffusion\\sampling.py, line 651, sample_dpmpp_2m_sde",
                    "h_last = h"
                ]
            ]
        },
        {
            "exception": "local variable 'h' referenced before assignment",
            "traceback": [
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\img2img.py, line 208, img2img",
                    "processed = process_images(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\processing.py, line 732, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\sd_samplers_common.py, line 261, launch_sampling",
                    "return func()"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
                    "return func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\repositories\\k-diffusion\\k_diffusion\\sampling.py, line 651, sample_dpmpp_2m_sde",
                    "h_last = h"
                ]
            ]
        },
        {
            "exception": "local variable 'h' referenced before assignment",
            "traceback": [
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\img2img.py, line 208, img2img",
                    "processed = process_images(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\processing.py, line 732, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\sd_samplers_common.py, line 261, launch_sampling",
                    "return func()"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
                    "return func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\repositories\\k-diffusion\\k_diffusion\\sampling.py, line 651, sample_dpmpp_2m_sde",
                    "h_last = h"
                ]
            ]
        },
        {
            "exception": "local variable 'h' referenced before assignment",
            "traceback": [
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\img2img.py, line 208, img2img",
                    "processed = process_images(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\processing.py, line 732, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\sd_samplers_common.py, line 261, launch_sampling",
                    "return func()"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
                    "return func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\repositories\\k-diffusion\\k_diffusion\\sampling.py, line 651, sample_dpmpp_2m_sde",
                    "h_last = h"
                ]
            ]
        },
        {
            "exception": "local variable 'h' referenced before assignment",
            "traceback": [
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\img2img.py, line 208, img2img",
                    "processed = process_images(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\processing.py, line 732, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\modules\\sd_samplers_common.py, line 261, launch_sampling",
                    "return func()"
                ],
                [
                    "E:\\Programs\\Stable difussion\\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))"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
                    "return func(*args, **kwargs)"
                ],
                [
                    "E:\\Programs\\Stable difussion\\stable-diffusion-webui\\repositories\\k-diffusion\\k_diffusion\\sampling.py, line 651, sample_dpmpp_2m_sde",
                    "h_last = h"
                ]
            ]
        }
    ],
    "CPU": {
        "model": "Intel64 Family 6 Model 151 Stepping 2, GenuineIntel",
        "count logical": 20,
        "count physical": 12
    },
    "RAM": {
        "total": "32GB",
        "used": "13GB",
        "free": "18GB"
    },
    "Extensions": [],
    "Inactive extensions": [],
    "Environment": {
        "COMMANDLINE_ARGS": "  --xformers --autolaunch",
        "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,
        "font": "",
        "grid_text_active_color": "#000000",
        "grid_text_inactive_color": "#999999",
        "grid_background_color": "#ffffff",
        "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,
        "save_incomplete_images": 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": false,
        "face_restoration_model": "CodeFormer",
        "code_former_weight": 0.5,
        "face_restoration_unload": false,
        "auto_launch_browser": "Local",
        "show_warnings": false,
        "show_gradio_deprecation_warnings": true,
        "memmon_poll_rate": 8,
        "samples_log_stdout": false,
        "multiple_tqdm": true,
        "print_hypernet_extra": false,
        "list_hidden_files": true,
        "disable_mmap_load_safetensors": false,
        "hide_ldm_prints": true,
        "api_enable_requests": true,
        "api_forbid_local_requests": true,
        "api_useragent": "",
        "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": "v1-5-pruned-emaonly.safetensors [6ce0161689]",
        "sd_checkpoints_limit": 1,
        "sd_checkpoints_keep_in_cpu": true,
        "sd_checkpoint_cache": 0,
        "sd_unet": "Automatic",
        "enable_quantization": false,
        "enable_emphasis": true,
        "enable_batch_seeds": true,
        "comma_padding_backtrack": 20,
        "CLIP_stop_at_last_layers": 1,
        "upcast_attn": false,
        "randn_source": "GPU",
        "tiling": false,
        "hires_fix_refiner_pass": "second pass",
        "sdxl_crop_top": 0,
        "sdxl_crop_left": 0,
        "sdxl_refiner_low_aesthetic_score": 2.5,
        "sdxl_refiner_high_aesthetic_score": 6.0,
        "sd_vae_explanation": "<abbr title='Variational autoencoder'>VAE</abbr> is a neural network that transforms a standard <abbr title='red/green/blue'>RGB</abbr>\nimage into latent space representation and back. Latent space representation is what stable diffusion is working on during sampling\n(i.e. when the progress bar is between empty and full). For txt2img, VAE is used to create a resulting image after the sampling is finished.\nFor img2img, VAE is used to process user's input image before the sampling, and to create an image after sampling.",
        "sd_vae_checkpoint_cache": 0,
        "sd_vae": "Automatic",
        "sd_vae_overrides_per_model_preferences": true,
        "auto_vae_precision": true,
        "sd_vae_encode_method": "Full",
        "sd_vae_decode_method": "Full",
        "inpainting_mask_weight": 1.0,
        "initial_noise_multiplier": 1.0,
        "img2img_extra_noise": 0.0,
        "img2img_color_correction": false,
        "img2img_fix_steps": false,
        "img2img_background_color": "#ffffff",
        "img2img_editor_height": 720,
        "img2img_sketch_default_brush_color": "#ffffff",
        "img2img_inpaint_mask_brush_color": "#ffffff",
        "img2img_inpaint_sketch_default_brush_color": "#ffffff",
        "return_mask": false,
        "return_mask_composite": false,
        "cross_attention_optimization": "Automatic",
        "s_min_uncond": 0.0,
        "token_merging_ratio": 0.0,
        "token_merging_ratio_img2img": 0.0,
        "token_merging_ratio_hr": 0.0,
        "pad_cond_uncond": false,
        "persistent_cond_cache": true,
        "batch_cond_uncond": true,
        "use_old_emphasis_implementation": false,
        "use_old_karras_scheduler_sigmas": false,
        "no_dpmpp_sde_batch_determinism": false,
        "use_old_hires_fix_width_height": false,
        "dont_fix_second_order_samplers_schedule": false,
        "hires_fix_use_firstpass_conds": false,
        "use_old_scheduling": false,
        "interrogate_keep_models_in_memory": false,
        "interrogate_return_ranks": false,
        "interrogate_clip_num_beams": 1,
        "interrogate_clip_min_length": 24,
        "interrogate_clip_max_length": 48,
        "interrogate_clip_dict_limit": 1500,
        "interrogate_clip_skip_categories": [],
        "interrogate_deepbooru_score_threshold": 0.5,
        "deepbooru_sort_alpha": true,
        "deepbooru_use_spaces": true,
        "deepbooru_escape": true,
        "deepbooru_filter_tags": "",
        "extra_networks_show_hidden_directories": true,
        "extra_networks_hidden_models": "When searched",
        "extra_networks_default_multiplier": 1.0,
        "extra_networks_card_width": 0,
        "extra_networks_card_height": 0,
        "extra_networks_card_text_scale": 1.0,
        "extra_networks_card_show_desc": true,
        "extra_networks_add_text_separator": " ",
        "ui_extra_networks_tab_reorder": "",
        "textual_inversion_print_at_load": false,
        "textual_inversion_add_hashes_to_infotext": true,
        "sd_hypernetwork": "None",
        "localization": "None",
        "gradio_theme": "Default",
        "gradio_themes_cache": true,
        "gallery_height": "",
        "return_grid": true,
        "do_not_show_images": false,
        "send_seed": true,
        "send_size": true,
        "js_modal_lightbox": true,
        "js_modal_lightbox_initially_zoomed": true,
        "js_modal_lightbox_gamepad": false,
        "js_modal_lightbox_gamepad_repeat": 250,
        "show_progress_in_title": true,
        "samplers_in_dropdown": true,
        "dimensions_and_batch_together": true,
        "keyedit_precision_attention": 0.1,
        "keyedit_precision_extra": 0.05,
        "keyedit_delimiters": ".,\\/!?%^*;:{}=`~()",
        "keyedit_move": true,
        "quicksettings_list": [
            "sd_model_checkpoint"
        ],
        "ui_tab_order": [],
        "hidden_tabs": [],
        "ui_reorder_list": [],
        "hires_fix_show_sampler": false,
        "hires_fix_show_prompts": false,
        "disable_token_counters": false,
        "add_model_hash_to_info": true,
        "add_model_name_to_info": true,
        "add_user_name_to_info": false,
        "add_version_to_infotext": true,
        "disable_weights_auto_swap": true,
        "infotext_styles": "Apply if any",
        "show_progressbar": true,
        "live_previews_enable": true,
        "live_previews_image_format": "png",
        "show_progress_grid": true,
        "show_progress_every_n_steps": 10,
        "show_progress_type": "Approx NN",
        "live_preview_allow_lowvram_full": false,
        "live_preview_content": "Prompt",
        "live_preview_refresh_period": 1000,
        "live_preview_fast_interrupt": false,
        "hide_samplers": [],
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        "k_sched_type": "Automatic",
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        "rho": 0.0,
        "eta_noise_seed_delta": 0,
        "always_discard_next_to_last_sigma": false,
        "sgm_noise_multiplier": false,
        "uni_pc_variant": "bh1",
        "uni_pc_skip_type": "time_uniform",
        "uni_pc_order": 3,
        "uni_pc_lower_order_final": true,
        "postprocessing_enable_in_main_ui": [],
        "postprocessing_operation_order": [],
        "upscaling_max_images_in_cache": 5,
        "disabled_extensions": [],
        "disable_all_extensions": "none",
        "restore_config_state_file": "",
        "sd_checkpoint_hash": "6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa"
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            "prepare environment/clone repositores": 0.09958410263061523,
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            "prepare environment": 1.465921401977539,
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            "list localizations": 0.0,
            "load scripts/custom_code.py": 0.0,
            "load scripts/img2imgalt.py": 0.0015025138854980469,
            "load scripts/loopback.py": 0.0,
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            "load scripts/prompts_from_file.py": 0.0010027885437011719,
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            "load scripts/sd_upscale.py": 0.0,
            "load scripts/seed.py": 0.0,
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            "load scripts/lora_script.py": 0.08214187622070312,
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            "load scripts/hotkey_config.py": 0.0009999275207519531,
            "load scripts/extra_options_section.py": 0.0,
            "load scripts": 0.5203008651733398,
            "load upscalers": 0.006604194641113281,
            "refresh VAE": 0.0009989738464355469,
            "refresh textual inversion templates": 0.0,
            "scripts list_optimizers": 0.0010006427764892578,
            "scripts list_unets": 0.0,
            "reload hypernetworks": 0.0,
            "initialize extra networks": 0.011018753051757812,
            "scripts before_ui_callback": 0.0035071372985839844,
            "create ui": 0.3693420886993408,
            "gradio launch": 0.25330185890197754,
            "add APIs": 0.005504608154296875,
            "app_started_callback/lora_script.py": 0.0,
            "app_started_callback": 0.0
        }
    },
    "Packages": [
        "absl-py==2.0.0",
        "accelerate==0.21.0",
        "addict==2.4.0",
        "aenum==3.1.15",
        "aiofiles==23.2.1",
        "aiohttp==3.8.6",
        "aiosignal==1.3.1",
        "altair==5.1.2",
        "antlr4-python3-runtime==4.9.3",
        "anyio==3.7.1",
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        "basicsr==1.4.2",
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        "charset-normalizer==3.3.1",
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        "click==8.1.7",
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        "fsspec==2023.10.0",
        "ftfy==6.1.1",
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        "gdown==4.7.1",
        "gfpgan==1.3.8",
        "gitdb==4.0.11",
        "gitpython==3.1.32",
        "google-auth-oauthlib==1.1.0",
        "google-auth==2.23.3",
        "gradio-client==0.5.0",
        "gradio==3.41.2",
        "grpcio==1.59.0",
        "h11==0.12.0",
        "httpcore==0.15.0",
        "httpx==0.24.1",
        "huggingface-hub==0.18.0",
        "idna==3.4",
        "imageio==2.31.6",
        "importlib-metadata==6.8.0",
        "importlib-resources==6.1.0",
        "inflection==0.5.1",
        "jinja2==3.1.2",
        "jsonmerge==1.8.0",
        "jsonschema-specifications==2023.7.1",
        "jsonschema==4.19.1",
        "kiwisolver==1.4.5",
        "kornia==0.6.7",
        "lark==1.1.2",
        "lazy-loader==0.3",
        "lightning-utilities==0.9.0",
        "llvmlite==0.41.1",
        "lmdb==1.4.1",
        "lpips==0.1.4",
        "markdown==3.5",
        "markupsafe==2.1.3",
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        "mpmath==1.3.0",
        "multidict==6.0.4",
        "networkx==3.2",
        "numba==0.58.1",
        "numpy==1.23.5",
        "oauthlib==3.2.2",
        "omegaconf==2.2.3",
        "open-clip-torch==2.20.0",
        "opencv-python==4.8.1.78",
        "orjson==3.9.9",
        "packaging==23.2",
        "pandas==2.1.1",
        "piexif==1.1.3",
        "pillow==9.5.0",
        "pip==22.2.1",
        "platformdirs==3.11.0",
        "protobuf==3.20.0",
        "psutil==5.9.5",
        "pyasn1-modules==0.3.0",
        "pyasn1==0.5.0",
        "pydantic==1.10.13",
        "pydub==0.25.1",
        "pyparsing==3.1.1",
        "pysocks==1.7.1",
        "python-dateutil==2.8.2",
        "python-multipart==0.0.6",
        "pytorch-lightning==1.9.4",
        "pytz==2023.3.post1",
        "pywavelets==1.4.1",
        "pyyaml==6.0.1",
        "realesrgan==0.3.0",
        "referencing==0.30.2",
        "regex==2023.10.3",
        "requests-oauthlib==1.3.1",
        "requests==2.31.0",
        "resize-right==0.0.2",
        "rpds-py==0.10.6",
        "rsa==4.9",
        "safetensors==0.3.1",
        "scikit-image==0.21.0",
        "scipy==1.11.3",
        "semantic-version==2.10.0",
        "sentencepiece==0.1.99",
        "setuptools==63.2.0",
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        "smmap==5.0.1",
        "sniffio==1.3.0",
        "soupsieve==2.5",
        "starlette==0.26.1",
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        "tb-nightly==2.16.0a20231025",
        "tensorboard-data-server==0.7.2",
        "tifffile==2023.9.26",
        "timm==0.9.2",
        "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",
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        "torchsde==0.2.5",
        "torchvision==0.15.2+cu118",
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        "trampoline==0.1.2",
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        "typing-extensions==4.8.0",
        "tzdata==2023.3",
        "urllib3==2.0.7",
        "uvicorn==0.23.2",
        "wcwidth==0.2.8",
        "websockets==11.0.3",
        "werkzeug==3.0.1",
        "xformers==0.0.20",
        "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
0%|                                                                                            | 0/1 [00:00<?, ?it/s]
*** Error completing request                                                                     | 0/1 [00:00<?, ?it/s]
*** Arguments: ('task(h3uscqudpa83w2g)', 0, 'Random image', 'people', [], <PIL.Image.Image image mode=RGBA size=512x512 at 0x22860BD98D0>, None, None, None, None, None, None, 20, 'DPM++ 2M SDE Karras', 4, 0, 1, 1, 1, 7, 1.5, 0.04, 0, 512, 512, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x0000022860BD9AE0>, 0, False, '', 0.8, -1, False, -1, 0, 0, 0, '* `CFG Scale` should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False) {}
    Traceback (most recent call last):
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py", line 36, in f
        res = func(*args, **kwargs)
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\img2img.py", line 208, in img2img
        processed = process_images(p)
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py", line 732, in process_images
        res = process_images_inner(p)
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py", line 867, in 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)
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py", line 1528, in sample
        samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 188, in 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))
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_common.py", line 261, in launch_sampling
        return func()
      File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 188, in <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))
      File "E:\Programs\Stable difussion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
        return func(*args, **kwargs)
      File "E:\Programs\Stable difussion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 651, in sample_dpmpp_2m_sde
        h_last = h
    UnboundLocalError: local variable 'h' referenced before assignment
```


### Additional information

_No response_