[Bug]: Does not load model

[Hongheaven]

Checklist

• [ ] The issue exists after disabling all extensions
• [ ] 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
• [ ] The issue exists in the current version of the webui
• [X] The issue has not been reported before recently
• [ ] The issue has been reported before but has not been fixed yet

What happened?

Webui Forge, don't load model Over CAT - Overlord Citron Anime ( https://civitai.com/models/172970/over-cat-overlord-citron-anime-treasure ) Maybe it can happen with other checkpoints, in auto1111 it works normally

Steps to reproduce the problem

1 - select model Overlord Citron Anime 2 - enter prompt 3 - bug

What should have happened?

I believe it should load the model, there must be a compatibility error

What browsers do you use to access the UI ?

No response

Sysinfo

i don't know

Console logs

Stable diffusion model failed to load
Loading weights [79955c1b69] from D:\AI\CKPT\Over CAT - Overlord Citron Anime Treasure\overCATOverlordCitron_v2.safetensors
model_type EPS
UNet ADM Dimension 0
Using xformers attention in VAE
Working with z of shape (1, 4, 64, 64) = 16384 dimensions.
Using xformers attention in VAE
Missing VAE keys ['encoder.conv_in.weight', 'encoder.conv_in.bias', 'encoder.down.0.block.0.norm1.weight', 'encoder.down.0.block.0.norm1.bias', 'encoder.down.0.block.0.conv1.weight', 'encoder.down.0.block.0.conv1.bias', 'encoder.down.0.block.0.norm2.weight', 'encoder.down.0.block.0.norm2.bias', 'encoder.down.0.block.0.conv2.weight', 'encoder.down.0.block.0.conv2.bias', 'encoder.down.0.block.1.norm1.weight', 'encoder.down.0.block.1.norm1.bias', 'encoder.down.0.block.1.conv1.weight', 'encoder.down.0.block.1.conv1.bias', 'encoder.down.0.block.1.norm2.weight', 'encoder.down.0.block.1.norm2.bias', 'encoder.down.0.block.1.conv2.weight', 'encoder.down.0.block.1.conv2.bias', 'encoder.down.0.downsample.conv.weight', 'encoder.down.0.downsample.conv.bias', 'encoder.down.1.block.0.norm1.weight', 'encoder.down.1.block.0.norm1.bias', 'encoder.down.1.block.0.conv1.weight', 'encoder.down.1.block.0.conv1.bias', 'encoder.down.1.block.0.norm2.weight', 'encoder.down.1.block.0.norm2.bias', 'encoder.down.1.block.0.conv2.weight', 'encoder.down.1.block.0.conv2.bias', 'encoder.down.1.block.0.nin_shortcut.weight', 'encoder.down.1.block.0.nin_shortcut.bias', 'encoder.down.1.block.1.norm1.weight', 'encoder.down.1.block.1.norm1.bias', 'encoder.down.1.block.1.conv1.weight', 'encoder.down.1.block.1.conv1.bias', 'encoder.down.1.block.1.norm2.weight', 'encoder.down.1.block.1.norm2.bias', 'encoder.down.1.block.1.conv2.weight', 'encoder.down.1.block.1.conv2.bias', 'encoder.down.1.downsample.conv.weight', 'encoder.down.1.downsample.conv.bias', 'encoder.down.2.block.0.norm1.weight', 'encoder.down.2.block.0.norm1.bias', 'encoder.down.2.block.0.conv1.weight', 'encoder.down.2.block.0.conv1.bias', 'encoder.down.2.block.0.norm2.weight', 'encoder.down.2.block.0.norm2.bias', 'encoder.down.2.block.0.conv2.weight', 'encoder.down.2.block.0.conv2.bias', 'encoder.down.2.block.0.nin_shortcut.weight', 'encoder.down.2.block.0.nin_shortcut.bias', 'encoder.down.2.block.1.norm1.weight', 'encoder.down.2.block.1.norm1.bias', 'encoder.down.2.block.1.conv1.weight', 'encoder.down.2.block.1.conv1.bias', 'encoder.down.2.block.1.norm2.weight', 'encoder.down.2.block.1.norm2.bias', 'encoder.down.2.block.1.conv2.weight', 'encoder.down.2.block.1.conv2.bias', 'encoder.mid.block_1.norm1.weight', 'encoder.mid.block_1.norm1.bias', 'encoder.mid.block_1.conv1.weight', 'encoder.mid.block_1.conv1.bias', 'encoder.mid.block_1.norm2.weight', 'encoder.mid.block_1.norm2.bias', 'encoder.mid.block_1.conv2.weight', 'encoder.mid.block_1.conv2.bias', 'encoder.mid.attn_1.norm.weight', 'encoder.mid.attn_1.norm.bias', 'encoder.mid.attn_1.q.weight', 'encoder.mid.attn_1.q.bias', 'encoder.mid.attn_1.k.weight', 'encoder.mid.attn_1.k.bias', 'encoder.mid.attn_1.v.weight', 'encoder.mid.attn_1.v.bias', 'encoder.mid.attn_1.proj_out.weight', 'encoder.mid.attn_1.proj_out.bias', 'encoder.mid.block_2.norm1.weight', 'encoder.mid.block_2.norm1.bias', 'encoder.mid.block_2.conv1.weight', 'encoder.mid.block_2.conv1.bias', 'encoder.mid.block_2.norm2.weight', 'encoder.mid.block_2.norm2.bias', 'encoder.mid.block_2.conv2.weight', 'encoder.mid.block_2.conv2.bias', 'encoder.norm_out.weight', 'encoder.norm_out.bias', 'encoder.conv_out.weight', 'encoder.conv_out.bias', 'decoder.conv_in.weight', 'decoder.conv_in.bias', 'decoder.mid.block_1.norm1.weight', 'decoder.mid.block_1.norm1.bias', 'decoder.mid.block_1.conv1.weight', 'decoder.mid.block_1.conv1.bias', 'decoder.mid.block_1.norm2.weight', 'decoder.mid.block_1.norm2.bias', 'decoder.mid.block_1.conv2.weight', 'decoder.mid.block_1.conv2.bias', 'decoder.mid.attn_1.norm.weight', 'decoder.mid.attn_1.norm.bias', 'decoder.mid.attn_1.q.weight', 'decoder.mid.attn_1.q.bias', 'decoder.mid.attn_1.k.weight', 'decoder.mid.attn_1.k.bias', 'decoder.mid.attn_1.v.weight', 'decoder.mid.attn_1.v.bias', 'decoder.mid.attn_1.proj_out.weight', 'decoder.mid.attn_1.proj_out.bias', 'decoder.mid.block_2.norm1.weight', 'decoder.mid.block_2.norm1.bias', 'decoder.mid.block_2.conv1.weight', 'decoder.mid.block_2.conv1.bias', 'decoder.mid.block_2.norm2.weight', 'decoder.mid.block_2.norm2.bias', 'decoder.mid.block_2.conv2.weight', 'decoder.mid.block_2.conv2.bias', 'decoder.up.0.block.0.norm1.weight', 'decoder.up.0.block.0.norm1.bias', 'decoder.up.0.block.0.conv1.weight', 'decoder.up.0.block.0.conv1.bias', 'decoder.up.0.block.0.norm2.weight', 'decoder.up.0.block.0.norm2.bias', 'decoder.up.0.block.0.conv2.weight', 'decoder.up.0.block.0.conv2.bias', 'decoder.up.0.block.0.nin_shortcut.weight', 'decoder.up.0.block.0.nin_shortcut.bias', 'decoder.up.0.block.1.norm1.weight', 'decoder.up.0.block.1.norm1.bias', 'decoder.up.0.block.1.conv1.weight', 'decoder.up.0.block.1.conv1.bias', 'decoder.up.0.block.1.norm2.weight', 'decoder.up.0.block.1.norm2.bias', 'decoder.up.0.block.1.conv2.weight', 'decoder.up.0.block.1.conv2.bias', 'decoder.up.0.block.2.norm1.weight', 'decoder.up.0.block.2.norm1.bias', 'decoder.up.0.block.2.conv1.weight', 'decoder.up.0.block.2.conv1.bias', 'decoder.up.0.block.2.norm2.weight', 'decoder.up.0.block.2.norm2.bias', 'decoder.up.0.block.2.conv2.weight', 'decoder.up.0.block.2.conv2.bias', 'decoder.up.1.block.0.norm1.weight', 'decoder.up.1.block.0.norm1.bias', 'decoder.up.1.block.0.conv1.weight', 'decoder.up.1.block.0.conv1.bias', 'decoder.up.1.block.0.norm2.weight', 'decoder.up.1.block.0.norm2.bias', 'decoder.up.1.block.0.conv2.weight', 'decoder.up.1.block.0.conv2.bias', 'decoder.up.1.block.0.nin_shortcut.weight', 'decoder.up.1.block.0.nin_shortcut.bias', 'decoder.up.1.block.1.norm1.weight', 'decoder.up.1.block.1.norm1.bias', 'decoder.up.1.block.1.conv1.weight', 'decoder.up.1.block.1.conv1.bias', 'decoder.up.1.block.1.norm2.weight', 'decoder.up.1.block.1.norm2.bias', 'decoder.up.1.block.1.conv2.weight', 'decoder.up.1.block.1.conv2.bias', 'decoder.up.1.block.2.norm1.weight', 'decoder.up.1.block.2.norm1.bias', 'decoder.up.1.block.2.conv1.weight', 'decoder.up.1.block.2.conv1.bias', 'decoder.up.1.block.2.norm2.weight', 'decoder.up.1.block.2.norm2.bias', 'decoder.up.1.block.2.conv2.weight', 'decoder.up.1.block.2.conv2.bias', 'decoder.up.1.upsample.conv.weight', 'decoder.up.1.upsample.conv.bias', 'decoder.up.2.block.0.norm1.weight', 'decoder.up.2.block.0.norm1.bias', 'decoder.up.2.block.0.conv1.weight', 'decoder.up.2.block.0.conv1.bias', 'decoder.up.2.block.0.norm2.weight', 'decoder.up.2.block.0.norm2.bias', 'decoder.up.2.block.0.conv2.weight', 'decoder.up.2.block.0.conv2.bias', 'decoder.up.2.block.1.norm1.weight', 'decoder.up.2.block.1.norm1.bias', 'decoder.up.2.block.1.conv1.weight', 'decoder.up.2.block.1.conv1.bias', 'decoder.up.2.block.1.norm2.weight', 'decoder.up.2.block.1.norm2.bias', 'decoder.up.2.block.1.conv2.weight', 'decoder.up.2.block.1.conv2.bias', 'decoder.up.2.block.2.norm1.weight', 'decoder.up.2.block.2.norm1.bias', 'decoder.up.2.block.2.conv1.weight', 'decoder.up.2.block.2.conv1.bias', 'decoder.up.2.block.2.norm2.weight', 'decoder.up.2.block.2.norm2.bias', 'decoder.up.2.block.2.conv2.weight', 'decoder.up.2.block.2.conv2.bias', 'decoder.up.2.upsample.conv.weight', 'decoder.up.2.upsample.conv.bias', 'decoder.norm_out.weight', 'decoder.norm_out.bias', 'decoder.conv_out.weight', 'decoder.conv_out.bias', 'quant_conv.weight', 'quant_conv.bias', 'post_quant_conv.weight', 'post_quant_conv.bias']
extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
Loading VAE weights specified in settings: D:\AI\VAE\kl-f8-anime2.ckpt
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\processing.py", line 737, in process_images
    sd_models.reload_model_weights()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_models.py", line 628, in reload_model_weights
    return load_model(info)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_models.py", line 599, in load_model
    sd_vae.load_vae(sd_model, vae_file, vae_source)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_vae.py", line 212, in load_vae
    _load_vae_dict(model, vae_dict_1)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_vae.py", line 239, in _load_vae_dict
    model.first_stage_model.load_state_dict(vae_dict_1)
  File "D:\Stable\SD\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for AutoencoderKL:
        Unexpected key(s) in state_dict: "encoder.down.3.block.0.norm1.weight", "encoder.down.3.block.0.norm1.bias", "encoder.down.3.block.0.conv1.weight", "encoder.down.3.block.0.conv1.bias", "encoder.down.3.block.0.norm2.weight", "encoder.down.3.block.0.norm2.bias", "encoder.down.3.block.0.conv2.weight", "encoder.down.3.block.0.conv2.bias", "encoder.down.3.block.1.norm1.weight", "encoder.down.3.block.1.norm1.bias", "encoder.down.3.block.1.conv1.weight", "encoder.down.3.block.1.conv1.bias", "encoder.down.3.block.1.norm2.weight", "encoder.down.3.block.1.norm2.bias", "encoder.down.3.block.1.conv2.weight", "encoder.down.3.block.1.conv2.bias", "encoder.down.2.downsample.conv.weight", "encoder.down.2.downsample.conv.bias", "decoder.up.3.block.0.norm1.weight", "decoder.up.3.block.0.norm1.bias", "decoder.up.3.block.0.conv1.weight", "decoder.up.3.block.0.conv1.bias", "decoder.up.3.block.0.norm2.weight", "decoder.up.3.block.0.norm2.bias", "decoder.up.3.block.0.conv2.weight", "decoder.up.3.block.0.conv2.bias", "decoder.up.3.block.1.norm1.weight", "decoder.up.3.block.1.norm1.bias", "decoder.up.3.block.1.conv1.weight", "decoder.up.3.block.1.conv1.bias", "decoder.up.3.block.1.norm2.weight", "decoder.up.3.block.1.norm2.bias", "decoder.up.3.block.1.conv2.weight", "decoder.up.3.block.1.conv2.bias", "decoder.up.3.block.2.norm1.weight", "decoder.up.3.block.2.norm1.bias", "decoder.up.3.block.2.conv1.weight", "decoder.up.3.block.2.conv1.bias", "decoder.up.3.block.2.norm2.weight", "decoder.up.3.block.2.norm2.bias", "decoder.up.3.block.2.conv2.weight", "decoder.up.3.block.2.conv2.bias", "decoder.up.3.upsample.conv.weight", "decoder.up.3.upsample.conv.bias".

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\Stable\SD\stable-diffusion-webui-forge\launch.py", line 51, in <module>
    main()
  File "D:\Stable\SD\stable-diffusion-webui-forge\launch.py", line 47, in main
    start()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\launch_utils.py", line 549, in start
    main_thread.loop()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
    task.work()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
    processed = processing.process_images(p)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\processing.py", line 761, in process_images
    sd_vae.reload_vae_weights()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_vae.py", line 252, in reload_vae_weights
    sd_model = shared.sd_model
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\shared_items.py", line 133, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_models.py", line 509, in get_sd_model
    load_model()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_models.py", line 599, in load_model
    sd_vae.load_vae(sd_model, vae_file, vae_source)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_vae.py", line 212, in load_vae
    _load_vae_dict(model, vae_dict_1)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_vae.py", line 239, in _load_vae_dict
    model.first_stage_model.load_state_dict(vae_dict_1)
  File "D:\Stable\SD\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for AutoencoderKL:
        Unexpected key(s) in state_dict: "encoder.down.3.block.0.norm1.weight", "encoder.down.3.block.0.norm1.bias", "encoder.down.3.block.0.conv1.weight", "encoder.down.3.block.0.conv1.bias", "encoder.down.3.block.0.norm2.weight", "encoder.down.3.block.0.norm2.bias", "encoder.down.3.block.0.conv2.weight", "encoder.down.3.block.0.conv2.bias", "encoder.down.3.block.1.norm1.weight", "encoder.down.3.block.1.norm1.bias", "encoder.down.3.block.1.conv1.weight", "encoder.down.3.block.1.conv1.bias", "encoder.down.3.block.1.norm2.weight", "encoder.down.3.block.1.norm2.bias", "encoder.down.3.block.1.conv2.weight", "encoder.down.3.block.1.conv2.bias", "encoder.down.2.downsample.conv.weight", "encoder.down.2.downsample.conv.bias", "decoder.up.3.block.0.norm1.weight", "decoder.up.3.block.0.norm1.bias", "decoder.up.3.block.0.conv1.weight", "decoder.up.3.block.0.conv1.bias", "decoder.up.3.block.0.norm2.weight", "decoder.up.3.block.0.norm2.bias", "decoder.up.3.block.0.conv2.weight", "decoder.up.3.block.0.conv2.bias", "decoder.up.3.block.1.norm1.weight", "decoder.up.3.block.1.norm1.bias", "decoder.up.3.block.1.conv1.weight", "decoder.up.3.block.1.conv1.bias", "decoder.up.3.block.1.norm2.weight", "decoder.up.3.block.1.norm2.bias", "decoder.up.3.block.1.conv2.weight", "decoder.up.3.block.1.conv2.bias", "decoder.up.3.block.2.norm1.weight", "decoder.up.3.block.2.norm1.bias", "decoder.up.3.block.2.conv1.weight", "decoder.up.3.block.2.conv1.bias", "decoder.up.3.block.2.norm2.weight", "decoder.up.3.block.2.norm2.bias", "decoder.up.3.block.2.conv2.weight", "decoder.up.3.block.2.conv2.bias", "decoder.up.3.upsample.conv.weight", "decoder.up.3.upsample.conv.bias".

Stable diffusion model failed to load
Traceback (most recent call last):
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\processing.py", line 737, in process_images
    sd_models.reload_model_weights()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_models.py", line 628, in reload_model_weights
    return load_model(info)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_models.py", line 599, in load_model
    sd_vae.load_vae(sd_model, vae_file, vae_source)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_vae.py", line 212, in load_vae
    _load_vae_dict(model, vae_dict_1)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_vae.py", line 239, in _load_vae_dict
    model.first_stage_model.load_state_dict(vae_dict_1)
  File "D:\Stable\SD\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for AutoencoderKL:
        Unexpected key(s) in state_dict: "encoder.down.3.block.0.norm1.weight", "encoder.down.3.block.0.norm1.bias", "encoder.down.3.block.0.conv1.weight", "encoder.down.3.block.0.conv1.bias", "encoder.down.3.block.0.norm2.weight", "encoder.down.3.block.0.norm2.bias", "encoder.down.3.block.0.conv2.weight", "encoder.down.3.block.0.conv2.bias", "encoder.down.3.block.1.norm1.weight", "encoder.down.3.block.1.norm1.bias", "encoder.down.3.block.1.conv1.weight", "encoder.down.3.block.1.conv1.bias", "encoder.down.3.block.1.norm2.weight", "encoder.down.3.block.1.norm2.bias", "encoder.down.3.block.1.conv2.weight", "encoder.down.3.block.1.conv2.bias", "encoder.down.2.downsample.conv.weight", "encoder.down.2.downsample.conv.bias", "decoder.up.3.block.0.norm1.weight", "decoder.up.3.block.0.norm1.bias", "decoder.up.3.block.0.conv1.weight", "decoder.up.3.block.0.conv1.bias", "decoder.up.3.block.0.norm2.weight", "decoder.up.3.block.0.norm2.bias", "decoder.up.3.block.0.conv2.weight", "decoder.up.3.block.0.conv2.bias", "decoder.up.3.block.1.norm1.weight", "decoder.up.3.block.1.norm1.bias", "decoder.up.3.block.1.conv1.weight", "decoder.up.3.block.1.conv1.bias", "decoder.up.3.block.1.norm2.weight", "decoder.up.3.block.1.norm2.bias", "decoder.up.3.block.1.conv2.weight", "decoder.up.3.block.1.conv2.bias", "decoder.up.3.block.2.norm1.weight", "decoder.up.3.block.2.norm1.bias", "decoder.up.3.block.2.conv1.weight", "decoder.up.3.block.2.conv1.bias", "decoder.up.3.block.2.norm2.weight", "decoder.up.3.block.2.norm2.bias", "decoder.up.3.block.2.conv2.weight", "decoder.up.3.block.2.conv2.bias", "decoder.up.3.upsample.conv.weight", "decoder.up.3.upsample.conv.bias".

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
    task.work()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
    processed = processing.process_images(p)
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\processing.py", line 761, in process_images
    sd_vae.reload_vae_weights()
  File "D:\Stable\SD\stable-diffusion-webui-forge\modules\sd_vae.py", line 254, in reload_vae_weights
    checkpoint_info = sd_model.sd_checkpoint_info
AttributeError: 'NoneType' object has no attribute 'sd_checkpoint_info'
'NoneType' object has no attribute 'sd_checkpoint_info'
*** Error completing request
*** Arguments: ('task(f71j9xcwfty72fd)', <gradio.routes.Request object at 0x000001BFEF7C89D0>, 'masterpiece, best quality, ultra detailed, highres, 1girl, blue eyes, brown hair, freckles, (pale white:1.4), (flying:1.5), (full body:1.3), sky', 'verybadimagenegative_v1.3, ng_deepnegative_v1_75t, (ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, Multiple people, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, 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False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M Karras', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, '', 0.5, True, False, '', 'Lerp', False, 'NONE:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nALL:1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1\nINS:1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0\nIND:1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0\nINALL:1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0\nMIDD:1,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0\nOUTD:1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0\nOUTS:1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1\nOUTALL:1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1\nALL0.5:0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', True, 0, 'values', '0,0.25,0.5,0.75,1', 'Block ID', 'IN05-OUT05', 'none', '', '0.5,1', 'BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11', 1.0, 'black', '20', False, 'ATTNDEEPON:IN05-OUT05:attn:1\n\nATTNDEEPOFF:IN05-OUT05:attn:0\n\nPROJDEEPOFF:IN05-OUT05:proj:0\n\nXYZ:::1', False, False, False, None, False, '0', '0', 'inswapper_128.onnx', 'CodeFormer', 1, True, 'None', 1, 1, False, True, 1, 0, 0, False, 0.5, True, False, 'CUDA', False, 0, 'None', '', None, False, False, 0.5, 0, False, False, 'Matrix', 'Columns', 'Mask', 'Prompt', '1,1', '0.2', False, False, False, 'Attention', [False], '0', '0', '0.4', None, '0', '0', False, False, '1:1,1:2,1:2', '0:0,0:0,0:1', '0.2,0.8,0.8', 20, 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), 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, [], 30, '', 4, [], 1, '', '', '', '') {}
    Traceback (most recent call last):
      File "D:\Stable\SD\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

RTX 3070 Drive Version 551.52

[DenOfEquity]

Based on error log: model is missing VAE keys, and has some unexpected keys too. If it is still an issue, try manually specifying a known good VAE.