Leonardo Phoenix 1.0 — Leonardo AI's Foundational Image Model ❓📝🔢✓ → 🖼️

⭐ Official ▶️ 39.7K runs 📅 May 2025 ⚙️ Cog 0.16.8
photorealistic text-to-image image-generation

Performance

14.2sTypical run time
39.7KTotal runs

Data sampled 2026-07-12

Leonardo Phoenix 1.0 is Leonardo AI's foundational image generation model, available on Replicate. It generates images up to ~5MP with selectable fast, quality, and ultra modes.

About

Leonardo Phoenix 1.0 is Leonardo AI's first foundational image generation model. It produces high-quality visuals up to roughly 5 megapixels across photorealistic and stylized looks, with strong prompt adherence — a good fit for concept art, marketing visuals, product imagery, and game assets.

What makes it distinct on Replicate is the built-in generation_mode control: you pick fast, quality, or ultra to trade render time against fidelity, instead of hand-tuning step counts.

How it compares to other image models on Replicate

Model Key strength Open weights / LoRA Best for
leonardoai/phoenix-1.0 High-res (up to ~5MP), fast/quality/ultra modes, Leonardo styles No Polished marketing and concept art
black-forest-labs/flux-schnell Very fast generation No Rapid iteration and drafts
stability-ai/sdxl Huge LoRA / fine-tune ecosystem Yes Custom styles and characters
ideogram-ai/ideogram-v3 Reliable text inside images No Posters and typography

Key inputs that matter

  • prompt (required) — the scene description.
  • generation_mode — fast, quality, or ultra; the main speed-vs-fidelity dial.
  • style — apply one of Leonardo's preset visual styles.
  • aspect_ratio / num_images — output shape and batch size.
  • contrast — tune tonal punch.
  • prompt_enhance — let the model expand a short prompt into a richer one.

When to use this model

  • You want high-resolution output (up to ~5MP) without upscaling.
  • You like Leonardo's preset styles and want quick, consistent results.
  • You want a simple quality dial rather than tuning sampler steps.

When to reach for something else

  • You need LoRA / custom fine-tunes — use SDXL's open ecosystem.
  • You need the absolute fastest drafts — flux-schnell is built for speed.
  • You need dependable text inside images — ideogram handles typography better.

Limitations and gotchas

  • Closed model — no open weights, no self-hosted fine-tuning.
  • Styles are limited to Leonardo's presets rather than arbitrary LoRAs.
  • Ultra mode noticeably increases render time versus fast mode.

Example Output

Prompt:

"A majestic mountain landscape at sunset with snow-capped peaks reflecting golden light"

Output

Example output

Performance Metrics

14.17s Prediction Time
14.18s Total Time
All Input Parameters
{
  "style": "cinematic",
  "prompt": "A majestic mountain landscape at sunset with snow-capped peaks reflecting golden light",
  "contrast": "medium",
  "num_images": 1,
  "aspect_ratio": "16:9",
  "prompt_enhance": true,
  "generation_mode": "quality"
}
Input Parameters
style Default: none
Style to use for the output image
prompt (required) Type: string
Text prompt for generation
contrast Default: medium
Contrast level
num_images Type: integerDefault: 1Range: 1 - 8
Number of images to generate
aspect_ratio Default: 3:2
Aspect ratio of the output image
prompt_enhance Type: booleanDefault: true
Whether to enhance the prompt
generation_mode Default: quality
Generation mode
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Generating images...
Generated 1 image(s) in 13.8sec
Downloading 1478425 bytes
Downloaded 1.41MB in 0.11sec
Units: 25
Version Details
Version ID
d30daced489ada20202c64cf7432d6c8b58336ab2ca222b163b9d66fe58cba21
Version Created
November 7, 2025
Run on Replicate →