fal-train

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

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Install skill "fal-train" with this command: npx skills add fal-ai-community/skills/fal-ai-community-skills-fal-train

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)

./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

./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

./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:

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

{ "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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