{
  "schema": 1,
  "kind": "training-job",
  "id": "krea2-lora",
  "profile": "krea2_lora_train",
  "name": "Krea 2 LoRA Trainer",
  "description": "Train a Krea 2 LoRA with ostris/ai-toolkit on a rented GPU, from a validated dataset and a trigger word, then smoke-test the result against Krea 2 text-to-image. Not a ComfyUI graph: job.json holds the hyperparameters, the ai-toolkit config template and the validation policy.",
  "version": {
    "tag": "v1",
    "ordinal": 1,
    "date": "2026-10-26",
    "release_note": "The trainer every run before packaging used: rank 16, AdamW 8-bit at 1e-4, 1024px, Raw or Turbo (through the training adapter) on ai-toolkit 0.13.23, judged by a krea2-txt2img v8 smoke test."
  },
  "generation_settings": [
    {
      "id": "dataset",
      "displayName": "Dataset",
      "description": "A .tar.gz of images, each with an optional same-named .txt caption, uploaded or fetched from an https link. It is validated before it is accepted; the manifest shows what will train.",
      "control": "dataset",
      "default": "",
      "group": "Dataset",
      "required": true
    },
    {
      "id": "trigger_word",
      "displayName": "Trigger word",
      "description": "One rare token, like krx2person, spliced into every caption so the LoRA learns to answer to it. Use the same word in prompts at inference.",
      "control": "text",
      "default": "",
      "group": "Dataset",
      "required": true
    },
    {
      "id": "checkpoint",
      "displayName": "Base checkpoint",
      "description": "The Krea 2 model the LoRA is trained against; its bf16 build is what trains. Empty uses Krea 2 Raw, the base intended for fine-tuning \u2014 a LoRA trained on Raw also works on Turbo. Turbo bases train through ostris's training adapter.",
      "control": "checkpoint",
      "default": "",
      "group": "Model",
      "required": false
    },
    {
      "id": "steps",
      "displayName": "Steps",
      "description": "Training steps. 0 scales them to the dataset (50 per image, 1,000-3,000). More is not better past the point the samples stop improving; the operator ceiling refuses anything above it.",
      "control": "number",
      "default": 0,
      "group": "Training",
      "required": false,
      "summaryLabel": "Steps",
      "min": 0,
      "max": 20000,
      "step": 50
    }
  ],
  "media_modes": [
    "krea2_lora_train"
  ],
  "runtime": {
    "image": "ostris/aitoolkit:0.13.23",
    "entrypoint": [
      "python",
      "run.py"
    ],
    "min_vram_gb": 48,
    "hf_home": "/workspace/hf-cache",
    "stall_timeout_seconds": 1800.0
  }
}