braces-by-aimami-s/metadata.json

{
  "name": "Braces By AiMami's",
  "slug": "braces-by-aimami-s",
  "base_model": "FLUX.2 [klein] 9B",
  "media_type": "image",
  "model_id": 2644214,
  "version_id": 2969060,
  "version_name": "FK9-braces-v1.0",
  "source": "civitai",
  "url": "https://civitai.com/models/2644214",
  "repo_id": null,
  "file_path": null,
  "author": "AiMamis",
  "category": {
    "key": "clothing",
    "label": "Clothing / wardrobe"
  },
  "modalities": [],
  "primary_modality": "unspecified",
  "checkpoint_family": "unknown",
  "trigger_words": [
    "braces",
    "braces on teeth"
  ],
  "recommended_settings": {
    "LoRA strength": "0.7–1.1"
  },
  "chaining": {
    "author": {
      "stacks": "not stated",
      "notes": "",
      "avoid": [],
      "requires": [],
      "order": "",
      "strength": "",
      "stated": false
    },
    "general_rules": [
      "Chain LoRAs by stringing LoraLoaderModelOnly nodes in series, model output into model input. There is no CLIP side to route — klein LoRAs are model-only because the Qwen3 text encoder is not trained (CivitAI's recipe fixes trainTextEncoder: false).",
      "Only stack LoRAs of the same parameter size. 9B stacks with 9B; a 4B LoRA in a 9B stack is an architectural mismatch (3072 vs 4096 hidden, 5+20 vs 8+24 blocks), not a quality question.",
      "Mixing a \"Flux.2 Klein 9B\" LoRA and a \"Flux.2 Klein 9B-base\" LoRA in one stack is fine — those strings describe the training checkpoint, not incompatible tensor layouts. Set the sampler for the checkpoint actually loaded.",
      "Run base-trained LoRAs on the distilled checkpoint when you want speed: HF's klein LoRA guide reports the adapter loads there and typically gives better results than on base, at 4 steps.",
      "A base-to-turbo / distillation-extraction LoRA is a whole-model delta, not a content LoRA. Put it on the base checkpoint only, and treat its strength as a steps/CFG dial rather than a style knob. Do not add it on top of the already-distilled checkpoint.",
      "Read each LoRA's own published strength range instead of defaulting everything to 1.0 — klein LoRAs in the wild ship very different ones (0.5 start for the consistency LoRA, 0.8 for SOLRICKS' detail LoRA, under 0.5 and sometimes 0.1 for the vafipas663 distillation delta).",
      "With a consistency or edit LoRA in the stack, excessive strength suppresses the prompt: the consistency LoRA's article says that if edits stop applying, lower it before changing anything else.",
      "Prefer runtime LoRA patching over baking a LoRA into the checkpoint: ComfyUI's Model Merge / Model Save nodes have not detected Flux2 Klein models (4B or 9B) since a March 2026 update — issue #13637, still open.",
      "The author never states which weight family this targets. Two different questions, two different answers. Within 9B (distilled vs base — the two CivitAI strings): not a real incompatibility. Both load through the same Flux2KleinPipeline and have the same repo layout; for the 4B pair, where both transformer configs are public, the distil"
    ]
  },
  "pros": [
    "Well established — 3,822 downloads. [source: CivitAI stats]",
    "Positively received — 164 thumbs-up with no down-votes. [source: CivitAI stats]",
    "Explicit trigger word(s) — braces, braces on teeth — so the effect can be turned on and off from the prompt. [source: model metadata]",
    "Compact at 158 MB — cheap to stack with other LoRAs. [source: file size]",
    "Author published concrete recommended settings. [source: description]"
  ],
  "cons": [
    "Author never states which generation mode it was trained for; test against your own workflow before relying on it. [source: description]"
  ],
  "file": {
    "name": "FK9-Braces_epoch_11.safetensors",
    "size_bytes": 165705608,
    "size_mb": 158.03,
    "sha256": "8715c53558c7a1539f1e7c9efe2e0a40b861ac9dbccf7c32fcb3812cf15fb5ae"
  },
  "stats": {
    "downloads": 3822,
    "thumbs_up": 164,
    "thumbs_down": 0
  },
  "popularity": {
    "downloads": 3822,
    "thumbs_up": 164,
    "thumbs_down": 0,
    "comments": 0,
    "approval": "100% positive (164/164)",
    "age_days": 104.9,
    "downloads_per_day": 12.37,
    "rank_by_downloads": 118,
    "rank_by_momentum": 31,
    "of_total": 150,
    "adoption_tier": "Niche",
    "momentum": "Trending"
  },
  "selection_score": 6190.0,
  "selection_reasons": [
    "3,822 downloads",
    "164 thumbs-up",
    "documented triggers + usage notes",
    "top-ranked for its category"
  ],
  "example_media": [
    {
      "file": "01_image.jpeg",
      "type": "image",
      "resolution": "1232x1632",
      "prompt": ""
    },
    {
      "file": "02_image.jpeg",
      "type": "image",
      "resolution": "1232x1632",
      "prompt": ""
    },
    {
      "file": "03_image.webp",
      "type": "image",
      "resolution": "1232x1632",
      "prompt": "",
      "source": "civarchive",
      "civarchive_id": 131542627
    }
  ],
  "tags": [
    "braces",
    "clothing",
    "clothes",
    "cute"
  ],
  "scraped_at": "2026-09-05T02:06:02+00:00",
  "path": "flux2-klein-9b/braces-by-aimami-s",
  "mirror": {
    "repo_id": "Alex995647/loras-flux2-klein-9b",
    "path_in_repo": "braces-by-aimami-s",
    "url": "https://huggingface.co/Alex995647/loras-flux2-klein-9b/tree/main/braces-by-aimami-s",
    "local_weights_removed": true,
    "bytes_freed": 165705608
  }
}