ProductChat Studio model artifacts
This repository contains model artifacts used by ProductChat Studio. Each artifact keeps its upstream attribution and license notice. The repository license field is Apache-2.0 for the LaMa artifact; see the per-model notices below.
Included artifacts
| File | Function | Upstream | License | SHA-256 |
|---|---|---|---|---|
lama_fp32.onnx |
512×512 masked inpainting | sapienkit/LaMa-ONNX, based on advimman/lama | Apache-2.0; Places2 attribution required | 1faef5301d78db7dda502fe59966957ec4b79dd64e16f03ed96913c7a4eb68d6 |
RealESRGAN_x4plus.pth |
General-purpose 4× super-resolution | xinntao/Real-ESRGAN | BSD-3-Clause | 4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1 |
LaMa input contract
lama_fp32.onnx expects image with shape [1,3,512,512] and mask with shape [1,1,512,512], both float32. The mask uses 1 for the region to erase and 0 for the region to keep. The output is RGB float32 in the [0,255] range.
MI-GAN status
MI-GAN is not included yet. The official implementation is MIT-licensed, but the released pretrained weights do not currently provide a clear model-card or weight-license statement. The weights will only be added after the upstream authors confirm that commercial redistribution is permitted.
Notices
- LaMa: see
LICENSE-LAMA.txt. The model card attributes Places2, which is licensed CC-BY 4.0. - Real-ESRGAN: see
LICENSE-REALESRGAN.txt. - This repository does not include DreamLite.
Sources
- LaMa: https://github.com/advimman/lama
- LaMa ONNX export: https://huggingface.co/sapienkit/LaMa-ONNX
- Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN
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