Add SSD-1B as a supported model

            errors.display(e, "applying cross attention optimization")

            undo_optimizations()

    def conv_ssd(self, m):

            delattr(m.model.diffusion_model.middle_block, '1')

            delattr(m.model.diffusion_model.middle_block, '2')

            for i in ['9','8','7','6','5','4']:

                delattr(m.model.diffusion_model.input_blocks[7][1].transformer_blocks,i)

                delattr(m.model.diffusion_model.input_blocks[8][1].transformer_blocks,i)

                delattr(m.model.diffusion_model.output_blocks[0][1].transformer_blocks,i)

                delattr(m.model.diffusion_model.output_blocks[1][1].transformer_blocks,i)

            delattr(m.model.diffusion_model.output_blocks[4][1].transformer_blocks,'1')

            delattr(m.model.diffusion_model.output_blocks[5][1].transformer_blocks,'1') 

    def hijack(self, m):

        conditioner = getattr(m, 'conditioner', None)

        if conditioner:

    model.is_sdxl = hasattr(model, 'conditioner')

    model.is_sd2 = not model.is_sdxl and hasattr(model.cond_stage_model, 'model')

    model.is_sd1 = not model.is_sdxl and not model.is_sd2

    model.is_ssd = model.is_sdxl and 'model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_q.weight' not in state_dict.keys()

    if model.is_sdxl:

        sd_models_xl.extend_sdxl(model)

    if model.is_ssd:

        sd_hijack.model_hijack.conv_ssd(model)

    model.load_state_dict(state_dict, strict=False)

    timer.record("apply weights to model")

    """structure with additional information about the file with model's weights"""

    is_sdxl: bool

    """True if the model's architecture is SDXL"""

    """True if the model's architecture is SDXL or SSD"""

    is_ssd: bool

    """True if the model is SSD"""

    is_sd2: bool

    """True if the model's architecture is SD 2.x"""