txt2mask with fastsam, clip_surgery

Due diligence

[X] I checked for similar issues and couldn't find any.
[X] My WebUI and Unprompted are both up-to-date.
[X] I disabled my other extensions but the problem persists.

Describe the bug

Using a txt2mask method other than clipseg causes a crash. Same thing with zoomenhance. See: #145

Prompt

[after][txt2mask method=clip_surgery]face[/txt2mask][img2img][/after]a person

Log output

*** Error running postprocess: D:\stable-diffusion-webui\extensions\_unprompted\scripts\unprompted.py
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui\extensions\_unprompted\lib_unprompted\shortcodes.py", line 140, in render
        return str(self.handler(self.token.keyword, self.pargs, self.kwargs, context, content))
      File "D:\stable-diffusion-webui\extensions\_unprompted\lib_unprompted\shared.py", line 87, in handler
        return (self.shortcode_objects[f"{keyword}"].run_block(pargs, kwargs, context, content))
      File "D:\stable-diffusion-webui\extensions\_unprompted/shortcodes\stable_diffusion\txt2mask.py", line 595, in run_block
        self.image_mask = get_mask().resize((self.init_image.width, self.init_image.height))
      File "D:\stable-diffusion-webui\extensions\_unprompted/shortcodes\stable_diffusion\txt2mask.py", line 393, in get_mask
        sam = sam_model_registry[model_type](checkpoint=sam_file)
      File "D:\stable-diffusion-webui\venv\lib\site-packages\segment_anything\build_sam.py", line 15, in build_sam_vit_h
        return _build_sam(
      File "D:\stable-diffusion-webui\venv\lib\site-packages\segment_anything\build_sam.py", line 105, in _build_sam
        state_dict = torch.load(f)
      File "D:\stable-diffusion-webui\modules\safe.py", line 108, in load
        return load_with_extra(filename, *args, extra_handler=global_extra_handler, **kwargs)
      File "D:\stable-diffusion-webui\modules\safe.py", line 156, in load_with_extra
        return unsafe_torch_load(filename, *args, **kwargs)
      File "D:\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 815, in load
        return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
      File "D:\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 1033, in _legacy_load
        magic_number = pickle_module.load(f, **pickle_load_args)
    _pickle.UnpicklingError: A load persistent id instruction was encountered,
    but no persistent_load function was specified.

    The above exception was the direct cause of the following exception:

    Traceback (most recent call last):
      File "D:\stable-diffusion-webui\modules\scripts.py", line 651, in postprocess
        script.postprocess(p, processed, *script_args)
      File "D:\stable-diffusion-webui\extensions\_unprompted\scripts\unprompted.py", line 864, in postprocess
        processed = Unprompted.after(p, processed)
      File "D:\stable-diffusion-webui\extensions\_unprompted\lib_unprompted\shared.py", line 192, in after
        val = self.shortcode_objects[i].after(p, processed)
      File "D:\stable-diffusion-webui\extensions\_unprompted/shortcodes\basic\after.py", line 98, in after
        self.Unprompted.process_string(content, "after")
      File "D:\stable-diffusion-webui\extensions\_unprompted\lib_unprompted\shared.py", line 201, in process_string
        string = self.shortcode_parser.parse(self.sanitize_pre(string, self.Config.syntax.sanitize_before), context)
      File "D:\stable-diffusion-webui\extensions\_unprompted\lib_unprompted\shortcodes.py", line 251, in parse
        return stack.pop().render(context).replace(self.esc_start,"")
      File "D:\stable-diffusion-webui\extensions\_unprompted\lib_unprompted\shortcodes.py", line 55, in render
        return ''.join(child.render(context) for child in self.children)
      File "D:\stable-diffusion-webui\extensions\_unprompted\lib_unprompted\shortcodes.py", line 55, in <genexpr>
        return ''.join(child.render(context) for child in self.children)
      File "D:\stable-diffusion-webui\extensions\_unprompted\lib_unprompted\shortcodes.py", line 144, in render
        raise ShortcodeRenderingError(msg) from ex
    lib_unprompted.shortcodes.ShortcodeRenderingError: An exception was raised while rendering the 'txt2mask' shortcode in line 1.

Unprompted version

10.1.4

WebUI version

1.6.0

Other comments

My googling of the error seems to suggest either an incompatible file or an incompatible version of torch. I changed the model file to one I've used with the Segment Anything extension successfully, and I get the same error. Updating the torch version breaks the webui with an error stating torch can't access the GPU and causes other dependency errors. I don't think it's a problem on my end, because I don't have problems with other extensions that use sam.

I'm not too knowledgeable on the subject, but is segment anything designed to take a text prompt as input? In the segment anything extension, it uses groundingdino to take a text prompt, and the output from sam just tries to infer the object within the bounding boxes generated by groundingdino. But, sam itself isn't taking text, it only takes bounding boxes and points as input. Maybe that's just how that extension works?

ThereforeGames / unprompted