--- title: "Krea Lets Creators Fine-Tune Krea 2 on Their Own Visual Style" subtitle: "Krea's first in-house foundation model now supports LoRA fine-tuning, letting you bake a style, character, or object into a reusable model with just a handful of images." url: "https://alphasignal.ai/news/krea-lets-creators-fine-tune-krea-2-on-their-own-visual-style" author: "AlphaSignal Newsroom" author_url: "https://alphasignal.ai/editorial-team" company: "Krea" company_url: "https://alphasignal.ai/company/krea_ai" published: "2026-05-21T14:29:37.000Z" updated: "2026-06-16T21:12:49.144Z" type: "News" topics: - "Image" - "Post Training" subtopics: - "Image Generation" - "Lora" - "Fine Tuning" upvotes: 447 read_time: "6 min" source_url: "https://www.krea.ai/login?redirect=%2Ftrain" comments: 0 --- # Krea Lets Creators Fine-Tune Krea 2 on Their Own Visual Style > Krea's first in-house foundation model now supports LoRA fine-tuning, letting you bake a style, character, or object into a reusable model with just a handful of images. Krea has been a creative AI platform built on top of other people's models. Flux, Qwen, Wan , all third-party backbones that Krea wrapped in a polished interface. That changed when [Krea 2](https://www.krea.ai/krea-2) launched as the company's first foundation image model built entirely from scratch. Now, Krea is taking the next logical step: letting you fine-tune that model on your own visual language. Krea is rolling out Krea 2 LoRA training in beta , its most powerful fine-tuning system to date. You can train Krea 2 on your own specific style, object, or character with precision, then use it directly in the Image tool. Krea 2 LoRAs are available for Max and Business subscribers while the beta is underway. ## Why this is different from what came before LoRA , short for Low-Rank Adaptation , is a technique for fine-tuning a large model by training only a small set of additional parameters, rather than rewriting the whole model. The result is a lightweight "style layer" you can attach to a base model at generation time, steering its output toward a specific look, character, or object without the cost of full retraining. LoRAs aren't new to Krea , the platform has supported them on Flux, Qwen, and Wan for a while. What's new is the quality. Krea 2 LoRAs hold style, character, and material identity at a level Krea hasn't seen from any of the earlier backbones. Krea 2 is Krea's first foundation model, built completely from scratch for aesthetic diversity and stylistic control. When creating an image with AI, there are two main pieces to define: what you want in the image, and how you want it to look. Most image models are great at the first part , they handle complex prompts with no problem. But when it comes to style, they tend to give you something polished, safe, and nice. Krea 2 was built specifically to break that pattern, and LoRA training is what makes that aesthetic control persistent and reusable. ## Three steps from images to a reusable model The workflow is three steps from a folder of images to a reusable Krea 2 LoRA. Head to `/train`, click Train new LoRA, and hit Next step. Drop in a set of images , at least three , that share the style, character, or object you want to capture. On the right sidebar, choose Krea 2 Medium or Krea 2 Large , Large trains stronger, Medium trains faster. Adjust Steps if you want the LoRA to learn more aggressively; the default is tuned to work for most datasets. One detail worth noting: Krea 2 uses a newer training flow that requires captions per image. Krea can auto-caption your dataset, and you can edit captions before training. This matters because captions tell the trainer what to learn and what to ignore , so a one-off background or prop doesn't accidentally get baked into the LoRA. Once training finishes, you use the LoRA directly inside the Image tool. You can capture a style, character, or object once and reuse it across every generation, with strength control and multi-LoRA stacking. That last part , stacking , means you can layer a character LoRA on top of a style LoRA and run them together in a single generation. ## What you can actually train The system supports three distinct training modes: - **Styles:** a visual treatment, illustration language, material quality, lighting approach, or brand look - **Characters:** keep a person or fictional character consistent across poses, scenes, and prompts - **Objects:** preserve a product, prop, furniture piece, or design object across new contexts Krea 2 features extremely fast generation speed , usually within 15 seconds , and supports style references and Moodboard features, quickly responding to vague prompts and producing diverse high-quality images, making it especially suitable for commercial workflows, game concepts, and rapid creative iterations. ## The real unlock: a persistent visual identity The practical difference between a style reference and a LoRA is repeatability. Style references guide a single generation. A LoRA encodes a visual direction so it travels with you across every future generation , no rebuilding the prompt, no re-uploading references. Krea Train lets creators teach a model a repeatable visual language: a brand style, a character, a product, a material study, or a personal subject. For a designer, that might mean a product line or campaign aesthetic. For a filmmaker, a recurring character. For an architecture team, a material palette or rendering language specific to the studio's presentation style. Contra Labs found Krea 2 Large within 0.14 points of GPT Image 2 on Style Fidelity in a four-model style-transfer benchmark. That's a meaningful data point: Krea 2 is competing at the top of the style-transfer leaderboard, and LoRA training is layered on top of that already-strong baseline. ## Privacy, sharing, and the public LoRA ecosystem Trained LoRAs are private by default. You can choose to share them publicly, allowing other users to discover and reuse your LoRA , while your original training images remain private. During the beta, selected creators and teams can train LoRAs for Krea 2 Medium and Krea 2 Large, use them in Image, and choose whether a trained style stays private or becomes a public LoRA other people can discover and reuse. This points toward something larger: a community-driven library of reusable Krea 2 styles, similar to what Civitai built around Stable Diffusion , but native to the platform and gated by quality controls. ## Access and pricing Krea's pricing tiers are: Free ($0, 100 units/day), Basic ($9/month, 5,000 units/month, commercial license, limited video), Pro ($35/month, 20,000 units, all video models, Nodes, LoRA), Max ($105/month, 60,000 units, 22K upscaling), and Business ($200/month, 80,000 units, up to 50 seats). Krea 2 LoRA training is in beta and available to Max and Business subscribers while the rollout continues more broadly. The [Train tool](https://www.krea.ai/train) is where you kick off the process, and the [official release page](https://www.krea.ai/index/krea-2-lora-training) has the full walkthrough including tips on dataset curation and captioning. For teams already paying for Max or Business, this is a meaningful addition at no extra cost. For everyone else, the question is whether persistent style control is worth the jump to a higher tier , and for any studio doing repeated work in a consistent visual language, the answer is probably yes. ## Sources - [Krea 2 LoRA training is now available - Krea](https://www.krea.ai/index/krea-2-lora-training) - [LoRAs for Krea 2 Are Coming to Train Tool - Krea](https://www.krea.ai/index/public-loras-krea-2-train) - [Introducing Krea 2 - Krea](https://www.krea.ai/index/krea-2-image-model) - [fal Launches Krea 2 as an Official API Partner](https://www.prnewswire.com/news-releases/fal-launches-krea-2-as-an-official-api-partner-bringing-kreas-first-foundation-image-model-to-developers-302783543.html) - [Krea AI on X — LoRA beta announcement](https://x.com/krea_ai/status/2057468861583347774)