{
  "_class_name": "MageFlowPipeline",
  "_generation_defaults": {
    "guidance_scale": 1.0,
    "num_inference_steps": 4,
    "static_shift": 6.0
  },
  "_mage_flow_version": "0.1.0",
  "_quantization": {
    "text_encoder": "comfy_kitchen_fp8_e4m3fn_scaled",
    "transformer": "mage_flow_nvfp4_turbo_balanced_v1"
  },
  "_runtime_modes": {
    "resident": {
      "description": "retain text encoder, transformer, and VAE on GPU",
      "peak_allocated_gib_1024": 11.39
    },
    "staged": {
      "description": "offload each component after its stage",
      "peak_allocated_gib_1024": 5.89
    }
  },
  "_runtime_optimizations": {
    "cfg_one_single_branch": true,
    "negative_branch_condition": "guidance_scale > 1 and nonempty negative prompt"
  },
  "_source_model": {
    "repo_id": "microsoft/Mage-Flow-Turbo",
    "revision": "34f3a2d25248500a5352646b335775c07e1bd8aa",
    "transformer_sha256": "6df47df3d7efc9ebdad075b87b3e9e4f74d09dca672d592271788f0ee27ab97d"
  },
  "_text_encoder_path": "text_encoder",
  "_transformer_variant": {
    "name": "turbo_balanced",
    "native_runtime_defaults": {
      "activation_scale_search": "amax",
      "down_activation_scale_multiplier": 0.75,
      "up_activation_scale_multiplier": 1.0
    }
  },
  "_vae_source": "vae/diffusion_pytorch_model.safetensors",
  "scheduler": [
    "diffusers",
    "FlowMatchEulerDiscreteScheduler"
  ],
  "text_encoder": [
    "transformers",
    "Qwen3VLForConditionalGeneration"
  ],
  "tokenizer": [
    "transformers",
    "AutoProcessor"
  ],
  "transformer": [
    "mage_flow",
    "MageFlow"
  ],
  "vae": [
    "mage_flow",
    "MageVAE"
  ]
}