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.
"a sunset over mountain peaks, golden hour photography"
DALL-E 3
~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 | ~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
- ✓Marketing visuals
- ✓Product mockups
- ✓Creative exploration
- ✓Synthetic training data
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
API Services
DALL-E 3
OpenAIBest prompt following. Integrated with ChatGPT.
Midjourney
MidjourneyExcellent aesthetics. Discord-based interface.
Ideogram
IdeogramBest text rendering in images.
Open Source
Stable Diffusion 3
Stability AI CommunityStrong open-source option. Many community fine-tunes.
FLUX.1
FLUX.1-dev Non-CommercialFrom ex-Stability team. Excellent prompt adherence.
Benchmarks
Quick Facts
- Input
- Text
- Output
- Image
- Implementations
- 2 open source, 3 API
- Patterns
- 2 approaches