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Mateo1099
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ai-image-generation

Generate AI images via the inference.sh CLI across text-to-image, image-to-image, inpainting, upscaling, and editing tasks.

Updated Mar 29, 2026
Search Tags:#ai#image-generation#text-to-image#image-editing#concept-art#inference-sh#product-mockups
One-click install
npx skills add https://github.com/Mateo1099/CampusFlow --skill ai-image-generation-mateo1099
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-image-generation
Source: https://github.com/Mateo1099/CampusFlow/tree/main/.trae/skills/ai-image-generation
Command: npx skills add https://github.com/Mateo1099/CampusFlow --skill ai-image-generation-mateo1099

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI image generation enables rapid creation of visuals using a range of models via the inference.sh CLI, reducing time from concept to render and enabling consistent brand visuals.

Core Features & Use Cases

  • Text-to-Image: Convert prompts into high-quality images with multiple model options.
  • Image-to-Image & Inpainting: Adapt existing visuals or fill in missing areas with model-guided edits.
  • LoRA & Upscaling: Apply LoRA styles for custom aesthetics and upscale images for production-ready outputs.
  • Use Case: Create product mockups, concept art, social media visuals, and marketing assets at scale.

Quick Start

Generate a photorealistic product image using the FLUX Dev LoRA model with a descriptive prompt.

Frequently Asked Questions about ai-image-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI images from text prompts using multiple models?▼

AI image generation from text prompts uses the inference.sh CLI to process descriptive text and render high-quality visuals. You select a supported model like FLUX Dev LoRA or Gemini, then the CLI returns a generated image based on your prompt.

Can I apply LoRA styles and upscale existing images for production?▼

You can apply LoRA styles to existing images to enforce custom aesthetics and use the upscaling feature to enhance resolution. This process outputs production-ready images suitable for high-quality marketing assets and product mockups.

Do I need the inference.sh CLI to create product mockups and concept art?▼

Yes, creating product mockups and concept art requires the inference.sh CLI and access to supported models like Seedream or Grok. This setup provides the processing interface needed to generate visuals at scale from your prompts.

What is the best way to edit existing visuals and fill missing areas with AI?▼

The best way to edit existing visuals or fill missing areas is using image-to-image and inpainting capabilities via the inference.sh CLI. These features guide model-driven edits to adapt current images or seamlessly reconstruct specific regions.

Does AI image generation support social media graphics and marketing illustrations?▼

AI image generation supports creating social media graphics and marketing illustrations by rendering visuals from text prompts. Using models like FLUX Dev LoRA, you can generate consistent brand visuals and marketing assets across various platforms.

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