Upload transformer/config.json
Browse files- transformer/config.json +63 -0
transformer/config.json
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{
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"_class_name": "ZImageTransformer2DModel",
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"_diffusers_version": "0.36.0.dev0",
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"_name_or_path": "Tongyi-MAI/Z-Image-Turbo",
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"all_f_patch_size": [
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1
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],
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"all_patch_size": [
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2
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],
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"axes_dims": [
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32,
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48,
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48
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],
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"axes_lens": [
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1536,
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512,
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512
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],
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"cap_feat_dim": 2560,
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"dim": 3840,
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"in_channels": 16,
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"n_heads": 30,
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"n_kv_heads": 30,
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"n_layers": 30,
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"n_refiner_layers": 2,
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"norm_eps": 1e-05,
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"qk_norm": true,
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"quantization_config": {
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"add_skip_keys": true,
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"dequantize_fp32": false,
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"group_size": -1,
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"is_integer": true,
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"is_training": false,
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"modules_dtype_dict": {},
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"modules_to_not_convert": [
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"layers.0.adaLN_modulation.0.weight",
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"all_x_embedder",
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"t_embedder",
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"cap_embedder",
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"all_final_layer"
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],
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"non_blocking": false,
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"quant_conv": false,
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"quant_method": "sdnq",
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"quantization_device": "xpu",
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"quantized_matmul_dtype": null,
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"return_device": "cpu",
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"sdnq_version": "0.1.2",
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"svd_rank": 32,
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"svd_steps": 8,
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"use_grad_ckpt": true,
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"use_quantized_matmul": false,
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"use_quantized_matmul_conv": false,
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"use_static_quantization": true,
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"use_stochastic_rounding": false,
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"use_svd": false,
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"weights_dtype": "int8"
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},
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"rope_theta": 256.0,
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"t_scale": 1000.0
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}
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