Instructions to use thetechgeekko/latent-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use thetechgeekko/latent-models with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Latent on-demand models
LiteRT models the Latent camera app downloads on demand. The app pins every file by commit,
SHA-256 and size. Generic files run on any device (GPU or CPU); files under <soc>/ are
ahead-of-time compiled for that Qualcomm NPU and replace the generic file on matching devices.
Each file keeps its upstream licence; the texts are in licenses/.
| File | Bytes | SHA-256 | Source | Upstream revision | Licence | Build |
|---|---|---|---|---|---|---|
eraser/eraser_migan_512_fp16.tflite |
16,312,640 | ef53f8dca69e5ce2… |
https://huggingface.co/litert-community/MI-GAN-512-Places2-LiteRT | 179a35d8e8a518f6253f9c42fc9b412c6438cf7c migan_fp16.tflite | MIT | official LiteRT export, unmodified |
eraser/sm8850/eraser_migan_512_fp16.tflite |
21,841,296 | b0c794ca2eb0f526… |
https://huggingface.co/litert-community/MI-GAN-512-Places2-LiteRT | 179a35d8e8a518f6253f9c42fc9b412c6438cf7c migan_fp16.tflite | MIT | official LiteRT export, unmodified; AOT SM8850: ai-edge-litert 2.2.0 + ai-edge-litert-sdk-qualcomm 2.2.0 (QAIRT 2.47), tools/ml-litert/aot_compile.py |
upscale/upscale_esrgan_x4v3.tflite |
3,549,456 | 6d597b46d812ada4… |
https://huggingface.co/litert-community/real-esrgan-x4v3-litert | 0a6fc35ba3e34e80b53f43089c1d2b612d33bea9 realesr_general_x4v3.tflite | BSD-3-Clause | official LiteRT export, unmodified |
upscale/sm8850/upscale_esrgan_x4v3.tflite |
3,442,048 | 10907479755d9dac… |
https://huggingface.co/litert-community/real-esrgan-x4v3-litert | 0a6fc35ba3e34e80b53f43089c1d2b612d33bea9 realesr_general_x4v3.tflite | BSD-3-Clause | official LiteRT export, unmodified; AOT SM8850: ai-edge-litert 2.2.0 + ai-edge-litert-sdk-qualcomm 2.2.0 (QAIRT 2.47), tools/ml-litert/aot_compile.py |
denoise_ai/denoise_scunet_256_fp16.tflite |
38,261,872 | 466216d394d056e1… |
https://github.com/cszn/SCUNet | 52e440a80a655b01e0b41e9dd9bfe599bc11625e + KAIR v1.0 scunet_color_real_psnr.pth | Apache-2.0 | litert-torch 0.9.4 (rank-4 window attention), fp16 weights; tools/ml-litert/build_converted.sh |
denoise_ai/sm8850/denoise_scunet_256_fp16.tflite |
77,555,200 | 8d319b2c22baff67… |
https://github.com/cszn/SCUNet | 52e440a80a655b01e0b41e9dd9bfe599bc11625e + KAIR v1.0 scunet_color_real_psnr.pth | Apache-2.0 | litert-torch 0.9.4 (rank-4 window attention), fp16 weights; tools/ml-litert/build_converted.sh; AOT SM8850: ai-edge-litert 2.2.0 + ai-edge-litert-sdk-qualcomm 2.2.0 (QAIRT 2.47), tools/ml-litert/aot_compile.py |
tapmask/tapmask_sam2t_encoder.tflite |
80,278,528 | 9f87693052c7c9be… |
https://huggingface.co/litert-community/SAM2.1-Hiera-Tiny-Image-Encoder | e46fe448ab8314f4afcb262f74f6d61f8e23ae59 sam2_tiny_image_encoder_v2_fp16.tflite | Apache-2.0 | official LiteRT export, unmodified |
tapmask/tapmask_sam2t_decoder.tflite |
16,968,160 | 80d668b19156c548… |
https://huggingface.co/litert-community/SAM2.1-Hiera-Tiny-Mask-Decoder | 5eb2a03f1e3fdded966d8e9acd7fd387b6e26b6e sam2_tiny_mask_decoder_v2_fp16.tflite | Apache-2.0 | official LiteRT export, unmodified |
tapmask/sm8850/tapmask_sam2t_decoder.tflite |
12,294,064 | f745f06bbb6fe2ab… |
https://huggingface.co/litert-community/SAM2.1-Hiera-Tiny-Mask-Decoder | 5eb2a03f1e3fdded966d8e9acd7fd387b6e26b6e sam2_tiny_mask_decoder_v2_fp16.tflite | Apache-2.0 | official LiteRT export, unmodified; AOT SM8850: ai-edge-litert 2.2.0 + ai-edge-litert-sdk-qualcomm 2.2.0 (QAIRT 2.47), tools/ml-litert/aot_compile.py |
tapmask/tapmask_sam2t_prompt_const.bin |
3,072 | c1ac798f0cc0bd5e… |
https://huggingface.co/litert-community/SAM2.1-Hiera-Tiny-Mask-Decoder | 5eb2a03f1e3fdded966d8e9acd7fd387b6e26b6e prompt_encode_const.bin | Apache-2.0 | official prompt-encoder constants, unmodified |
colorize/colorize_ddcolor_tiny_512_fp16.tflite |
111,224,640 | 8f4ca1d5759e7641… |
https://github.com/piddnad/DDColor | 2adb63f2656ac41cbdf7b894cddd94121a3faf13 + HF piddnad/ddcolor_paper_tiny@cf9fd99c1d7472689ec7413441c1b799a51866a3 | Apache-2.0 | litert-torch 0.9.4, fp16 weights; tools/ml-litert/build_converted.sh |
people/selfie_multiclass_256x256.tflite |
16,371,837 | c6748b1253a99067… |
https://storage.googleapis.com/mediapipe-models/image_segmenter/selfie_multiclass_256x256/float32/1/selfie_multiclass_256x256.tflite | float32/1 | Apache-2.0 | official MediaPipe model, unmodified |
people/sm8850/selfie_multiclass_256x256.tflite |
10,447,184 | 9f14c8bd80b02283… |
https://storage.googleapis.com/mediapipe-models/image_segmenter/selfie_multiclass_256x256/float32/1/selfie_multiclass_256x256.tflite | float32/1 | Apache-2.0 | official MediaPipe model, unmodified; AOT SM8850: ai-edge-litert 2.2.0 + ai-edge-litert-sdk-qualcomm 2.2.0 (QAIRT 2.47), tools/ml-litert/aot_compile.py |
face/blaze_face_short_range.tflite |
229,746 | b4578f35940bf5a1… |
https://storage.googleapis.com/mediapipe-models/face_detector/blaze_face_short_range/float16/1/blaze_face_short_range.tflite | float16/1 | Apache-2.0 | official MediaPipe model, unmodified |
face/face_landmarks_detector.tflite |
2,553,590 | c7d54204ce044847… |
https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/1/face_landmarker.task | float16/1, member face_landmarks_detector.tflite | Apache-2.0 | official MediaPipe model, unmodified |
face/face_blendshapes.tflite |
955,312 | 4f36dded049db18d… |
https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/1/face_landmarker.task | float16/1, member face_blendshapes.tflite | Apache-2.0 | official MediaPipe model, unmodified |
Licences
licenses/Real-ESRGAN.txt: BSD-3-Clause, from https://raw.githubusercontent.com/xinntao/Real-ESRGAN/a4abfb2979a7bbff3f69f58f58ae324608821e27/LICENSElicenses/MI-GAN.txt: MIT, from https://raw.githubusercontent.com/Picsart-AI-Research/MI-GAN/2b793c5ece43f4253e32d4afc257120a5deed6f5/LICENSElicenses/SCUNet.txt: Apache-2.0, from https://raw.githubusercontent.com/cszn/SCUNet/52e440a80a655b01e0b41e9dd9bfe599bc11625e/LICENSElicenses/DDColor.txt: Apache-2.0, from https://raw.githubusercontent.com/piddnad/DDColor/2adb63f2656ac41cbdf7b894cddd94121a3faf13/LICENSElicenses/SAM2.txt: Apache-2.0, from https://raw.githubusercontent.com/facebookresearch/sam2/2b90b9f5ceec907a1c18123530e92e794ad901a4/LICENSElicenses/MediaPipe.txt: Apache-2.0, from https://raw.githubusercontent.com/google-ai-edge/mediapipe/6d31f1ebc3284db74d211d62bdc4f0a0c29ea120/LICENSE
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