transformer/config.json

{
  "_class_name": "FluxTransformer2DModel",
  "_commit_hash": null,
  "_diffusers_version": "0.34.0",
  "_use_default_values": [
    "out_channels",
    "axes_dims_rope"
  ],
  "attention_head_dim": 128,
  "axes_dims_rope": [
    16,
    56,
    56
  ],
  "guidance_embeds": true,
  "in_channels": 64,
  "joint_attention_dim": 4096,
  "neuron": {
    "auto_cast": "matmul",
    "auto_cast_type": "bf16",
    "compiler_type": "neuronx-cc",
    "compiler_version": "2.19.8089.0+8ab9f450",
    "dynamic_batch_size": false,
    "inline_weights_to_neff": true,
    "input_names": [
      "hidden_states",
      "encoder_hidden_states",
      "pooled_projections",
      "timestep",
      "image_rotary_emb",
      "guidance"
    ],
    "model_type": "flux-transformer-2d",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "out_hidden_states"
    ],
    "static_batch_size": 1,
    "static_encoder_hidden_size": 768,
    "static_height": 128,
    "static_num_channels": 64,
    "static_patch_size": 1,
    "static_rotary_axes_dim": 128,
    "static_sequence_length": 512,
    "static_vae_scale_factor": 8,
    "static_width": 128,
    "task": "semantic-segmentation",
    "tensor_parallel_size": 4
  },
  "num_attention_heads": 24,
  "num_layers": 19,
  "num_single_layers": 38,
  "out_channels": null,
  "patch_size": 1,
  "pooled_projection_dim": 768,
  "transformers_version": null
}