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It contains the 4 most used controlnet models (pose, canny, etc). You can easily download more by clicking "Start model installer" in the starter. I left the others out, because that would increase the download by 10 GB.

But I can also make an optional "all included" version. :)

Yes, it would be great to have a build that has everything, that stands out from the alternatives. I'm looking forward to that.

Canny is the only controlnet model that sort of works (except with inpainting). The other controlnet models

give errors in both the UI and the console. Something about controlnet processors is missing. Here is an example of an attempt to use OpenPose:

[InvokeAI]::ERROR --> Traceback (most recent call last):

  File "C:\Users\user\invokeai3_standalone\env\lib\site-packages\invokeai\app\services\processor.py", line 70, in __process

    outputs = invocation.invoke(

  File "C:\Users\user\invokeai3_standalone\env\lib\site-packages\invokeai\app\invocations\controlnet_image_processors.py", line 221, in invoke

    processed_image = self.run_processor(raw_image)

  File "C:\Users\user\invokeai3_standalone\env\lib\site-packages\invokeai\app\invocations\controlnet_image_processors.py", line 385, in run_processor

    openpose_processor = OpenposeDetector.from_pretrained(

  File "C:\Users\user\invokeai3_standalone\env\lib\site-packages\controlnet_aux\open_pose\__init__.py", line 103, in from_pretrained

    body_model_path = hf_hub_download(pretrained_model_or_path, filename, cache_dir=cache_dir)

  File "C:\Users\user\invokeai3_standalone\env\lib\site-packages\huggingface_hub\utils\_validators.py", line 118, in _inner_fn

    return fn(*args, **kwargs)

  File "C:\Users\user\invokeai3_standalone\env\lib\site-packages\huggingface_hub\file_download.py", line 1291, in hf_hub_download

    raise LocalEntryNotFoundError(

huggingface_hub.utils._errors.LocalEntryNotFoundError: Connection error, and we cannot find the requested files in the disk cache. Please try again or make sure your Internet connection is on.