ModelPrésentéExterne

Lama Npu 8elite

Precompiled QNN-ONNX build of LaMa (lamadilated, Apache-2.0) for Snapdragon 8 Elite (Hexagon v79), used by Latent Studio for on-device object removal. All 332 layers run on the Hexagon NPU (40 ms/image) instead of...

Sourcehuggingface.co/latentdivergence/lama-npu-8elite/tree/165f5cf3b10eeb261697ae169882197d82f8918b

TypeOtherVersionLama dilated qairt contextBClasse

Source du modèle

Type: Other
Taille du fichier: 459 B–93,1 MB
Version: vLama dilated qairt context
Mis à jour: 9 oct. 2026
Source: Hugging Face

Description de la source

LaMa object-removal eraser — Snapdragon 8 Elite (Hexagon v79), Hexagon NPU

Precompiled QNN-ONNX build of LaMa (lama_dilated, Apache-2.0) for Snapdragon 8 Elite (Hexagon v79), used by Latent Studio for on-device object removal. All 332 layers run on the Hexagon NPU (~40 ms/image) instead of seconds on CPU.

Files:

lama_dilated.onnx — EPContext wrapper
lama_dilated_qairt_context.bin — the Hexagon context binary (chip-specific)

Inputs: image (1,3,512,512) RGB 0..1, mask (1,1,512,512). Output: repainted image. Compiled via Qualcomm AI Hub at float precision (no quantization).

Sources

1 source

Hugging FacePrincipalVersion 165f5cf3b10eeb261697ae169882197d82f8918b

huggingface.co/latentdivergence/lama-npu-8elite/tree/165f5cf3b10eeb261697ae169882197d82f8918b

Vérifié 9 oct.

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Artefacts du modèle

2 artefacts

lama_dilated_qairt_context.bin

bin · 93,1 MB · SHA-256 5827365f304c…7ed6 · Hugging Face

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lama_dilated.onnx

onnx · 459 B · SHA-256 04d544d62b53…92f6 · Hugging Face

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Extraits de sources

2 extraits

Readme31 juil.huggingface.co/latentdivergence/lama-npu-8elite

--- license: apache-2.0 tags: [lama, inpainting, object-removal, qnn, hexagon, npu, on-device] --- # LaMa object-removal eraser — Snapdragon 8 Elite (Hexagon v79), Hexagon NPU Precompiled QNN-ONNX build of **LaMa** (`lama_dilated`, Apache-2.0) for **Snapdragon 8 Elite (Hexagon v79)**, used by Latent Studio for on-device object removal. All 332 layers run on the Hexagon NPU (~40 ms/image) instead of seconds on CPU. Files: - `lama_dilated.onnx` — EPContext wrapper - `lama_dilated_qairt_context.bin` — the Hexagon context binary (chip-specific) Inputs: image `(1,3,512,512)` RGB 0..1, mask `(1,1,512,512)`. Output: repainted image. Compiled via Qualcomm AI Hub at float precision (no quantization).

Note31 juil.huggingface.co/latentdivergence/lama-npu-8elite

Source context: 0 downloads · 0 likes · Repo latentdivergence/lama-npu-8elite