user error

[dfghsderftgerdf]

got prompt
INFO:comfyui-prompt-control:Resolving wildcards...
ERROR:root:Failed to validate prompt for output 167:
ERROR:root:* KSampler (Efficient) 140:
ERROR:root: - Failed to convert an input value to a INT value: steps, None, int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
ERROR:root: - Value not in list: sampler_name: '7' not in (list of length 21)
ERROR:root: - Value not in list: scheduler: 'dpmpp_2m' not in ['normal', 'karras', 'exponential', 'sgm_uniform', 'simple', 'ddim_uniform']
ERROR:root: - Failed to convert an input value to a FLOAT value: denoise, karras, could not convert string to float: 'karras'
ERROR:root: - Value not in list: preview_method: '1' not in ['auto', 'latent2rgb', 'taesd', 'vae_decoded_only', 'none']ERROR:root: - Value not in list: vae_decode: 'auto' not in ['true', 'true (tiled)', 'false']
ERROR:root:Output will be ignored
ERROR:root:Failed to validate prompt for output 174:
ERROR:root:Output will be ignored
ERROR:root:Failed to validate prompt for output 140:
ERROR:root:* (prompt):
ERROR:root: - Failed to convert an input value to a INT value: steps, None, int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
ERROR:root: - Value not in list: sampler_name: '7' not in (list of length 21)
ERROR:root: - Value not in list: scheduler: 'dpmpp_2m' not in ['normal', 'karras', 'exponential', 'sgm_uniform', 'simple', 'ddim_uniform']
ERROR:root: - Failed to convert an input value to a FLOAT value: denoise, karras, could not convert string to float: 'karras'
ERROR:root: - Value not in list: preview_method: '1' not in ['auto', 'latent2rgb', 'taesd', 'vae_decoded_only', 'none']ERROR:root: - Value not in list: vae_decode: 'auto' not in ['true', 'true (tiled)', 'false']
ERROR:root:Output will be ignored
ERROR:root:Failed to validate prompt for output 146:
ERROR:root:Output will be ignored
use_width: 1024
use_height: 1024
else result shape: torch.Size([1, 1024, 1024, 4])
use_width: 1024
use_height: 1024
else result shape: torch.Size([1, 1024, 1024, 4])
Prompt executed in 1.07 seconds