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The handbook · 242 pages · Free

The AI Digital
Assets Handbook

Create production-ready digital assets with AI: the tools, the setup, the prompts, and the workflows that actually ship.

One email, one download. Nothing stored — the download starts right away.

Cover of The AI Digital Assets Handbook
What's inside

Eighteen chapters, five parts.

Part I

Foundations

  • 1
    The New Studio

    The 2026 landscape, what AI digital assets are, and an honest map of what works and what still fails.

  • 2
    How the Machines Make Pictures

    Diffusion and latent space in plain language, and the model families worth knowing.

Part II

The Toolkit

  • 3
    The Hosted Generators

    A working tour of the cloud tools and when to reach for each.

  • 4
    Your Local Studio

    Which interface fits you, and the hardware honesty nobody puts in the tutorial.

  • 5
    Getting Models

    Where the models live, the file types you juggle, and how to spot a good one.

Part III

The Craft

  • 6
    Prompting

    The six-slot brief, the tokens that actually steer a model, and the parameters worth touching.

  • 7
    Control

    Going beyond the prompt with ControlNet, IP-Adapter, and reference images.

  • 8
    Consistency

    The same character, style, and brand look across image after image.

  • 9
    Refinement and Cleanup

    img2img, inpainting, upscaling, and finishing in a real editor.

Part IV

Producing Real Assets

  • 10
    Logos, Icons, and Vectors

    Clean, editable vector marks and coherent icon sets.

  • 11
    Textures, Patterns, and Materials

    Seamless tiling and full PBR material sets.

  • 12
    Product Mockups and Packaging

    Staging a shot you did not photograph, and the line to a print-ready file.

  • 13
    Characters and Mascots

    Design a character once and get it back, on model, pose after pose.

  • 14
    Backgrounds, Scenes, and Environments

    Wide, deep, believable spaces without the duplicate-subject trap.

  • 15
    UI, Illustration, and Web Assets

    On-brand spot illustration and icon sets across a whole product.

  • 16
    Stock-Style Photography

    Believable photographs that were never taken.

Part V

Studio to Business

  • 17
    Workflows and Pipelines

    Turning a pile of renders into a repeatable pipeline.

  • 18
    Rights, Licensing, and Ethics

    Who owns an AI image, and how to stay on the right side of a fast-moving line.

Questions

Straight answers.

Is AI-generated art copyrightable?

In the United States, purely AI-generated images generally are not, because copyright needs human authorship; your selection, arrangement, and hand-editing can be. It varies by country. The book has a full, honest chapter on it (not legal advice).

Which AI image tool should I start with?

It depends on the job. The book maps hosted tools (Midjourney, GPT Image, Firefly, Ideogram, Recraft and more) and the local stack (ComfyUI, Forge, FLUX, SDXL) to what each is genuinely best at.

Do I need an expensive GPU?

No. You can go a long way on hosted tools with no GPU, and the book covers realistic local VRAM tiers plus cloud options if you want to run models yourself.

Can I sell what I make with AI?

Often yes, but it depends on the tool's licence and where you sell. The book breaks down the commercial-safe models and the stock/marketplace policies as of 2026.

Is this for beginners or pros?

Both. It starts from the mental model and goes through to production pipelines, so a curious beginner and a working designer both find their level.

The rights and licensing chapter goes deeper — see the process breakdowns and the toolkit.