Upload transformer/config.json with huggingface_hub
Browse files- transformer/config.json +57 -0
transformer/config.json
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{
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"_class_name": "FluxTransformer2DModel",
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"_commit_hash": null,
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"_diffusers_version": "0.35.0.dev0",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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16,
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56,
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56
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],
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"guidance_embeds": true,
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"in_channels": 64,
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"joint_attention_dim": 4096,
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"neuron": {
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"auto_cast": null,
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"auto_cast_type": null,
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"compiler_type": "neuronx-cc",
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"compiler_version": "2.19.8089.0+8ab9f450",
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"dynamic_batch_size": false,
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"float_dtype": "bf16",
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"inline_weights_to_neff": false,
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"input_names": [
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"hidden_states",
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"encoder_hidden_states",
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"pooled_projections",
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"timestep",
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"image_rotary_emb",
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"guidance"
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],
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"int_dtype": "int64",
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"model_type": "flux-transformer-2d",
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"optlevel": "2",
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"output_attentions": false,
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"output_hidden_states": false,
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"output_names": [
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"out_hidden_states"
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],
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"static_batch_size": 1,
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"static_encoder_hidden_size": 768,
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"static_height": 128,
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"static_num_channels": 64,
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"static_patch_size": 1,
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"static_rotary_axes_dim": 128,
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"static_sequence_length": 512,
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"static_vae_scale_factor": 8,
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"static_width": 128,
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"task": "semantic-segmentation",
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"tensor_parallel_size": 8
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},
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"num_attention_heads": 24,
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"num_layers": 19,
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"num_single_layers": 38,
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"out_channels": null,
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"patch_size": 1,
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"pooled_projection_dim": 768,
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"transformers_version": null
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}
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