[Bug]: ValueError: state_dict cannot be passed together with a model name or a gguf_file

[farizy4n]

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
• The issue has not been reported before recently
• The issue has been reported before but has not been fixed yet

What happened?

it all just happened, because I haven't used A1111 for a long time. Lately I've been experimenting a lot with ComfyUi.

Steps to reproduce the problem

since the application started.

What should have happened?

Idk, I have done a clean install, but this still happens.

What browsers do you use to access the UI ?

No response

Sysinfo

sysinfo-2025-04-16-05-27.json

Console logs

Creating model from config: E:\AI\TensorRT\webui\configs\v1-inference.yaml
creating model quickly: ValueError
Traceback (most recent call last):
  File "threading.py", line 973, in _bootstrap
  File "threading.py", line 1016, in _bootstrap_inner
  File "E:\AI\TensorRT\system\python\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "E:\AI\TensorRT\system\python\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "contextlib.py", line 78, in inner
  File "E:\AI\TensorRT\webui\extensions\sd-webui-EasyPhoto\scripts\sdwebui.py", line 64, in __exit__
    sd_models.reload_model_weights()
  File "E:\AI\TensorRT\webui\modules\sd_models.py", line 977, in reload_model_weights
    load_model(checkpoint_info, already_loaded_state_dict=state_dict)
  File "E:\AI\TensorRT\webui\modules\sd_models.py", line 820, in load_model
    sd_model = instantiate_from_config(sd_config.model, state_dict)
  File "E:\AI\TensorRT\webui\modules\sd_models.py", line 775, in instantiate_from_config
    return constructor(**params)
  File "E:\AI\TensorRT\webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 563, in __init__
    self.instantiate_cond_stage(cond_stage_config)
  File "E:\AI\TensorRT\webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 630, in instantiate_cond_stage
    model = instantiate_from_config(config)
  File "E:\AI\TensorRT\webui\repositories\stable-diffusion-stability-ai\ldm\util.py", line 89, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\AI\TensorRT\webui\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 104, in __init__
    self.transformer = CLIPTextModel.from_pretrained(version)
  File "E:\AI\TensorRT\webui\modules\sd_disable_initialization.py", line 68, in CLIPTextModel_from_pretrained
    res = self.CLIPTextModel_from_pretrained(pretrained_model_name_or_path, *model_args, config=pretrained_model_name_or_path, state_dict={}, **kwargs)
  File "E:\AI\TensorRT\system\python\lib\site-packages\transformers\modeling_utils.py", line 279, in _wrapper
    return func(*args, **kwargs)
  File "E:\AI\TensorRT\system\python\lib\site-packages\transformers\modeling_utils.py", line 3994, in from_pretrained
    raise ValueError(
ValueError: `state_dict` cannot be passed together with a model name or a `gguf_file`. Use one of the two loading strategies.

Failed to create model quickly; will retry using slow method.
Loading VAE weights specified in settings: E:\AI\TensorRT\webui\models\VAE\madebyollin-sdxl-vae-fp16-fix.safetensors
Applying attention optimization: Doggettx... done.
Model loaded in 10.6s (create model: 1.6s, apply weights to model: 8.1s, load VAE: 0.5s, move model to device: 0.2s).
Restoring base VAE
Applying attention optimization: Doggettx... done.
VAE weights loaded.

Additional information

No response