tag:github.com,2008:https://github.com/mlcommons/mobile_open/releases 2024-02-08T00:07:53Z tag:github.com,2008:Repository/406485501/v4.1-sd-tflite 2025-03-02T06:12:55Z <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="# SHA 256 f5386ed5848cd50cd885c3a247369395be579ede5bba2660181ec13c3060c112 TEXT_ENCODER_sdv15_fixed_batch_fp32.tflite e439951df040a2251ce0c8e30847a720d6172c623eb2beb757a8bb994f53b2f1 TIME_EMBED_HEAD_sdv15_time_emb_head_LinSiluLin_fp32.tflite 3e589a586029f015c54eb7f805146bbad1651e460ccae1d49e2756e96e2c32d2 UNET_p1_sdv15_diffusion_model_first_fp32.tflite 0b366ef4fd18f730983696486afdbc73235e7f5ed700db6ca55e1cd417b9ea30 UNET_p2_sdv15_diffusion_model_second_fp32.tflite 21e1df52ee58abd910370f94579cd9dcbc9c34fe59e0747b7308481a5220934f VAE_DECODER_sdv15_fixed_batch_fp32.tflite d0149b41e1dafba5d94aa73aed5c497147ac03db3f2b6089e148b717e059e902 sd_decoder_fp16.tflite 181637b7f8605a9a430d1537807effe4e407bb2daa7d223254fbd74ac14d3774 sd_decoder_qint8.tflite 92eb8431100c36b7a19fb4513407db5f822a1818fd4bb473461a03869e29461c sd_diffusion_full_model_dynamic_qint8.tflite 89052ae9d691ed3257fc7e1c468210f5b4c668c546ef9bd8b56063a8a00fb0a8 sd_diffusion_full_model_mlperfv41_v2_fp16.tflite 234d47527b076357948137bbc5b50ffd1570bc5928c8a66f85ed0e75f00461c1 sd_text_encoder_fp16.tflite 1bfb962195c569e64c3506a2c096f18fa925bbb883bd2e4eb88f9a4950685851 sd_text_encoder_qint8.tflite 4eebd2fe09a0c67157f996037aaa1ef2d486f30794f012ebc5019c26deea8c84 timestep_embeddings_data.bin.ts 657385355fd370ad1d6134f3f87a9340884e5eaa5ae44c63bdad5868b4ce47be unet_time_step_embeddings_20.pkl"><pre class="notranslate"><code># SHA 256 f5386ed5848cd50cd885c3a247369395be579ede5bba2660181ec13c3060c112 TEXT_ENCODER_sdv15_fixed_batch_fp32.tflite e439951df040a2251ce0c8e30847a720d6172c623eb2beb757a8bb994f53b2f1 TIME_EMBED_HEAD_sdv15_time_emb_head_LinSiluLin_fp32.tflite 3e589a586029f015c54eb7f805146bbad1651e460ccae1d49e2756e96e2c32d2 UNET_p1_sdv15_diffusion_model_first_fp32.tflite 0b366ef4fd18f730983696486afdbc73235e7f5ed700db6ca55e1cd417b9ea30 UNET_p2_sdv15_diffusion_model_second_fp32.tflite 21e1df52ee58abd910370f94579cd9dcbc9c34fe59e0747b7308481a5220934f VAE_DECODER_sdv15_fixed_batch_fp32.tflite d0149b41e1dafba5d94aa73aed5c497147ac03db3f2b6089e148b717e059e902 sd_decoder_fp16.tflite 181637b7f8605a9a430d1537807effe4e407bb2daa7d223254fbd74ac14d3774 sd_decoder_qint8.tflite 92eb8431100c36b7a19fb4513407db5f822a1818fd4bb473461a03869e29461c sd_diffusion_full_model_dynamic_qint8.tflite 89052ae9d691ed3257fc7e1c468210f5b4c668c546ef9bd8b56063a8a00fb0a8 sd_diffusion_full_model_mlperfv41_v2_fp16.tflite 234d47527b076357948137bbc5b50ffd1570bc5928c8a66f85ed0e75f00461c1 sd_text_encoder_fp16.tflite 1bfb962195c569e64c3506a2c096f18fa925bbb883bd2e4eb88f9a4950685851 sd_text_encoder_qint8.tflite 4eebd2fe09a0c67157f996037aaa1ef2d486f30794f012ebc5019c26deea8c84 timestep_embeddings_data.bin.ts 657385355fd370ad1d6134f3f87a9340884e5eaa5ae44c63bdad5868b4ce47be unet_time_step_embeddings_20.pkl </code></pre></div> <p>The TFLite models for Stable Diffusion v1.5 have been converted from the Hugging Face's models.</p> anhappdev tag:github.com,2008:Repository/406485501/v4.1-sd-onnx 2025-01-27T04:04:17Z <p>The Stable Diffusion v1.5 models are converted to ONNX. Time Embeddings are precomputed, where the model for Unet takes 1x1280 precomputed Time Embeddings.</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="# SHA256 checksum 642cbf6faf373b2bc1a180c1ba7868cbd675db82da7dd8108ceaa586f8b67a42 text_encoder.onnx 645d40e7e7eb9e8a669390d8bb6e14377679b7376da55fb3b4c1e6e551e4de15 unet.onnx 988c3a4cadaef719f7f4c85bd97eafc37980c16eeddce86dc9664f06fc19c7ee vae_decoder.onnx"><pre class="notranslate"><code># SHA256 checksum 642cbf6faf373b2bc1a180c1ba7868cbd675db82da7dd8108ceaa586f8b67a42 text_encoder.onnx 645d40e7e7eb9e8a669390d8bb6e14377679b7376da55fb3b4c1e6e551e4de15 unet.onnx 988c3a4cadaef719f7f4c85bd97eafc37980c16eeddce86dc9664f06fc19c7ee vae_decoder.onnx </code></pre></div> anhappdev tag:github.com,2008:Repository/406485501/v4.1-sd 2024-02-08T00:07:53Z <p>Mobilenet v4 classification</p> freedomtan tag:github.com,2008:Repository/406485501/model_upload 2024-02-07T23:38:42Z <p>Uploading the MobileNetV4-Conv-Large Saved Model and FP23 TFLite.</p> colbybanbury