transformer/config.json

{
  "_class_name": "ErnieImageTransformer2DModel",
  "_diffusers_version": "0.38.0.dev0",
  "_name_or_path": "Baidu/ERNIE-Image",
  "eps": 1e-06,
  "ffn_hidden_size": 12288,
  "hidden_size": 4096,
  "in_channels": 128,
  "num_attention_heads": 32,
  "num_layers": 36,
  "out_channels": 128,
  "patch_size": 1,
  "qk_layernorm": true,
  "quantization_config": {
    "modules_to_not_convert": [
      "norm",
      "layer_norm",
      "ln",
      "embed_tokens",
      "lm_head",
      "proj_out"
    ],
    "quant_method": "quanto",
    "weights_dtype": "int8"
  },
  "rope_axes_dim": [
    32,
    48,
    48
  ],
  "rope_theta": 256,
  "text_in_dim": 3072
}