{
  "id": "comfyui_sd",
  "name": "Stable Diffusion + LoRA (local, ComfyUI)",
  "category": "generate",
  "description": "Prompt -> image via local SD/SDXL checkpoints + LoRAs (ComfyUI on Metal). Stacks multiple LoRAs and supports ControlNet (recolour a garment into N colourways with an identical silhouette). Cannot load FLUX/Z-Image LoRAs \u2014 those go to flux_local.",
  "accepts": [
    "image"
  ],
  "produces": [
    "image"
  ],
  "resources": "gpu",
  "entry": "run.py",
  "params_schema": {
    "type": "object",
    "properties": {
      "prompt": {
        "type": "string",
        "default": "",
        "description": "Positive prompt (put LoRA trigger words early)"
      },
      "negative": {
        "type": "string",
        "default": "(worst quality, low quality:1.4), blurry, jpeg artifacts, watermark, text, deformed, bad anatomy, extra fingers",
        "description": "Negative prompt (ignored at cfg 1.0 on Turbo/Lightning)"
      },
      "checkpoint": {
        "type": "string",
        "default": "Hyper_Realism_1.2_fp16.safetensors",
        "description": "SD1.5 = Hyper_Realism_1.2_fp16 (the only one LoRAs work with); SDXL = bigLust_v16 / sd_xl_base_1.0"
      },
      "lora": {
        "type": [
          "string",
          "array"
        ],
        "default": "",
        "description": "LoRA filename, or a LIST to stack them (style + texture together). Each entry may carry its own weight as 'name=0.6'. A LoRA on the wrong base architecture is a SILENT no-op \u2014 filenames lie, check metadata."
      },
      "lora_weight": {
        "type": [
          "number",
          "array"
        ],
        "default": 0.8,
        "minimum": 0,
        "maximum": 2,
        "description": "Weight, or a list matching `lora` order. Per-entry 'name=0.6' wins."
      },
      "clip_skip": {
        "type": "integer",
        "enum": [
          1,
          2
        ],
        "default": 2,
        "description": "2 for all the local SD1.5 LoRAs (their training config)"
      },
      "width": {
        "type": "integer",
        "default": 512,
        "description": "SD1.5: 512 (768 max). SDXL: 1024. Turbo: 512"
      },
      "height": {
        "type": "integer",
        "default": 512,
        "description": "SD1.5: 512/768. SDXL: 1024"
      },
      "steps": {
        "type": "integer",
        "default": 25,
        "description": "SD1.5/SDXL: 25-30. Turbo: 1-4. Lightning: 8"
      },
      "cfg": {
        "type": "number",
        "default": 7.0,
        "description": "SD1.5/SDXL: 5-8. Turbo: 1.0. Lightning: 1-2 (wrong cfg = fried image)"
      },
      "sampler": {
        "type": "string",
        "default": "dpmpp_2m",
        "description": "dpmpp_2m (+karras) is the workhorse; euler for Turbo/Lightning"
      },
      "scheduler": {
        "type": "string",
        "default": "karras",
        "description": "karras normally; sgm_uniform for Lightning"
      },
      "seed": {
        "type": "integer",
        "default": -1,
        "description": "-1 = random. Fix it when tuning LoRA weight."
      },
      "batch": {
        "type": "integer",
        "default": 1,
        "minimum": 1,
        "maximum": 16,
        "description": "Images per job \u2014 brute-force seeds and pick"
      },
      "controlnet": {
        "type": "string",
        "default": "",
        "description": "ControlNet model filename. Needs a control image passed as the job's input asset. Recolor holds the silhouette fixed while changing colour \u2014 N colourways of one garment sharing a byte-identical cut-out alpha."
      },
      "controlnet_strength": {
        "type": "number",
        "default": 1.0,
        "minimum": 0,
        "maximum": 2,
        "description": "ControlNet conditioning strength"
      },
      "controlnet_start": {
        "type": "number",
        "default": 0.0,
        "minimum": 0,
        "maximum": 1,
        "description": "Fraction of sampling at which conditioning starts"
      },
      "controlnet_end": {
        "type": "number",
        "default": 1.0,
        "minimum": 0,
        "maximum": 1,
        "description": "Fraction of sampling at which conditioning ends"
      }
    }
  }
}