[Bug]: "Batch Folder" cannot be used in txt2img's control net

Nobody has claimed this yet.

### Checklist

- [ ] The issue exists after disabling all extensions
- [ ] The issue exists on a clean installation of webui
- [X] The issue is caused by an extension, but I believe it is caused by a bug in the webui
- [X] The issue exists in the current version of the webui
- [ ] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet

### What happened?

"Batch Folder" cannot be used in txt2img's control net

### Steps to reproduce the problem

Enable ControlNet Integrated in txt2img and set the path to "Batch Folder" to generate

### What should have happened?

Generated based on images in "Batch Folder"

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

_No response_

### Sysinfo

{
"Platform": "Windows-10-10.0.19045-SP0",
"Python": "3.10.4",
"Version": "f0.0.16v1.8.0rc-latest-238-g437c3489",
"Commit": "437c348926c9ee1bfe1f147529f164bb93f731a1",
"Script path": "C:\\Work\\forge",
"Data path": "C:\\Work\\forge",
"Extensions dir": "C:\\Work\\forge\\extensions",
"Checksum": "bbf7db246bf19f2af9c355a4baca96d212d8fa712695b652bbd2779350a260ac",
"Commandline": [
"launch.py",
"--forge-ref-a1111-home",
"C:\\Work\\stable-diffusion-webui",
"--no-half-vae",
"--ckpt-dir",
"C:\\Work\\stable-diffusion-webui\\models\\Stable-diffusion",
"--vae-dir",
"C:\\Work\\stable-diffusion-webui\\models\\VAE",
"--hypernetwork-dir",
"C:\\Work\\stable-diffusion-webui\\models\\hypernetworks",
"--embeddings-dir",
"C:\\Work\\stable-diffusion-webui\\embeddings",
"--lora-dir",
"C:\\Work\\stable-diffusion-webui\\models\\lora",
"--controlnet-dir",
"C:\\Work\\stable-diffusion-webui\\models\\ControlNet",
"--controlnet-preprocessor-models-dir",
"C:\\Work\\stable-diffusion-webui\\extensions\\sd-webui-controlnet\\annotator\\downloads"
],
"Torch env info": {
"torch_version": "2.1.2+cu121",
"is_debug_build": "False",
"cuda_compiled_version": "12.1",
"gcc_version": null,
"clang_version": null,
"cmake_version": null,
"os": "Microsoft Windows 10 Pro",
"libc_version": "N/A",
"python_version": "3.10.4 (tags/v3.10.4:9d38120, Mar 23 2022, 23:13:41) [MSC v.1929 64 bit (AMD64)] (64-bit runtime)",
"python_platform": "Windows-10-10.0.19045-SP0",
"is_cuda_available": "True",
"cuda_runtime_version": "11.8.89\r",
"cuda_module_loading": "LAZY",
"nvidia_driver_version": "551.23",
"nvidia_gpu_models": "GPU 0: NVIDIA GeForce RTX 4070 Ti",
"cudnn_version": null,
"pip_version": "pip3",
"pip_packages": [
"numpy==1.26.2",
"open-clip-torch==2.20.0",
"pytorch-lightning==1.9.4",
"torch==2.1.2+cu121",
"torchdiffeq==0.2.3",
"torchmetrics==1.3.1",
"torchsde==0.2.6",
"torchvision==0.16.2+cu121"
],
"conda_packages": null,
"hip_compiled_version": "N/A",
"hip_runtime_version": "N/A",
"miopen_runtime_version": "N/A",
"caching_allocator_config": "",
"is_xnnpack_available": "True",
"cpu_info": [
"Architecture=9",
"CurrentClockSpeed=3801",
"DeviceID=CPU0",
"Family=107",
"L2CacheSize=4096",
"L2CacheSpeed=",
"Manufacturer=AuthenticAMD",
"MaxClockSpeed=3801",
"Name=AMD Ryzen 7 5800X 8-Core Processor ",
"ProcessorType=3",
"Revision=8448"
]
},
"Exceptions": [
{
"exception": "0",
"traceback": [
[
"C:\\Work\\forge\\modules\\scripts.py, line 859, postprocess_batch_list",
"script.postprocess_batch_list(p, pp, *script_args, **kwargs)"
],
[
"C:\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"C:\\Work\\forge\\extensions-builtin\\sd_forge_controlnet\\scripts\\controlnet.py, line 561, postprocess_batch_list",
"self.process_unit_after_every_sampling(p, unit, self.current_params[i], pp, *args, **kwargs)"
]
]
},
{
"exception": "0",
"traceback": [
[
"C:\\Work\\forge\\modules\\scripts.py, line 835, process_before_every_sampling",
"script.process_before_every_sampling(p, *script_args, **kwargs)"
],
[
"C:\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"C:\\Work\\forge\\extensions-builtin\\sd_forge_controlnet\\scripts\\controlnet.py, line 555, process_before_every_sampling",
"self.process_unit_before_every_sampling(p, unit, self.current_params[i], *args, **kwargs)"
]
]
},
{
"exception": "0",
"traceback": [
[
"C:\\Work\\forge\\modules\\scripts.py, line 835, process_before_every_sampling",
"script.process_before_every_sampling(p, *script_args, **kwargs)"
],
[
"C:\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"C:\\Work\\forge\\extensions-builtin\\sd_forge_controlnet\\scripts\\controlnet.py, line 555, process_before_every_sampling",
"self.process_unit_before_every_sampling(p, unit, self.current_params[i], *args, **kwargs)"
]
]
},
{
"exception": "'NoneType' object is not subscriptable",
"traceback": [
[
"C:\\Work\\forge\\modules\\scripts.py, line 803, process",
"script.process(p, *script_args)"
],
[
"C:\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"C:\\Work\\forge\\extensions-builtin\\sd_forge_controlnet\\scripts\\controlnet.py, line 548, process",
"self.process_unit_after_click_generate(p, unit, params, *args, **kwargs)"
],
[
"C:\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"C:\\Work\\forge\\extensions-builtin\\sd_forge_controlnet\\scripts\\controlnet.py, line 298, process_unit_after_click_generate",
"input_list, resize_mode = self.get_input_data(p, unit, preprocessor, h, w)"
],
[
"C:\\Work\\forge\\extensions-builtin\\sd_forge_controlnet\\scripts\\controlnet.py, line 182, get_input_data",
"img = np.ascontiguousarray(cv2.imread(img_path)[:, :, ::-1]).copy()"
]
]
},
{
"exception": "0",
"traceback": [
[
"C:\\Work\\forge\\modules\\scripts.py, line 859, postprocess_batch_list",
"script.postprocess_batch_list(p, pp, *script_args, **kwargs)"
],
[
"C:\\venv\\lib\\site-packages\\torch\\utils\\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"C:\\Work\\forge\\extensions-builtin\\sd_forge_controlnet\\scripts\\controlnet.py, line 561, postprocess_batch_list",
"self.process_unit_after_every_sampling(p, unit, self.current_params[i], pp, *args, **kwargs)"
]
]
}
],
"CPU": {
"model": "AMD64 Family 25 Model 33 Stepping 0, AuthenticAMD",
"count logical": 16,
"count physical": 8
},
"RAM": {
"total": "32GB",
"used": "13GB",
"free": "19GB"
},
"Extensions": [
{
"name": "sd-dynamic-prompts",
"path": "C:\\Work\\forge\\extensions\\sd-dynamic-prompts",
"version": "74991820",
"branch": "main",
"remote": "https://github.com/adieyal/sd-dynamic-prompts.git"
}
],
"Inactive extensions": [],
"Environment": {
"COMMANDLINE_ARGS": " --forge-ref-a1111-home \"C:\\Work\\stable-diffusion-webui\" --no-half-vae",
"GRADIO_ANALYTICS_ENABLED": "False"
},
"Config": {
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"ldsr_steps": 100,
"ldsr_cached": false,
"SCUNET_tile": 256,
"SCUNET_tile_overlap": 8,
"SWIN_tile": 192,
"SWIN_tile_overlap": 8,
"SWIN_torch_compile": false,
"control_net_detectedmap_dir": "detected_maps",
"control_net_models_path": "",
"control_net_modules_path": "",
"control_net_unit_count": 1,
"control_net_model_cache_size": 5,
"control_net_no_detectmap": false,
"control_net_detectmap_autosaving": false,
"control_net_allow_script_control": false,
"control_net_sync_field_args": true,
"controlnet_show_batch_images_in_ui": false,
"controlnet_increment_seed_during_batch": false,
"controlnet_disable_openpose_edit": false,
"controlnet_disable_photopea_edit": false,
"controlnet_photopea_warning": true,
"controlnet_input_thumbnail": true,
"sd_model_checkpoint": "chilled_remix_v2.safetensors",
"sd_vae": "None",
"outdir_samples": "",
"outdir_txt2img_samples": "output\\txt2img-images",
"outdir_img2img_samples": "output\\img2img-images",
"outdir_extras_samples": "output\\extras-images",
"outdir_grids": "",
"outdir_txt2img_grids": "output\\txt2img-grids",
"outdir_img2img_grids": "output\\img2img-grids",
"outdir_save": "log\\images",
"outdir_init_images": "output\\init-images",
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"samples_format": "png",
"samples_filename_pattern": "",
"save_images_add_number": true,
"save_images_replace_action": "Replace",
"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",
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"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": 4000.0,
"img_max_size_mp": 200.0,
"use_original_name_batch": true,
"use_upscaler_name_as_suffix": false,
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"directories_max_prompt_words": 8,
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"extra_networks_dir_button_function": false,
"extra_networks_hidden_models": "When searched",
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"extra_networks_card_width": 0.0,
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"extra_networks_card_show_desc": true,
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"extra_networks_card_order_field": "Path",
"extra_networks_card_order": "Ascending",
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"emphasis": "Original",
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"tiling": false,
"hires_fix_refiner_pass": "second pass",
"enable_prompt_comments": true,
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}

### Console logs

```Shell
*** Error running postprocess_batch_list: C:\Work\forge\extensions-builtin\sd_forge_controlnet\scripts\controlnet.py
Traceback (most recent call last):
File "C:\Work\forge\modules\scripts.py", line 859, in postprocess_batch_list
script.postprocess_batch_list(p, pp, *script_args, **kwargs)
File "C:\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Work\forge\extensions-builtin\sd_forge_controlnet\scripts\controlnet.py", line 561, in postprocess_batch_list
self.process_unit_after_every_sampling(p, unit, self.current_params[i], pp, *args, **kwargs)
KeyError: 0
```

### Additional information

_No response_

Reproduce the txt2img ControlNet Batch Folder flow, then start at extensions-builtin/sd_forge_controlnet/scripts/controlnet.py, especially get_input_data at line 182 and its call from process_unit_after_click_generate. Review the related hooks in modules/scripts.py and determine why cv2.imread returns no image for the folder input. Done means valid images in Batch Folder generate successfully without the reported exception.

Written by the indexing model from the issue text.