Photo editing

LaMa

Removes unwanted objects, text and watermarks from photos with clean background fill. Lightweight and fast; still the standard for this task.

The last open version came out in Sep 2021. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
Samsung AI Center Moscow (with Skoltech), Russia
First release
Sep 2021
Latest release
Sep 2021
Sizes
about 51M
License
Commercial use allowedApache 2.0
Ready-made builds
GGUF
Running
On your own serverAlso runs without a GPU
Industries
Retail and marketplaces, Media and production
Deploy on your server GitHub

What it does

  • Removing price tags, people and clutter from photos
  • Cleaning interior and real estate photos
  • Removing text and dates from archival photos

Where it is used

Real estateOnline retailPhoto studios

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. LaMa и Big-LaMa

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can LaMa be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does LaMa need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does LaMa support Russian?

Language does not matter for this model: it does not work with text.

Where can I download LaMa and what does it cost?

The LaMa weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

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DetailsImage generationFLUXBlack Forest Labs · GermanyCommercial use with conditions

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Details

Source: github.com/advimman/lama. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.