{
  "schema": "studycommons.hero.provenance.v2",
  "asset_role": "Study Commons public Daily Read hero",
  "slug": "what-is-the-oak-ridges-moraine",
  "generation_id": "img-b505c36076cc716164e97e72",
  "generator": "QwenImage21Pipeline",
  "model": "Qwen/Qwen-Image-2.1-Turbo",
  "model_revision": "fc13ba1986fcb905854dc8de2f52eee395f49b5b",
  "model_license": "Qwen Research License, non-commercial research/evaluation only; commercial use requires separate permission",
  "model_index_sha256": "97e2febeb19d93cb41fa44807cde8bd42757950b5dffeacdb0331fb2d390cf20",
  "checkpoint_sha256": "37230cd77d377c0be0acc06d628fd8a6e978e23eb2c530b73fa98df54ef62557",
  "renderer_source_sha256": "de2a451bc7c95d530b8428e30cfc8d35a876c701915df1f61ed49165ebfda350",
  "prompt": "Wide full-bleed documentary-style landscape photograph of the Oak Ridges Moraine region north of Toronto: gently rolling continuous hills, dense mixed deciduous and conifer woodland, small wetlands and woodland trails among autumn trees under hazy Ontario morning light, realistic glacial landscape. Camera viewpoint from a hilltop, expansive sky filling the upper third, natural earth ground extending uninterrupted to all four frame edges. Absolutely NO isolated miniature model, tabletop diorama, white studio background, cutaway, map or floating terrain shape. Professional horizontal 16:9 editorial illustration, natural believable anatomy and objects, no typography, text, logos, marks or watermarks.",
  "prompt_sha256": "fca2eaf555725cf0cb4b81126687cbadae7872f8071ac21121fc886878a4a7f1",
  "negative_prompt": "",
  "seed": 2026114114,
  "width": 1312,
  "height": 736,
  "num_inference_steps": 8,
  "true_cfg_scale": 1.0,
  "scheduler": "FlowMatchEulerDiscreteScheduler",
  "sampling": "explicit-checkpoint-8-sigma",
  "sample_sigmas": [
    1.0,
    0.978453,
    0.95418,
    0.926626,
    0.89508,
    0.845148,
    0.704534,
    0.414568
  ],
  "generator_device": "cpu",
  "generator_algorithm": "torch.Generator('cpu').manual_seed(seed)",
  "torch_dtype": "bfloat16",
  "cpu_offload": "model",
  "use_kv_cache": true,
  "vae_tiling": true,
  "lora": null,
  "reference_images": [],
  "gpu": "NVIDIA CUDA (hardware-specific machine details withheld)",
  "runtime": {
    "torch": "2.13.0+cu130",
    "diffusers": "0.41.0",
    "transformers": "5.17.0",
    "cuda": "13.0"
  },
  "job_completed_at": "2026-11-01T12:52:44.966989+00:00",
  "output_png_sha256": "b505c36076cc716164e97e729fa7c9bcdd5883ba935a0562f66c5f2bbb2e2c15",
  "output_png_dimensions": [
    1312,
    736
  ],
  "postprocess": {
    "format": "AVIF",
    "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers",
    "filter": "scale=1280:720:force_original_aspect_ratio=increase:flags=lanczos,crop=1280:720",
    "encoder": "libaom-av1",
    "still_picture": 1,
    "crf": 16,
    "bitrate": "0",
    "cpu_used": 6,
    "pix_fmt": "yuv420p",
    "frames": 1,
    "source_png_sha256": "b505c36076cc716164e97e729fa7c9bcdd5883ba935a0562f66c5f2bbb2e2c15",
    "output_avif_sha256": "bd76dbfe01c97ecb1e9ed8658d82ad208f4199445b9c8b1bc0c40993af45a0d8",
    "output_avif_width": 1280,
    "output_avif_height": 720,
    "output_avif_bytes": 97545
  },
  "reproduce": {
    "recipe": "QwenImage21Pipeline.from_pretrained(model_path, dtype=torch.bfloat16); enable_model_cpu_offload(); vae.enable_tiling(); pipeline(prompt=prompt, width=width, height=height, true_cfg_scale=1.0, num_inference_steps=8, sigmas=sample_sigmas, use_kv_cache=True, generator=torch.Generator('cpu').manual_seed(seed)); encode PNG to AVIF using postprocess fields",
    "model_source": "Hugging Face model ID and exact model_revision above, subject to the stated license",
    "verification": "Compare generated PNG and AVIF against SHA-256 fields. Accelerator and software differences may prevent bit-for-bit equality."
  },
  "provenance_note": "Generation parameters and cryptographic integrity chain, not proof of legal ownership or absence of third-party rights. Private machine paths are excluded."
}