Images / krea

Krea 2 Turbo

Krea 2 Turbo is a gated text-to-image diffusion model from the repository krea/Krea-2-Turbo, released under the krea-2-community-license. It is built on base model krea/Krea-2-Raw and uses the diffusers library. The model card is in English and includes sample prompts and output images demonstrating styles such as halftone texture and low-poly 3D models. Access requires agreeing to the license and providing name, email, and company information.

EstimatedRepository opened Jun 18, 2026Source checked 9/25/2026Version: 98e0fe11

LOCALRENTED GPUOPEN WEIGHTS

Freshness 63 out of 100. Repository age: 119 days old, Jun 18, 2026. Measures age, not quality.

Popularity 69 out of 100. 89,181 downloads in 30 days; 1,644 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.

Arena Open Source Image generation: rank 9 of 19. Ranked model: krea-2-turbo. Export dated Oct 7, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.

Category rankings & sources

Each position belongs to a separate Arena category. These are human preference rankings—not hardware recommendations. We do not combine the categories into one score.

Image generation#9of 19 open models

krea-2-turbokreaLicense: krea-2-community-license

Export dated Oct 7, 2026Checked: Oct 15, 2026Overall board: #52

View official Image generation board

Rankings reflect the dated export; live Arena boards can change. Open-source positions use Arena’s open-model filter. The overall position also includes the other models on that category board. Availability of weights and license terms still need to be checked separately.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source

Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source

Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

At a glance

Parameters: 12.82B
Architecture: unknown
License: krea-2-community-license
Software: Diffusers

View the model source

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Best for

Generating images from text prompts using the diffusers library
Creating images with halftone texture styles
Creating images with low-poly 3D model aesthetics
Producing retro or printed-look imagery
Producing soft, atmospheric, or ethereal scenes

Tradeoffs

Access is gated and requires manual approval and agreement to the license
License is the krea-2-community-license, not an open-source license
No information is provided about hardware requirements, performance, or compatibility
No details are given about supported resolutions, generation speed, or memory usage
The model is intended for text-to-image generation only

Ways to run it

Diffusers · See official guide

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

import torch
from diffusers import Krea2Pipeline

pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
image = pipe("a fox in the snow", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("krea2.png")

Official instructions

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