Krea-2-Turbo is a text-to-image diffusion model hosted on Hugging Face. It generates images from text prompts and is provided under the krea-2-community-license.
The model is distributed in Safetensors format and is compatible with the Diffusers library. Users load it through a standard DiffusionPipeline after installing diffusers, transformers, and accelerate via pip. The recommended inference configuration uses bfloat16 precision on CUDA devices, with an option to switch to MPS for Apple hardware. Example code demonstrates loading the pipeline from the repository krea/Krea-2-Turbo and generating output for a detailed prompt describing a monochromatic blue halftone scene of a cat in an abandoned street.
It is made available by KREA. The repository includes a model card with instructions for local execution, notebooks, and inference providers. Deployment options encompass running the model directly in local applications or through compatible services on the Hugging Face platform. The English-language model card positions it within the class of text-to-image diffusion models.
In the Image generation space, Krea 2 Turbo takes a focused approach. It focuses on generating high-quality images from text prompts quickly using a specialized diffusion model. Krea 2 Turbo is an open-source project aimed at AI artists and developers. The project is open source (Apache-2.0). Krea 2 Turbo is available on the web, the command line, and API.
KREA builds and maintains Krea 2 Turbo, and the product first shipped in 2026. The project is developed in the open on GitHub with 639 stars and 20 commits in the last 90 days. PulseGate's similarity index places it among 8 comparable tools. Among its 3 catalogued features are text-to-image, diffusion pipeline, and high speed generation.
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