Hi, I encountered a bug with applying a gradient

[ARandomUserFromGithub]

When I installed Aesthetic Gradient, yesterday, it worked amazingly well, with both 1.5 and 2.0 models, using Automatic1111.
When I restarted the AI, it stopped working.
Now when I try to generate something, with either 1.5 or 2.x model, it gives me this error:

Error completing request
Arguments: ('', '', 'Sci-Fi traveller station', 'None', 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 768, 768, False, 0.7, 0, 0, 0, False, True, False, 0, -1, 0.9, 5, '0.0001', False, 'djzCthuluAngelsV0_0', '', 0.1, False, 0, 0, 384, False, True, True, True, 1, False, False, False, False, '', 1, '', 0, '', True, False, False, 0, 4, 384, 384, False, False, True, True, True, False, True, 1) {}
Traceback (most recent call last):
File "C:\sd1x5\stable-diffusion-webui\modules\call_queue.py", line 45, in f
res = list(func(*args, **kwargs))
File "C:\sd1x5\stable-diffusion-webui\modules\call_queue.py", line 28, in f
res = func(*args, **kwargs)
File "C:\sd1x5\stable-diffusion-webui\modules\txt2img.py", line 49, in txt2img
processed = process_images(p)
File "C:\sd1x5\stable-diffusion-webui\modules\processing.py", line 464, in process_images
res = process_images_inner(p)
File "C:\sd1x5\stable-diffusion-webui\modules\processing.py", line 556, in process_images_inner
uc = prompt_parser.get_learned_conditioning(shared.sd_model, negative_prompts, p.steps)
File "C:\sd1x5\stable-diffusion-webui\modules\prompt_parser.py", line 138, in get_learned_conditioning
conds = model.get_learned_conditioning(texts)
File "C:\sd1x5\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 669, in get_learned_conditioning
c = self.cond_stage_model(c)
File "C:\sd1x5\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "C:\sd1x5\stable-diffusion-webui\modules\sd_hijack_clip.py", line 219, in forward
z1 = self.process_tokens(tokens, multipliers)
File "C:\sd1x5\stable-diffusion-webui\extensions\stable-diffusion-webui-aesthetic-gradients\aesthetic_clip.py", line 205, in call
tokenizer = shared.sd_model.cond_stage_model.tokenizer
File "C:\sd1x5\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1207, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'FrozenOpenCLIPEmbedderWithCustomWords' object has no attribute 'tokenizer'