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{
"_class_name": "Flux2Transformer2DModel",
"_diffusers_version": "0.36.0",
"_name_or_path": "black-forest-labs/FLUX.2-dev",
"attention_head_dim": 128,
"axes_dims_rope": [
32,
32,
32,
32
],
"eps": 1e-06,
"in_channels": 128,
"joint_attention_dim": 15360,
"mlp_ratio": 3.0,
"num_attention_heads": 48,
"num_layers": 8,
"num_single_layers": 48,
"out_channels": null,
"patch_size": 1,
"quantization_config": {
"include_input_output_embeddings": false,
"modules_to_not_convert": null,
"quant_method": "torchao",
"quant_type": {
"default": {
"_data": {
"activation_dtype": {
"_data": "float8_e4m3fn",
"_type": "torch.dtype"
},
"activation_value_lb": null,
"activation_value_ub": null,
"granularity": [
{
"_data": {},
"_type": "PerTensor",
"_version": 1
},
{
"_data": {},
"_type": "PerTensor",
"_version": 1
}
],
"kernel_preference": {
"_data": "AUTO",
"_type": "KernelPreference"
},
"mm_config": {
"_data": {
"emulate": false,
"pad_inner_dim": false,
"use_fast_accum": true
},
"_type": "Float8MMConfig",
"_version": 1
},
"set_inductor_config": true,
"weight_dtype": {
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"_type": "torch.dtype"
}
},
"_type": "Float8DynamicActivationFloat8WeightConfig",
"_version": 2
}
},
"quant_type_kwargs": {},
"untie_embedding_weights": false
},
"rope_theta": 2000,
"timestep_guidance_channels": 256
}