AUXOUT-TEAM/agit-lama-inpainting

image-to-image model by AUXOUT-TEAM

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Model card & documentation

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写真アプリ Agit の「AI 消去」が端末の中で動かす、画像の穴埋めのモデル。LaMa の big-lama を ONNX にした物で、ONNX Runtime の CPU で iOS・Android・macOS・Windows で動くことを確かめた。写真はネットに送らない。 Apache License 2.0 の §4 (b) に従い、変えた所を書く。 LaMa の論文: Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky. Resolution-robust Large Mask Inpainting with Fourier Convolutions.…

AUXOUT-TEAM/agit-lama-inpainting on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-01T07:20:36.287Z

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Model overview

AUXOUT-TEAM/agit-lama-inpainting is a image-to-image model repository published by AUXOUT-TEAM on Hugging Face. The source reports the onnx library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: image-to-image
Library: onnx
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-11-01T06:28:22.000Z
Last modified: 2026-11-01T06:28:48.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: smartywu/big-lama

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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