| { |
| "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 |
| } |
| } |
|
|
