TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'

[37Stars]

I am getting the error message "TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'" for everything I run now. New prompts, prompts from PNG Info, that worked yesterday. I have switched checkpoints, uninstalled extensions, deleted extensions, disabled all extensions. So far nothing has worked.

Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] Version: f2.0.1v1.10.1-previous-549-g4baf8ffb Commit hash: 4baf8ffb9c617c05a4e3c23dcaafcdcedf5e42b2 Launching Web UI with arguments: --theme dark Total VRAM 12282 MB, total RAM 65277 MB pytorch version: 2.3.1+cu121 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4070 Ti : native Hint: your device supports --cuda-malloc for potential speed improvements. VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16 CUDA Using Stream: False Using pytorch cross attention Using pytorch attention for VAE "Disable all extensions" option was set, will not load any extensions Loading additional modules ... done. Model selected: {'checkpoint_info': {'filename': 'E:\ForgeFlux\webui\models\Stable-diffusion\cyberrealisticPony_v63.safetensors', 'hash': '8da9e150'}, 'additional_modules': [], 'unet_storage_dtype': None} Using online LoRAs in FP16: False Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch(). Startup time: 10.4s (prepare environment: 2.0s, import torch: 4.5s, initialize shared: 0.2s, other imports: 0.3s, initialize google blockly: 1.6s, create ui: 1.3s, gradio launch: 0.3s). Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False} [GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation. Loading Model: {'checkpoint_info': {'filename': 'E:\ForgeFlux\webui\models\Stable-diffusion\cyberrealisticPony_v63.safetensors', 'hash': '8da9e150'}, 'additional_modules': [], 'unet_storage_dtype': None} [Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done. StateDict Keys: {'unet': 1680, 'vae': 248, 'text_encoder': 197, 'text_encoder_2': 518, 'ignore': 0} Working with z of shape (1, 4, 32, 32) = 4096 dimensions. K-Model Created: {'storage_dtype': torch.float16, 'computation_dtype': torch.float16} Model loaded in 0.7s (unload existing model: 0.1s, forge model load: 0.6s). Traceback (most recent call last): File "E:\ForgeFlux\webui\modules_forge\main_thread.py", line 30, in work self.result = self.func(*self.args, **self.kwargs) File "E:\ForgeFlux\webui\modules\txt2img.py", line 123, in txt2img_function processed = processing.process_images(p) File "E:\ForgeFlux\webui\modules\processing.py", line 817, in process_images res = process_images_inner(p) File "E:\ForgeFlux\webui\modules\processing.py", line 930, in process_images_inner p.setup_conds() File "E:\ForgeFlux\webui\modules\processing.py", line 1526, in setup_conds super().setup_conds() File "E:\ForgeFlux\webui\modules\processing.py", line 500, 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:\ForgeFlux\webui\modules\processing.py", line 469, in get_conds_with_caching shared.sd_model.set_clip_skip(int(opts.CLIP_stop_at_last_layers)) TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType' int() argument must be a string, a bytes-like object or a real number, not 'NoneType'

[DenOfEquity]

That is CLIP skip, the particular error suggests the setting somehow doesn't exist. Try resetting it by adjusting the Clip skip slider in either 'sd' or 'all' UI setting, use Apply settings in the Settings tab afterward. If that doesn't work, try closing Forge then deleting config.json from the {Forge install location}\webui directory (but this will also lose any other settings you've changed).

[37Stars]

Thanks. I made a backup the config.json, relaunched Forge and saved the settings. Then did a compare between the backup and the new config files and copied over the few settings I had changed.

Thank you!