Error in supermerger tab when webui forge graphic generation is turned on with high score fixing

[DELSAO6]

Substituting empty model_c with model_a
  model A       : 1
  model B       : 2
  model C       : 3
  alpha,beta    : (1.0, 0.25)
  weights_alpha : [1.0, 1.0, 1.0, 0.5, 0.25, 0.5, 0.75, 0.75, 0.75, 0.5, 0.25, 0.25, 0.75, 0.75, 0.25, 0.5, 1.0, 1.0, 1.0]
  weights_beta  : 0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5
  mode          : Weight sum
  MBW           : True
  CalcMode      : normal
  Elemental     :
  Weights Seed  : 52437277
  Off   : ([], '')
  Adjust        :
Loading weights [2] from file
Loading weights [1] from file
Loading Model: {'checkpoint_info': {'filename': 'E:\\The_box\\ai\\forgeui\\sd-webui-forge-aki-v1.0\\models\\Stable-diffusion\\1illXL\\4.fp16.safetensors', 'hash': '053491f2'}, 'additional_modules': [], 'unet_storage_dtype': None}
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 1.5s (forge model load: 1.5s).
[Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done.
[Unload] Trying to free 3051.58 MB for cuda:0 with 0 models keep loaded ... Done.
[Memory Management] Target: JointTextEncoder, Free GPU: 23251.00 MB, Model Require: 1559.68 MB, Previously Loaded: 0.00 MB, Inference Require: 1024.00 MB, Remaining: 20667.32 MB, All loaded to GPU.
Moving model(s) has taken 0.38 seconds
[Unload] Trying to free 1024.00 MB for cuda:0 with 1 models keep loaded ... Current free memory is 21478.68 MB ... Done.
Skipping unconditional conditioning (HR pass) when CFG = 1. Negative Prompts are ignored.
[Unload] Trying to free 1024.00 MB for cuda:0 with 1 models keep loaded ... Current free memory is 21478.06 MB ... Done.
[Unload] Trying to free 7656.40 MB for cuda:0 with 0 models keep loaded ... Current free memory is 21477.21 MB ... Done.
[Memory Management] Target: KModel, Free GPU: 21477.21 MB, Model Require: 4897.05 MB, Previously Loaded: 0.00 MB, Inference Require: 1024.00 MB, Remaining: 15556.16 MB, All loaded to GPU.
Moving model(s) has taken 0.85 seconds
[Unload] Trying to free 4495.36 MB for cuda:0 with 0 models keep loaded ... Current free memory is 16560.33 MB ... Done.
[Memory Management] Target: IntegratedAutoencoderKL, Free GPU: 16560.33 MB, Model Require: 159.56 MB, Previously Loaded: 0.00 MB, Inference Require: 1024.00 MB, Remaining: 15376.78 MB, All loaded to GPU.
Moving model(s) has taken 0.30 seconds
Traceback (most recent call last):
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\python\Lib\site-packages\gradio\queueing.py", line 536, in process_events
    response = await route_utils.call_process_api(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\python\Lib\site-packages\gradio\route_utils.py", line 285, in call_process_api
    output = await app.get_blocks().process_api(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\python\Lib\site-packages\gradio\blocks.py", line 1923, in process_api
    result = await self.call_function(
             ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\python\Lib\site-packages\gradio\blocks.py", line 1508, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\python\Lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\python\Lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
           ^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\python\Lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
             ^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\python\Lib\site-packages\gradio\utils.py", line 818, in wrapper
    response = f(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\extensions\sd-webui-supermerger\scripts\mergers\mergers.py", line 153, in smergegen
    images = simggen(s_prompt,s_nprompt,s_steps,s_sampler,s_cfg,s_seed,s_w,s_h,s_batch_size,
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\extensions\sd-webui-supermerger\scripts\mergers\mergers.py", line 1306, in simggen
    processed:Processed = processing.process_images(p)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\modules\processing.py", line 842, in process_images
    res = process_images_inner(p)
          ^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\modules\processing.py", line 990, 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:\The_box\ai\forgeui\sd-webui-forge-aki-v1.0\modules\processing.py", line 1405, in sample
    if hasattr(self, 'hr_additional_modules') and 'Use same choices' not in self.hr_additional_modules:
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: argument of type 'NoneType' is not iterable

This error does not occur if high score repair is not turned on.

[zethfoxster]

just want to add a clarification: if you do not turn on "hires fix" in the main text2img tab. you can still test the hires in the super merger tab.

[hako-mikan]

Fixed.