fal-train
nexu-io/open-design
Train custom LoRA models on fal.ai for personalized image generation tailored to brands, characters, or styles.
What is fal-train?
This skill enables training custom AI models (LoRA) on fal.ai to generate personalized images aligned with specific brands, characters, or artistic styles. Use it when you need to create a reusable model that consistently produces images matching a particular visual identity or aesthetic.
- Train LoRA (Low-Rank Adaptation) models on fal.ai infrastructure
- Generate personalized images based on trained custom models
- Tailor image generation to specific brands, characters, or styles
- Create reusable models for consistent visual output
How to install fal-train
npx skills add https://github.com/nexu-io/open-design --skill fal-train- fal.ai account and API access
- Training dataset (images of the subject, style, or brand to learn from)
How to use fal-train
- 1.Install the upstream skill bundle from https://github.com/fal-ai-community/skills
- 2.Prepare a dataset of images representing the brand, character, or style you want to train on
- 3.Invoke the skill by name ('fal-train') or use trigger phrases like 'train lora' or 'custom model'
- 4.Provide your training images and configuration parameters to the agent
- 5.Wait for the training process to complete on fal.ai
- 6.Use the resulting model ID to generate personalized images
Use cases
- Train a brand-specific model to generate marketing images with consistent visual identity
- Create a character model to generate variations of a specific character in different poses and settings
- Develop a style model to apply a particular artistic aesthetic to any subject
- Build a product model to generate lifestyle images featuring a specific product
- Brand and marketing teams
- Character designers and illustrators
- Content creators
- Product teams
fal-train FAQ
LoRA (Low-Rank Adaptation) is an efficient fine-tuning technique that trains only a small set of additional parameters rather than the entire model, making it faster and cheaper while achieving strong customization results.
Typically 10-50 high-quality images of your subject work well, though more diverse examples generally improve results. Quality matters more than quantity.
Training time varies based on dataset size and fal.ai's current load, but typically ranges from minutes to under an hour for most LoRA models.
Yes, once trained, your LoRA model can be used for commercial image generation, subject to fal.ai's terms of service.
Standard image formats like JPG, PNG, and WebP are typically supported; check the upstream repository for exact specifications.
Full instructions (SKILL.md)
Source of truth, from nexu-io/open-design.
name: fal-train description: | Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style. triggers:
- "fal train"
- "train lora"
- "custom model"
- "personalized image gen"
- "brand lora" od: mode: image category: image-generation upstream: "https://github.com/fal-ai-community/skills"
fal-train
Curated from the fal.ai community team.
What it does
Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.
Source
- Upstream: https://github.com/fal-ai-community/skills
- Category:
image-generation
How to use
This catalogue entry advertises the skill in OpenDesign so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the upstream bundle into your active agent's skills directory:
# Inspect the upstream README for exact paths
open https://github.com/fal-ai-community/skills
Then ask the agent to invoke this skill by name (fal-train) or with
one of the trigger phrases listed in this skill's frontmatter.
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