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SANA Streaming Training Code (#421) * bidirectional training release * release sana streaming training code * Fix pre-commit formatting * test: cover streaming paired data and chunks * fix typo, remove unused code, add re-try boundary * pre-commit * test: cover bidirectional streaming training * fix: bound V2V batch retries locally * fix reverse generation overlap * add online validation * test: cover reverse overlap and V2V validation --------- Co-authored-by: junsong <cjs1020440147@icloud.com> | 3 个月前 | |
LongSANA: support SANA-Video + [LongLive](https://github.com/NVlabs/LongLive) (#341) * longsana training and inference code release * [CI-Lint] Fix code style issues with pre-commit 51181934710b656bf0792c4133cd44c32f4040c0 * update convert script; * update pre-commit version; * ci update; * revoke keys and update related code; * 1. add train val txt samples files for longsana; 2. clean yaml file for better vis; * pre-commit; * 1. add some TODOs where path need to be updated; 2. change all Chinese into English; 3. remove unused commands and comments; (stop before diffusion/longsana/trainer/longsana_trainer.py) * update data path and longsana docs * change `asset/longsana` to `data/longsana`, since the ./asset is not in gitignore, but ./data is. * 1. add longsana CI training test; 2. remove some unsed code; 3. add max_iters to the config in training scripts; * strict loss print to 4 digits; * 1. keep cleaning unsed code; 2. add longsana CI inference test; 3. add diffusers pipeline in md; * update readme; Co-authored-by: Shuai <a18310626323@163.com> * update model zoo * remove all unsed functions; * update readme; Co-authored-by: LoveSy <shana@zju.edu.cn> Co-authored-by: Enze Xie <johnny_ez@163.com> * fix some TODOs * pre-commit; * pre-commit; * ci update; * fix bug; * fix bugs; * fix bug; --------- Co-authored-by: GitHub Action <action@github.com> Co-authored-by: junsong <cjs1020440147@icloud.com> Co-authored-by: Shuai <a18310626323@163.com> Co-authored-by: LoveSy <shana@zju.edu.cn> Co-authored-by: Enze Xie <johnny_ez@163.com> | 10 个月前 | |
Support stage-1 CP training, SANA-WM Benchmark & fp8/fp4 quantized streaming inference (#404) * feat(sana-wm): support stage-1 CP training * docs(sana-wm): expose chunk-causal training entry * style: run pre-commit on sana-wm training changes * docs: add SANA-WM benchmark guide * SANA-WM streaming: per-component fp8/fp4 quantized inference Add --stage1_precision/--refiner_precision (bf16/fp8/fp4) with per-block fp8_autocast scoping that preserves action-following, fp8 recipe selector for stage-1 + refiner, default Transformer Engine install, and benchmark docs. * Polish Sana-WM PR docs and formatting * Use end-to-end Sana-WM inference CI * Add SANA-WM stage1 training CI * Run SANA-WM stage1 smoke in video CI * Keep SANA-WM training in dedicated CI job --------- Co-authored-by: junsong <cjs1020440147@icloud.com> | 4 个月前 |
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