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nitrofusion2-dit-refiners

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nitrofusion2-dit-refiners
File size: 3,212 Bytes
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{
  "strict_load": true,
  "finite": true,
  "diffusers_version": "0.36.0",
  "source_declared_diffusers_version": "0.36.0.dev0",
  "torch_version": "2.14.1",
  "device": "cpu",
  "dtype": [
    "torch.bfloat16"
  ],
  "parameters": 715746304,
  "tensor_count": 56,
  "noise_refiner_validation": {
    "input": "three real COCO128 images encoded by the authentic Z-Image VAE, patchified and embedded with the authentic all_x_embedder, noised at flow-matching t=0.5, real t_embedder adaLN conditioning and upstream create_coordinate_grid RoPE",
    "vae_sha256": "f5b59a26851551b67ae1fe58d32e76486e1e812def4696a4bea97f16604d40a3",
    "vae_identical_to_z_image_turbo": true,
    "assumed_caption_length": 64,
    "assumption_note": "image position ids are offset by the padded caption length upstream; the official Qwen3 text encoder is out of scope, so a fixed 64-token caption length is assumed",
    "per_image": [
      {
        "image": "000000000009.png",
        "source_size": [
          256,
          256
        ],
        "latent_shape": [
          1,
          16,
          32,
          32
        ],
        "patch_shape": [
          256,
          64
        ],
        "noise_refiner_output_shape": [
          1,
          256,
          3840
        ],
        "timestep": 0.5,
        "finite": true,
        "repeat_max_abs_error": 0.0,
        "output_abs_mean": 0.1828508973121643
      },
      {
        "image": "000000000030.png",
        "source_size": [
          256,
          256
        ],
        "latent_shape": [
          1,
          16,
          32,
          32
        ],
        "patch_shape": [
          256,
          64
        ],
        "noise_refiner_output_shape": [
          1,
          256,
          3840
        ],
        "timestep": 0.5,
        "finite": true,
        "repeat_max_abs_error": 0.0,
        "output_abs_mean": 0.17951683700084686
      },
      {
        "image": "000000000034.png",
        "source_size": [
          256,
          256
        ],
        "latent_shape": [
          1,
          16,
          32,
          32
        ],
        "patch_shape": [
          256,
          64
        ],
        "noise_refiner_output_shape": [
          1,
          256,
          3840
        ],
        "timestep": 0.5,
        "finite": true,
        "repeat_max_abs_error": 0.0,
        "output_abs_mean": 0.16232071816921234
      }
    ]
  },
  "context_refiner_validation": {
    "input": "synthetic Qwen3-shaped caption features (seeded), passed through the authentic cap_embedder",
    "cap_len": 64,
    "output_shape": [
      1,
      64,
      3840
    ],
    "finite": true,
    "repeat_max_abs_error": 0.0,
    "output_abs_mean": 0.5141564011573792
  },
  "elapsed_seconds": 20.54,
  "limitations": "Component-level CPU test only. The 30-layer DiT trunk, final layer, VAE decoder and text encoder are excluded, so this does not evaluate image generation quality or end-to-end parity with the full NitroFusion2 pipeline. context_refiner inputs are synthetic because the official Qwen3 text encoder was not downloaded. bfloat16 CPU execution is not claimed to match GPU inference. COCO128 may overlap training data."
}