{
  "schema": "studycommons.hero.provenance.v2",
  "asset_role": "Study Commons public Daily Read hero",
  "slug": "how-does-soap-work-grease-water-micelles",
  "generation_id": "img-04e1bfec5e753863a656bd1d",
  "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": "9668ef4c512a6a71ad2a84ae250b936f143c43d321d1e5dd93967307d41edea2",
  "prompt": "A close-up of a child's hands covered in rich foamy soap bubbles under a kitchen sink faucet, washing away a visible thin smear of cooking grease from fingertips after eating pizza. A clean bowl and a folded dish towel on the counter, bright soft daylight. Show realistic soap foam and running water, no exaggerated germs or impossible molecules. Full-bleed wide 16:9 photorealistic editorial illustration for a Canadian Grade 3–5 reading article. Real-world proportions, plausible anatomy and physics, emotionally warm and visually clear. No text, labels, lettering, symbols, diagrams, logos, watermarks, collage, white border, or split panels.",
  "prompt_sha256": "06ec6ab5c5530564531502d4f75ed11f0d30577ee8b8c0cdd9b7d4c670fb8719",
  "negative_prompt": "",
  "seed": 2026111001,
  "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": "2026-11-10T14:20:29.465688+00:00",
  "output_png_sha256": "04e1bfec5e753863a656bd1d696ca02b1ef019e2aaeaf8b8ed4740edac06da0a",
  "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": "04e1bfec5e753863a656bd1d696ca02b1ef019e2aaeaf8b8ed4740edac06da0a",
    "output_avif_sha256": "b78b261b59e48a6cc52c4ed1b07a1eb6ed393f29e9b71c4ec56ddd0f389c7610",
    "output_avif_width": 1280,
    "output_avif_height": 720,
    "output_avif_bytes": 49641
  },
  "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."
}