Krea 3 vs Krea 2 Comparison for Image Editing and Generation
A technical evaluation of Krea's hosted image editing model against its open-weights text-to-image predecessor for production pipelines.
Krea 3 and Krea 2 do different jobs, so the newer model is not an upgrade of the older one. Krea 3 is an image editing model that changes images you already have, running on Krea's servers. Krea 2 is a text-to-image model that generates new images from a prompt and ships open weights you can self-host.
Krea released Krea 2 in May 2026 as a generative Diffusion Transformer (DiT), later publishing open-weights checkpoints in June 2026. Krea launched Krea 3 on October 15, 2026, and says it is built for production work such as scene changes, object removal and variants at volume.
Krea 3 vs. Krea 2: Side-by-Side
| Dimension | Krea 3 | Krea 2 |
|---|---|---|
| Main job | Edits existing images through localized bounding boxes, regional changes, object removal, and scene relighting. | Generates new images from text prompts using a Diffusion Transformer. |
| Release date | Launched as an open beta on October 15, 2026. | Launched in May 2026, with open-weights checkpoints released June 22 to 23, 2026. |
| Weights | Weights not released as of October 2026; runs on Krea, its API partners, or your own GPUs on an enterprise plan. | Open weights available for download as two checkpoints: Raw, the undistilled base, and Turbo, the distilled version. |
| License | Commercial license on paid Krea plans (Krea's page is unclear on the Free plan); Business adds Business Terms of Service, and Enterprise adds IP indemnification when usage follows the agreement terms. | Krea 2 Community License with an Acceptable Use Policy; sources differ on the commercial threshold (VentureBeat says organizations over 50 seats need an Enterprise license, another source cites a revenue threshold). |
| Model size | Not published by Krea. | Approximately 12-billion-parameter Diffusion Transformer architecture. |
| Speed (not like-for-like) | Under 8 seconds end-to-end median edit time at native 2K resolution, queue included, as reported by Krea. | About 2 seconds per image generation on consumer hardware using Krea 2 Turbo, noting this measures generation from scratch rather than hosted edit round-trips. |
| Resolution | Native 2K output, with 4K output reported by TestingCatalog and Glitchwire but unconfirmed on Krea's launch post. | Native 2K generation on consumer hardware. |
| Reference inputs | Accepts up to 6 reference images per edit request according to Krea's launch post. | Generates images from text prompts; reference inputs are not listed. |
| Fine-tuning / LoRA | LoRA support is reported by TestingCatalog and Glitchwire, but Krea co-founder Diego Rodriguez said on Hacker News that fine-tuning is only under consideration. | The Krea 2 Raw checkpoint is meant for fine-tuning and training LoRAs; the advice is to train on Raw and generate with Turbo. |
| Price | API list price of $0.06 per image at 2K and $0.03 at 1K as of October 2026, plus Krea app plans from $0 to $200 per month (Enterprise is custom). | Open weights run on your own hardware, with an Enterprise license needed above the community license threshold; Krea 2 is also in the Krea API, but no per-image Krea 2 price is published as of October 2026. |
| Where to run | Hosted on the Krea web application, Krea API, and partner infrastructure platforms, or on your own GPUs on an enterprise plan. | Local GPU hardware, self-hosted cloud instances, the Krea application, and the Krea API. |
| Self-hosting | Available on enterprise plans to run on your own GPUs in your cloud. | Self-hostable on your own hardware under the Krea 2 Community License; larger organizations need an Enterprise license, and sources differ on where that threshold sits. |
| Benchmarks | Krea's launch post names no benchmark score and Krea promises a technical report; Glitchwire reports 4.81 out of 5 on CPI-Bench in an Ultra tier, second behind GPT Image 2.5 (a press report, not confirmed by Krea). | Not published. |
| Best for | Rapid regional edits, product color matching, background replacement, and localized adjustments on existing visual assets. | High-throughput text-to-image creation, custom model fine-tuning, and offline private deployments. |
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Krea 3 or Krea 2: The Short Answer
Use Krea 3 to edit images you already have, quickly, on Krea's servers. Keep Krea 2 for generating new images, especially if you need open weights to self-host or fine-tune.
The deciding operational question is whether your project requires modifying an image you already have or creating a new composition from nothing. Krea 3 does not yet replace Krea 2 for text-to-image work. A Krea teammate said on Hacker News that Krea 3's text-to-image tuning is not final.
Krea 2 cannot match Krea 3 for localized image editing because Krea 2 generates new images from a prompt rather than editing regions.
- Choose Krea 3 when changing specific regions, swapping backgrounds, or adjusting product colors on existing images.
- Choose Krea 2 when generating original scenes from text prompts without an existing visual starting point.
- Choose Krea 2 when image data must stay on your own hardware and you do not have the enterprise plan Krea 3 needs for self-hosting.
- Choose Krea 3 when you need an API for automated photo cleanup.
Functional Differences Between Krea 2 and Krea 3
Krea 2 generates new images and ships open weights, while Krea 3 edits existing images and runs on Krea's servers unless you are on an enterprise plan.
Krea 2 operates as a generative Diffusion Transformer (DiT) that creates complete images from text prompts across its entire canvas. Krea's product page says most edits change a small part of the image, so Krea 3 finds that region first and renders only what changes.
On Hacker News, Krea co-founder Diego Rodriguez said text-to-image remains first-class for Krea 3 but editing came first.
- Input modalities: Krea 3 accepts existing images alongside text instructions and up to 6 reference images, while Krea 2 relies on text prompts.
- Text-to-image maturity: Krea 2 is a text-to-image model with a post-trained Turbo checkpoint, while a Krea teammate said Krea 3's text-to-image tuning is not final.
Speed and Price Comparison for Krea 3 vs Krea 2
Krea 3's speed figure and Krea 2's speed figure time different jobs.
Krea reports that most Krea 3 edits complete in under 8 seconds end-to-end at native 2K resolution, and about 4 to 5 seconds on its fastest setup. Krea's launch post gives median times per 2K edit, queue included, from September 24 to October 1, 2026. It lists Nano Banana 2 at 27 seconds, Nano Banana Pro at 33 seconds and GPT Image 2 at 90 seconds. On the Krea 3 product page, Krea presents an alternative batch comparison showing Nano Banana Pro at 26.8 seconds and GPT Image 2.5 at 39.9 seconds. The two Krea pages give different rival timings, and all of them are Krea's own numbers. No independent test has checked these timings.
Krea 2 Turbo makes a new image from scratch in about 2 seconds on consumer hardware, according to VentureBeat. Krea 3's under-8-second figure is an edit round trip that includes the queue.
As of October 2026, Krea 3's published API list price is $0.06 per image at 2K resolution and $0.03 per image at 1K resolution. Krea's own table, priced without image references, puts 100,000 edits a month at $6,000 on Krea 3, $13,500 on Nano Banana Pro and $22,000 on GPT Image 2. Krea 2 also runs in the Krea API (Medium, Large and Turbo endpoints), but no per-image Krea 2 API price is published as of October 2026. Running Krea 2 on your own hardware costs your GPU time, plus an Enterprise license if your organization is above the community license threshold.
Krea lists these app plans on its pricing page as of October 2026. A qualifying Pro or Max annual purchase adds 14 days of unlimited Fast generations at 1K and 2K; Basic is not included.
- Free: $0, 100 compute units a day, about 5 Krea 3 Beta images a day.
- Basic: $9 a month, or $5 a month billed yearly (the comparison table shows $5.25), 5,000 units a month, about 277 images.
- Pro: $35 a month, or $21 a month billed yearly, 20,000 units a month, about 1,111 images.
- Max: $105 a month, or $63 a month billed yearly, 60,000 units a month, about 2,222 images.
- Business: $200 a month, or $160 a month billed yearly, 80,000 units a month, about 1,111 images as listed by Krea.
- Enterprise: custom pricing.
Open Weights and Fine-Tuning Support
Krea 2 ships downloadable checkpoints you can fine-tune, while Krea 3 has no public weights and runs on your own GPUs only on an enterprise plan.
Krea released Krea 2 weights on June 22 and 23, 2026, across two distinct checkpoints hosted on the Hugging Face repository. Krea 2 Raw is the undistilled base checkpoint of Krea 2, a Diffusion Transformer with about 12 billion parameters. Krea 2 Raw runs at 52 steps with a guidance scale of 3.5. Krea 2 Raw is meant for fine-tuning and training Low-Rank Adaptation models (LoRAs), and it is not recommended for inference. Krea 2 Turbo is a distilled variant optimized for inference, executing in 8 steps to deliver 2-second generation times. The recommended workflow is "Train on Raw, generate with Turbo."
Krea 2 uses the Krea 2 Community License with an Acceptable Use Policy, and VentureBeat reports that deployers must filter inputs and outputs for illegal content. VentureBeat says the license is free for individuals, creators and small companies, and that organizations over 50 seats need an Enterprise license. Another source cites a revenue threshold instead, so read the license on the Hugging Face model card before you build on it.
TestingCatalog (a sponsored article) and Glitchwire report that Krea calls Krea 3 the first editing model you can fine-tune with LoRAs on a product, person or style. Krea co-founder Diego Rodriguez wrote on Hacker News that the team is only thinking about LoRA fine-tuning and open weights while it works through launch hiccups. The press reports and the co-founder's post do not match. If you need to fine-tune today, Krea 2 is the model with published weights.
Combined Workflows Across Both Models
Engineering pipelines can combine Krea 2 and Krea 3 sequentially to handle both asset generation and fine-grained image correction.
A studio can run Krea 2 Turbo on its own hardware to generate many candidate concepts at about 2 seconds each, without paying a hosted per-image price. Once a creative team picks the best compositions, it can send them to Krea 3 through the API for brand changes.
Within Krea 3, you draw a box around a region and describe the change, such as a new background, a named hex color on a product, or a swapped logo. Krea says Krea 3 redraws inside the box and leaves the rest. One designer on Hacker News reported faces changing in a background-removal test, so review faces in each edited image before it ships. Krea 3 accepts up to 6 reference images per request, allowing operators to cite reference images by index number to preserve visual consistency across multiple iterations. Krea does not document a pipeline that uses both models; chaining them combines each model's listed capabilities.
- Step 1: Generate initial concept variations in bulk using local Krea 2 Turbo instances.
- Step 2: Filter outputs and select target plates requiring commercial branding adjustments.
- Step 3: Submit plates to Krea 3 with numerical references to brand assets or product photographs.
- Step 4: Make regional edits, hex color matches, or background swaps inside the boxed region.
- Step 5: Export native 2K assets directly into publishing or e-commerce pipelines.
Workload Selection for Krea 3 vs Krea 2
The job decides the pick. Krea 3 edits images you already have, and Krea 2 makes new ones on hardware you can control.
If image data must stay inside your own systems, Krea 2's open weights let you run generation on your own hardware. Krea 3 offers self-hosting only on an enterprise plan. Krea 3 fits marketing teams, catalog managers and e-commerce studios that need fast object replacement and photo retouching on existing images.
- Choose Krea 2 if you want to download the weights and run generation on your own GPUs.
- Choose Krea 2 if you need to train your own LoRAs on the 12-billion-parameter Raw checkpoint.
- Choose Krea 2 if your application generates thousands of synthetic concepts daily from text prompts alone.
- Choose Krea 3 if your primary bottleneck is retouching, object removal, or relighting on existing photographs.
- Choose Krea 3 if you need to integrate regional photo editing via a hosted API at Krea's $0.06 list price per 2K image as of October 2026.
- Choose Krea 3 if you require multi-turn image edits that reference brand assets by index number.
The Verdict
Krea 3 and Krea 2 are built for fundamentally different tasks. Choose Krea 2 if you need a high-throughput text-to-image generator that you can run locally, fine-tune with your own LoRAs, and deploy under the Krea 2 Community License. Choose Krea 3 if your team needs to edit existing product photographs, swap backgrounds, and execute regional changes at volume through hosted cloud endpoints.
If you both create and clean up images, you can run both models. Generate with Krea 2 Turbo on your own hardware, then fix regions, colors and packaging in Krea 3. Krea does not document this pipeline; it combines each model's listed capabilities.
Who this is not for: if you need an image editor you can download and run yourself, Krea 3 does not fit today. Krea has not released Krea 3 weights, and self-hosting needs an enterprise plan. What would change this recommendation: Krea releasing Krea 3 weights or LoRA fine-tuning, a Krea technical report, or independent benchmarks. Any of those would make Krea 3 a stronger fit for jobs that today need Krea 2.
Researched from primary vendor documentation and public regulator sources. Pricing and availability are accurate as of Oct 16, 2026 and can change — confirm current terms with each vendor before you buy.
Frequently Asked Questions
- No editing feature is listed for Krea 2. Krea 2 is a text-to-image model that generates new images from a prompt. Krea 3 is Krea's editing model, with box-based regional edits and up to 6 reference images per edit.
- Krea 2 is best for generating new images from text prompts, at about 2 seconds per image on Krea 2 Turbo. Krea 2's open weights let teams train their own LoRAs on the Raw checkpoint. Teams can also run Krea 2 Turbo on their own GPUs instead of paying a hosted API per image.
- Krea 2 Raw is the undistilled base checkpoint for fine-tuning and training LoRAs, and it is not recommended for inference. Krea 2 Raw runs at 52 steps with a guidance scale of 3.5. Krea 2 Turbo is a distilled version designed for inference, executing in 8 steps to generate images in approximately 2 seconds on consumer GPU hardware.
- Krea 2 was developed by Krea, an artificial intelligence laboratory based in San Francisco founded by Victor Perez and Diego Rodriguez. Press reports say Krea has raised over $80 million.
- Krea 2 contains approximately 12 billion parameters organized as a Diffusion Transformer (DiT) architecture built from scratch. VentureBeat and the Hugging Face model card overview give about 12 billion; the model's file metadata says 13 billion, so the sources differ slightly.
- No, Krea 3 is not open source and does not provide downloadable weights as of October 2026. Krea 2 ships open weights on Hugging Face under the Krea 2 Community License. Krea 3 runs on Krea's servers and API partners, and it runs on your own GPUs only on an enterprise plan.
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