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Image generation

Produce and review two-dimensional image assets.

Published Updated
Beginner

Fundamentals of image generation: Translating Diffusion, Flow Matching, and Transformer to production decisions

The generation from noise back to an image is understood as the relationship between latent representation, conditioning, Flow Matching, and DiT, and is used to determine speed and control.

14 min↗
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Introduction → production planning

A map of creative deliverables and work

Distinguish a single image from an interactive service.

24 min↗
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Beginner

Image model research notes: don't confuse offering models, open weights, and licenses

Research notes based on official sources checked on 2026-10-04. Compare API availability, open weights, and license conditions for OpenAI GPT Image, Google Imagen, and Stable Diffusion.

9 min↗
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Introduction → production planning

Use AI to propose candidates under constraints

Separate the model, inputs, generation, editing and verification.

10 min↗
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Intermediate

Image production flow: Reference, character consistency, Control, LoRA, Inpainting

Instead of relying on one-shot generation, we separate the responsibilities of reference, control, local correction, and LoRA when necessary, and transform it into a reproducible image production process.

15 min↗
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Introduction → production planning

Turn visual direction into words and specifications

Give instructions through composition, color, light, shape and purpose.

8 min↗
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Intermediate

Practical image workshop: Creating a single advertising visual using a verifiable process

An exercise in creating still images containing products and people by dividing them into specifications, references, composition, creation, local corrections, typesetting, and release checks.

14 min↗
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Introduction → character consistency

Give a character a consistent identity

From anime-style 3D images to expression variants.

9 min↗
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Intermediate

Image generation frontier notes: Reading FLUX.3, GPT-Image 2.5, Nano Banana 2 in process

From the official information confirmed on 2026-10-04, we summarize that the focus of image generation has shifted from one-shot image quality comparison to layout, editing, history, and high-speed iterative process design.

13 min↗
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Introduction → portrait design and review

Design a photorealistic portrait

Separate the person, lighting, lens-like appearance and background.

9 min↗
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Introduction → sprite production

Design pixel art as a small, precise asset

Turn a pixel-style image into a usable sprite.

9 min↗
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Introduction → reproducible production comparisons

Measure quality and cost to guide the next step

Keep tokens, images, seconds and credits distinct

23 min↗
Published Updated
Beginner

Connect local AI to images and 3D

Apply a shared view of computing resources while understanding different production pipelines.

9 min↗
Published Updated
Intermediate

Reference-first video production: Freeze the world before the prompt

We practice planning, reference design, character sheets, shot lists, cut generation, editing and audio as a production process that manages consistency.

17 min↗