generalise to popular lossless formats

            data = []

            if filename.upper().endswith('.PNG'):

            if os.path.splitext(filename.upper())[-1] in ['.PNG', '.WEBP', '.JXL', '.AVIF']:

                embed_image = Image.open(path)

                if 'sd-ti-embedding' in embed_image.text:

                if hasattr(embed_image, 'text') and 'sd-ti-embedding' in embed_image.text:

                    data = embedding_from_b64(embed_image.text['sd-ti-embedding'])

                    name = data.get('name', name)

                else:

                    data = extract_image_data_embed(embed_image)

                    name = data.get('name', name)

            elif filename.upper().endswith('.WEBP'):

                embed_image = Image.open(path)

                data = extract_image_data_embed(embed_image)

                name = data.get('name', name)

            else:

                data = torch.load(path, map_location="cpu")