§ Building Blocks

Text→Image

Image Generation.

Generate images from text descriptions. Powers creative tools, marketing, and synthetic data.

Try It: Text to Image Generation

See outputs from state-of-the-art text-to-image models.

Select a prompt to see model output:

PROMPT

"a sunset over mountain peaks, golden hour photography"

MODEL

DALL-E 3

GENERATION TIME

~5s

These are representative outputs showing the quality each model can achieve.

API Services

Model	Vendor	Speed	Quality	Price
DALL-E 3	OpenAI	~5s	High	$0.04/img
Midjourney v6	Midjourney	~60s	Very High	$10/mo
Imagen 3	Google	~8s	High	API access

Open Source

Model	Vendor	Speed	Quality	License
FLUX.1	Black Forest Labs	~12s	Very High	Apache 2.0
SD 3.5	Stability AI	~8s	High	Community
SD-Turbo	Stability AI	<1s	Medium	SDXL

§ Use cases

What it's for.

→Marketing visuals
→Product mockups
→Creative exploration
→Synthetic training data

§ Patterns

Architectural patterns.

Diffusion Models

Iteratively denoise from random noise guided by text.

Pros

+High quality
+Good prompt following
+Many fine-tunes

Cons

−Slow generation
−VRAM intensive

Autoregressive Models

Generate images as sequences of tokens.

Pros

+Unified architecture
+Good coherence

Cons

−Very slow
−Quality still catching up

§ Implementations

What you can use today.

API services

DALL-E 3

OpenAI

API

Best prompt following. Integrated with ChatGPT.

Midjourney

API

Excellent aesthetics. Discord-based interface.

Ideogram

API

Best text rendering in images.

Open source

Stable Diffusion 3

Stability AI Community

OSS

Strong open-source option. Many community fine-tunes.

GitHub Hugging Face

FLUX.1

FLUX.1-dev Non-Commercial

OSS

From ex-Stability team. Excellent prompt adherence.

GitHub Hugging Face

§ Benchmarks

How it's measured.

FID (ImageNet) →CLIP Score →

§ At a glance

Input: Text
Output: Image
Implementations: 2 open source · 3 API
Patterns: 2 approaches

§ Related blocks

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