Transformers
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Inference Endpoints
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{
    "_class_name": "ControlNetModel",
    "_diffusers_version": "0.16.0.dev0",
    "_name_or_path": "./controlnet_flax",
    "act_fn": "silu",
    "attention_head_dim": 8,
    "block_out_channels": [
      320,
      640,
      1280,
      1280
    ],
    "class_embed_type": null,
    "conditioning_embedding_out_channels": [
      16,
      32,
      96,
      256
    ],
    "controlnet_conditioning_channel_order": "rgb",
    "cross_attention_dim": 768,
    "down_block_types": [
      "CrossAttnDownBlock2D",
      "CrossAttnDownBlock2D",
      "CrossAttnDownBlock2D",
      "DownBlock2D"
    ],
    "downsample_padding": 1,
    "dropout": 0.0,
    "flip_sin_to_cos": true,
    "freq_shift": 0,
    "global_pool_conditions": false,
    "in_channels": 4,
    "layers_per_block": 2,
    "mid_block_scale_factor": 1,
    "norm_eps": 1e-05,
    "norm_num_groups": 32,
    "num_class_embeds": null,
    "only_cross_attention": false,
    "projection_class_embeddings_input_dim": null,
    "resnet_time_scale_shift": "default",
    "sample_size": 32,
    "upcast_attention": false,
    "use_linear_projection": false
  }