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Image Model

Krea 2: The Open-Source Foundation Image Model for Creative Control

Krea's first foundation model built from scratch — designed for aesthetic diversity, style transfer, and giving creators real control over AI image generation.

Jun 25, 2026 8 min read By ZVHH Research
Open-Source
Weights & Code
15s
Standard Generation
2s
Turbo Mode
2026
Trained From Scratch

What Is Krea 2?

Krea 2 is Krea's first foundation image model, trained completely from scratch and released on May 12, 2026. Unlike many image models that build on top of existing architectures, Krea 2 was designed from the ground up with two primary goals: aesthetic diversity and creative control.

The Krea team identified a fundamental gap in AI image generation: most models are great at understanding what you want in an image, but they struggle with the "how it looks" part. They tend to default to a polished, safe, "AI look" that flattens artistic expression. Krea 2 was built to solve this problem.

The model is now open-source with weights released on Hugging Face, code on GitHub, and a permissive license for commercial and personal use. It's available through the Krea platform, API partners (Fal, Comfy, Runware), and directly via Nous Research's Hermes.

The Core Innovation: Style Transfer

What sets Krea 2 apart from every other image generation model is its advanced style transfer system. Rather than treating style as a vague word in a text prompt, Krea 2 lets you:

This means style is no longer a guessing game. You can pass a film photograph reference and get grainy, authentic results, or a clean studio shot reference and get polished output — the model responds to visual direction the way a human artist would respond to a mood board.

Model Variants: Medium vs Large

Krea 2 ships in two API variants, each targeting different use cases:

FeatureKrea 2 MediumKrea 2 Large
Model SizeSmaller, faster2×+ larger
Generation Time~15 seconds~15 seconds
Post-TrainingExtensive — stable, consistent outputsSofter — rawer, more textured
Best ForIllustration, anime, painting, artistic stylesPhotorealism, complex compositions
CostLowerHigher
Turbo ModeYes (~2s)Yes (~2s)

Krea 2 Medium has extensive post-training applied, making its outputs especially stable and consistent — ideal for commercial work where predictability matters. Krea 2 Large is more than twice the size with softer post-training, giving outputs a rawer, more textured, and flexible character that creative professionals prefer for experimentation.

Technical Architecture

The Krea 2 Technical Report (published June 23, 2026 by Sangwu Lee, Erwann Millon, Le Zhuo, and the full Krea research team) outlines their approach:

The model weights are released on Hugging Face and the inference code on GitHub under a permissive license.

API & Developer Access

Krea 2 is available through multiple channels:

# Krea 2 API example # Access via Fal, Comfy, Runware, or Nous Research # Krea 2 Medium (recommended for most use cases) POST /v1/images/generations { "model": "krea-2-medium", "prompt": "A cinematic photograph of Tokyo at night", "style_refs": ["reference-image-url"], "style_strength": 0.7, "creativity": 0.8 }

Why Krea 2 Matters

Krea 2 represents a shift in how image generation models approach creative exploration. Instead of producing polished but homogenized results, it's designed to be an exploratory medium — capable of spanning many aesthetics while giving creators the tools to navigate them deliberately.

The model is already being adopted by creative studios, marketing agencies, fashion brands, gaming companies, and architecture firms. Krea's research lab actively incorporates user feedback to evolve the model.

Key Takeaways

• Krea 2 is Krea's first foundation model, built from scratch and released May 12, 2026

• Open-source with weights on Hugging Face and code on GitHub

• Industry-leading style transfer system — pass reference images, blend styles, control intensity

• Two variants: Medium (stable, extensive post-training) and Large (raw, textured, more flexible)

• Available via Krea platform, API partners, Nous Research, and self-hosted

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