[Bug]: 'NoneType' object is not iterable

Checklist

[X] The issue exists after disabling all extensions
[X] The issue exists on a clean installation of webui
[ ] 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
[X] The issue has been reported before but has not been fixed yet

What happened?

Generating image gives error : TypeError: 'NoneType' object is not iterable

Steps to reproduce the problem

Start webui. Press Generate with any model

What should have happened?

Generated image,

What browsers do you use to access the UI ?

Mozilla Firefox

Sysinfo

{ "Platform": "Windows-10-10.0.22631-SP0", "Python": "3.10.6", "Version": "f0.0.15v1.8.0rc-latest-224-gcc5f7735", "Commit": "cc5f7735195993de7e99f683e048975dbc985b69", "Script path": "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge", "Data path": "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge", "Extensions dir": "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\extensions", "Checksum": "e4f6a63c3e1de66762abb242ae44d26ae7334209918d2131c58db6cc92f56bfd", "Commandline": [ "launch.py", "--skip-torch-cuda-test", "--directml", "--always-normal-vram" ], "Torch env info": { "torch_version": "2.0.0+cpu", "is_debug_build": "False", "cuda_compiled_version": null, "gcc_version": null, "clang_version": null, "cmake_version": null, "os": "Microsoft Windows 11 Pro", "libc_version": "N/A", "python_version": "3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] (64-bit runtime)", "python_platform": "Windows-10-10.0.22631-SP0", "is_cuda_available": "False", "cuda_runtime_version": null, "cuda_module_loading": "N/A", "nvidia_driver_version": null, "nvidia_gpu_models": null, "cudnn_version": null, "pip_version": "pip3", "pip_packages": [ "numpy==1.26.2", "open-clip-torch==2.20.0", "pytorch-lightning==1.9.4", "torch==2.0.0", "torch-directml==0.2.0.dev230426", "torchdiffeq==0.2.3", "torchmetrics==1.3.1", "torchsde==0.2.6", "torchvision==0.15.1" ], "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=3501", "DeviceID=CPU0", "Family=107", "L2CacheSize=3072", "L2CacheSpeed=", "Manufacturer=AuthenticAMD", "MaxClockSpeed=3501", "Name=AMD Ryzen 5 5600 6-Core Processor ", "ProcessorType=3", "Revision=8450" ] }, "Exceptions": [ { "exception": "'NoneType' object is not iterable", "traceback": [ [ "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\call_queue.py, line 57, f", "res = list(func(*args, kwargs))" ] ] }, { "exception": "'NoneType' object is not iterable", "traceback": [ [ "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\call_queue.py, line 57, f", "res = list(func(*args, *kwargs))" ] ] }, { "exception": "'NoneType' object is not iterable", "traceback": [ [ "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\call_queue.py, line 57, f", "res = list(func(args, kwargs))" ] ] } ], "CPU": { "model": "AMD64 Family 25 Model 33 Stepping 2, AuthenticAMD", "count logical": 12, "count physical": 6 }, "RAM": { "total": "32GB", "used": "13GB", "free": "19GB" }, "Extensions": [], "Inactive extensions": [], "Environment": { "COMMANDLINE_ARGS": " --skip-torch-cuda-test --directml --always-normal-vram", "GRADIO_ANALYTICS_ENABLED": "False" }, "Config": { "ldsr_steps": 100, "ldsr_cached": false, "SCUNET_tile": 256, "SCUNET_tile_overlap": 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"httpx==0.24.1", "huggingface-hub==0.20.3", "humanfriendly==10.0", "idna==3.6", "imageio==2.34.0", "importlib-metadata==7.0.1", "importlib-resources==6.1.1", "inflection==0.5.1", "insightface==0.7.3", "iopath==0.1.9", "jax==0.4.24", "jinja2==3.1.3", "joblib==1.3.2", "jsonmerge==1.8.0", "jsonschema-specifications==2023.12.1", "jsonschema==4.21.1", "kiwisolver==1.4.5", "kornia==0.6.7", "lark==1.1.2", "lazy-loader==0.3", "lightning-utilities==0.10.1", "llvmlite==0.42.0", "lmdb==1.4.1", "lxml==5.1.0", "mapbox-earcut==1.0.1", "markdown==3.5.2", "markupsafe==2.1.5", "matplotlib==3.8.3", "mediapipe==0.10.10", "ml-dtypes==0.3.2", "mpmath==1.3.0", "multidict==6.0.5", "networkx==3.2.1", "numba==0.59.0", "numpy==1.26.2", "omegaconf==2.2.3", "onnx==1.15.0", "onnxruntime==1.17.0", "open-clip-torch==2.20.0", "opencv-contrib-python==4.9.0.80", "opencv-python-headless==4.9.0.80", "opencv-python==4.9.0.80", "opt-einsum==3.3.0", "orjson==3.9.15", "packaging==23.2", "pandas==2.2.1", "piexif==1.1.3", "pillow==9.5.0", "pip==24.0", "platformdirs==4.2.0", "portalocker==2.8.2", "prettytable==3.10.0", "protobuf==3.20.3", "psutil==5.9.5", "pycollada==0.8", "pycparser==2.21", "pydantic==1.10.14", "pydub==0.25.1", "pyparsing==3.1.1", "pyreadline3==3.4.1", "python-dateutil==2.8.2", "python-multipart==0.0.9", "pytorch-lightning==1.9.4", "pytz==2024.1", "pywavelets==1.5.0", "pywin32==306", "pyyaml==6.0.1", "qudida==0.0.4", "referencing==0.33.0", "regex==2023.12.25", "reportlab==4.1.0", "requests==2.31.0", "resize-right==0.0.2", "rpds-py==0.18.0", "rtree==1.2.0", "safetensors==0.4.2", "scikit-image==0.21.0", "scikit-learn==1.4.1.post1", "scipy==1.12.0", "semantic-version==2.10.0", "sentencepiece==0.2.0", "setuptools==63.2.0", "shapely==2.0.3", "six==1.16.0", "smmap==5.0.1", "sniffio==1.3.0", "sounddevice==0.4.6", "spandrel==0.1.6", "starlette==0.26.1", "svg.path==6.3", "svglib==1.5.1", "sympy==1.12", "tabulate==0.9.0", "tb-nightly==2.17.0a20240223", "tensorboard-data-server==0.7.2", "termcolor==2.4.0", "threadpoolctl==3.3.0", "tifffile==2024.2.12", "timm==0.9.16", "tinycss2==1.2.1", "tokenizers==0.13.3", "tomesd==0.1.3", "tomli==2.0.1", "toolz==0.12.1", "torch-directml==0.2.0.dev230426", "torch==2.0.0", "torchdiffeq==0.2.3", "torchmetrics==1.3.1", "torchsde==0.2.6", "torchvision==0.16.2+cu121", "tqdm==4.66.2", "trampoline==0.1.2", "transformers==4.30.2", "trimesh==4.1.5", "typing-extensions==4.9.0", "tzdata==2024.1", "urllib3==2.2.1", "uvicorn==0.27.1", "vhacdx==0.0.5", "wcwidth==0.2.13", "webencodings==0.5.1", "websockets==11.0.3", "werkzeug==3.0.1", "xatlas==0.0.9", "xxhash==3.4.1", "yacs==0.1.8", "yapf==0.40.2", "yarl==1.9.4", "zipp==3.17.0" ] }

Console logs

Traceback (most recent call last):
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
    task.work()
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
    processed = processing.process_images(p)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\processing.py", line 752, in process_images
    res = process_images_inner(p)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\processing.py", line 877, in process_images_inner
    p.setup_conds()
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\processing.py", line 1452, in setup_conds
    super().setup_conds()
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\processing.py", line 508, in setup_conds
    self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, total_steps, [self.cached_uc], self.extra_network_data)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\processing.py", line 494, in get_conds_with_caching
    cache[1] = function(shared.sd_model, required_prompts, steps, hires_steps, shared.opts.use_old_scheduling)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\prompt_parser.py", line 188, in get_learned_conditioning
    conds = model.get_learned_conditioning(texts)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 669, in get_learned_conditioning
    c = self.cond_stage_model(c)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\sd_hijack_clip.py", line 234, in forward
    z = self.process_tokens(tokens, multipliers)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\sd_hijack_clip.py", line 276, in process_tokens
    z = self.encode_with_transformers(tokens)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules_forge\forge_clip.py", line 20, in encode_with_transformers
    outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward
    return self.text_model(
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 730, in forward
    hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 224, in forward
    position_ids = self.position_ids[:, :seq_length]
RuntimeError: Cannot set version_counter for inference tensor
Cannot set version_counter for inference tensor
*** Error completing request
*** Arguments: ('task(tsa42f34zwypw4a)', <gradio.routes.Request object at 0x0000022F27906740>, 'girl', '', [], 20, 'DPM++ 2M Karras', 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, False, '', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0, 'anisotropic', 0, 'reinhard', 100, 0, 'subtract', 0, 0, 'gaussian', 'add', 0, 100, 127, 0, 'hard_clamp', 5, 0, 'None', 'None', False, 'MultiDiffusion', 768, 768, 64, 4, False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
    Traceback (most recent call last):
      File "E:\Storage\Apps\AI_Geneartor\stable-diffusion-webui-forge\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
    TypeError: 'NoneType' object is not iterable

Additional information

No response

lllyasviel / stable-diffusion-webui-forge