{
  "schema": "studycommons.hero.provenance.v2",
  "asset_role": "Study Commons public Daily Read hero",
  "slug": "why-was-the-rideau-canal-built-how-locks-work",
  "generation_id": "img-f7081a66839242238ff0a33a",
  "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": "A carefully realistic elevated landscape view of a historic stone-walled Canadian canal lock, a small pleasure boat inside the lock chamber, wooden lock gates, calm water on different levels and leafy eastern Ontario landscape; no exaggerated waterfall, no writing. Wide 16:9 composition, high-quality natural educational editorial illustration, polished professional image suitable for ages 8 to 11, clear one main subject, attractive lighting, carefully rendered proportions and realistic objects, generous uncluttered composition. No typography, text, captions, labels, diagrams, arrows, signatures, watermarks, logos, collage, frames or split panels.",
  "prompt_sha256": "02180988f0e13a645fdec50e45e44091d5050944708866faaede97373760dfdc",
  "negative_prompt": "",
  "seed": 2026110102,
  "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": "2026-11-01T12:43:48.755875+00:00",
  "output_png_sha256": "f7081a66839242238ff0a33a5c05aad60cd2bd3cada88028add5c6eda9916fa8",
  "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": "f7081a66839242238ff0a33a5c05aad60cd2bd3cada88028add5c6eda9916fa8",
    "output_avif_sha256": "0a0c45a4e90fb5f68210227bf26b77cad8f14cf0bd3f2b605ec80219abde2b12",
    "output_avif_width": 1280,
    "output_avif_height": 720,
    "output_avif_bytes": 195116
  },
  "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."
}