Added ability to ignore last n layers in FrozenCLIPEmbedder

        remade_batch_tokens_of_same_length = [x + [self.wrapped.tokenizer.eos_token_id] * (target_token_count - len(x)) for x in remade_batch_tokens]

        tokens = torch.asarray(remade_batch_tokens_of_same_length).to(device)

        tmp = -opts.CLIP_ignore_last_layers

        if (opts.CLIP_ignore_last_layers == 0):

            outputs = self.wrapped.transformer(input_ids=tokens, position_ids=position_ids)

            z = outputs.last_hidden_state

        else:

            outputs = self.wrapped.transformer(input_ids=tokens, position_ids=position_ids, output_hidden_states=tmp)

            z = outputs.hidden_states[tmp]

            z = self.wrapped.transformer.text_model.final_layer_norm(z)

        # restoring original mean is likely not correct, but it seems to work well to prevent artifacts that happen otherwise

        batch_multipliers_of_same_length = [x + [1.0] * (target_token_count - len(x)) for x in batch_multipliers]

    "use_old_emphasis_implementation": OptionInfo(False, "Use old emphasis implementation. Can be useful to reproduce old seeds."),

    "enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),

    "filter_nsfw": OptionInfo(False, "Filter NSFW content"),

    'CLIP_ignore_last_layers': OptionInfo(0, "Ignore last layers of CLIP model", gr.Slider, {"minimum": 0, "maximum": 5, "step": 1}),

    "random_artist_categories": OptionInfo([], "Allowed categories for random artists selection when using the Roll button", gr.CheckboxGroup, {"choices": artist_db.categories()}),

}))