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".
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/fal-ai-community/skills --skill fal-train- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads fal-train automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.
FAQ
What does the fal-train skill do?
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".
How do I install fal-train?
Run npx skills add https://github.com/fal-ai-community/skills --skill fal-train in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/fal-train/ (personal) or .claude/skills/fal-train/ (project).
Which AI agents can use fal-train?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is fal-train safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains fal-train?
It is published by fal-ai-community in fal-ai-community/skills. It has 83 recorded installs.
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