Agent skill

fal-train

Train custom AI models (LoRA) on fal.ai — personalize image generation for specific people, styles, objects, or video generation. Use when the user requests "Train model", "Train LoRA", "Fine-tune", "Custom model", "Train on my images", "Portrait training".

Stars 45
Forks 6

Install this agent skill to your Project

npx add-skill https://github.com/fal-ai-community/skills/tree/main/skills/claude.ai/fal-train

Metadata

Additional technical details for this skill

author
fal-ai
version
1.0.0

SKILL.md

fal-train

Train custom LoRA models on fal.ai for personalized AI generation.

Scripts

Script Purpose
train.sh Submit a LoRA training job

Usage

Train Image LoRA (Style/Subject/Person)

bash
./scripts/train.sh --images-url "https://example.com/training-images.zip" --trigger-word "sks style" --model fal-ai/flux-lora-fast-training

Train Portrait LoRA

bash
./scripts/train.sh --images-url "https://example.com/face-photos.zip" --trigger-word "ohwx person" --model fal-ai/flux-lora-portrait-trainer

Check Training Status

bash
./scripts/train.sh --status --endpoint fal-ai/flux-lora-fast-training --request-id "abc123"

Arguments

Argument Description Required
--images-url URL to zip of training images Yes
--trigger-word Word to activate the LoRA in prompts Yes
--model / -m Training model endpoint No (default: fal-ai/flux-lora-fast-training)
--steps Training steps No (default: 1000)
--status Check training job status No
--endpoint Endpoint for status check With --status
--request-id Request ID for status check With --status
--param Extra param as key=value (repeatable) No

Finding Models

To discover the best and latest training/LoRA models, use the search API:

bash
# Search for LoRA training models
bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "lora training"
bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "trainer"
bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "fine-tune"

Or use the search_models MCP tool with keywords like "lora", "training", "trainer", "fine-tune".

Training Data Tips

  • People: 10-20 photos, varied angles/lighting/expressions, consistent person
  • Styles: 10-15 images exemplifying the style, diverse subjects
  • Objects: 5-15 photos from different angles on various backgrounds
  • Images should be high quality, at least 512x512
  • Zip all images into a single .zip file and host at a URL

Output Format

json
{
  "diffusers_lora_file": {
    "url": "https://fal.media/files/.../lora.safetensors",
    "content_type": "application/octet-stream",
    "file_name": "lora.safetensors",
    "file_size": 12345678
  },
  "config_file": {
    "url": "https://fal.media/files/.../config.json"
  }
}

Use the diffusers_lora_file.url as the lora_url parameter when generating images with FLUX models.

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