Will Lin and Claude Fable 5
9713ea1275
[misc] use the full release name FastVideo-Minimax-FastH3-Preview-v0.1
...
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-08-21 09:27:38 +00:00
Will Lin and Claude Fable 5
37aa382cce
[bugfix] example: the distilled FastH3 grid is 4 forwards = a 5-point sigma grid
...
MiniMaxH3Scheduler.set_timesteps(N) builds an N-point sigma grid ending at
0 and runs N-1 transformer forwards (the base model's '50 steps' preset is
49 forwards). The student was distilled on a 4-FORWARD grid
(t = 1000/750/500/250 -> 0 on the shift-12 schedule), so --steps 4 was
silently running a 3-forward, off-distribution grid. Default is now 5
grid points = the distilled 4-forward grid, with the convention documented
on the flag.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-08-21 09:27:38 +00:00
Will Lin and Claude Fable 5
3f00983287
[feat] attention: opt-in sm_100a CUDA forward route for VSA-H3 tile-64
...
FASTVIDEO_VSA_SM100A=1 (default off) sends no-grad tile-64 forwards through
fastvideo_kernel.block_sparse_attn_sm100a (the Blackwell block-sparse
forward merged in #1719 , which handles per-q-tile NON-uniform q2k_num rows
and zero-count rows). Route preconditions: module importable,
is_supported() (sm_100 device, bf16, head_dim 128, even tile count), no
grad tracking; any failure with the env set logs one warning and falls
back to the Triton-64 kernels, which also keep the entire grad path
unchanged.
The bool block map is compacted with the same map_to_index the Triton bool
entry uses, so the sm_100a kernel sees H3's true NON-uniform per-row counts
(prefix query tiles dense, video tiles prefix+top-k).
The FastH3 example surfaces the route as --vsa-kernel {triton,sm100a}
(default triton), which sets the env before pipeline boot so spawned GPU
workers inherit it; documented in the basic README.
CPU route-selection tests: default-off, engage-on-env, grad fallback,
warn-once fallback for missing module/unsupported geometry, no-grad-context
detection.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-08-21 09:27:38 +00:00
Will Lin and Claude Fable 5
2dc57f4070
[misc] rebrand the few-step preview to FastH3 (model string, example name, docs)
...
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-08-21 09:27:38 +00:00
Will Lin and Claude Fable 5
9df19be719
[feat] example: few-step FastVideo-Minimax-H3-Preview inference (4-step DMD2 student)
...
basic_fast_minimax_h3.py runs FastVideo/FastVideo-Minimax-H3-Preview-v0.1,
the data-free-DMD2 distillation of MiniMax-H3: 4 denoising steps on the
release sampler's shift-12 schedule (vs the base model's 50), synchronized
video+audio in one pipeline call, guidance_scale 1.0.
The script always requests the VSA-H3 attention backend through the typed
boot-time route (pipeline.experimental -> FastVideoArgs.attention_backend):
the student checkpoint carries trained to_gate_compress gates, which only
exist under that backend. --vsa-sparsity defaults to 0.0 (every tile
selected — exactly dense attention); --vsa-tile-size defaults to 64, the
geometry the student was trained with, and is forwarded even at sparsity 0
because the gate-compress branch pools per tile. The HF repo is private
while the MiniMax H3 Community License review completes; --model-path
accepts a local snapshot meanwhile (noted in the script and README).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
2026-08-21 09:27:38 +00:00
Shao Duan
c4ad4227c0
[misc] MiniMax-H3: move the AdaLN converter into scripts/checkpoint_conversion ( #1712 )
2026-08-21 02:15:00 -05:00
Aryan Kumar and Aryan Kumar
8537dcd6de
[feat]: Apple Silicon MLX runtime — INT8 Wan2.1 and Wan2.2 inference ( #1638 )
...
Co-authored-by: Aryan Kumar <aryan5v@users.noreply.github.com >
2026-08-18 15:08:00 -07:00
William Lin
8208536cd1
[bugfix] profiler region system: record + export actually work, usability roll-up ( #1691 )
2026-08-09 20:35:53 -07:00
Kai
0653f8f3af
[new-model] Add V2A: native MMAudio inference pipeline ( #1622 )
2026-08-09 17:29:27 -07:00
Shao Duan
541ef014ee
[perf] MiniMax-H3: rank-reduced AdaLN pruned model option (-39% params, -23 GiB VRAM) ( #1699 )
2026-08-09 12:31:57 -07:00
William Lin
9028953625
[misc] yapf pass under CI's interpreter (3.12) + pin hook language_version ( #1702 )
2026-08-08 22:24:17 -07:00
Junda Su
c3567eb468
[feat] add Minimax H3 sft pipeline ( #1688 )
2026-08-07 16:12:04 -07:00
William Lin
15568f27db
[perf]: H3 torch.compile + CUDA graphs (1.2-1.3x) with denoising step marking ( #1689 )
2026-08-06 16:23:33 -07:00
Raghav K and SolitaryThinker
a2bfc7cdb2
[docs] DGX Spark (GB10) performance & tuning guide + reproduction examples ( #1631 )
...
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-08-06 14:36:38 -07:00
Kaiqin Kong
e8b0e4c61e
[feat] Add MiniMax H3 ( #1674 )
2026-08-04 13:54:39 -07:00
Suhaan Khurana
05406c5d1b
[misc]: consolidate dataset download scripts under examples/datasets/ ( #1667 )
2026-08-02 14:21:24 -07:00
William Lin
98d65835b5
[misc]: refresh stale sm_120-only validation notes in QAT recipes ( #1655 )
2026-07-27 19:35:29 -07:00
William Lin
422585d08f
[misc]: add LTX-2.3 fine-tuning example recipes ( #1651 )
2026-07-27 18:42:44 -07:00
William Lin
d71acc0eb5
[bugfix]: fix stale imports in LTX-2.3 gradio local demo ( #1640 )
2026-07-27 16:31:07 -07:00
William Lin
af2934dd6b
[feat]: FA4-FP4 ATTN_QAT_INFER on sm_100/sm_103 + NVFP4 weight purge ( #1647 )
2026-07-27 15:46:52 -07:00
William Lin
5ae05b032e
[misc]: add LTX-2 fine-tuning example recipes ( #1645 )
2026-07-27 11:11:49 -07:00
Lev Novitskiy and Claude Sonnet 5
8b23984c79
[feat] Add Kandinsky5 QAD training pipeline: data preprocessing, QAT finetune, QAT-aware DMD distillation ( #1601 )
...
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com >
2026-07-26 02:59:21 -07:00
William Lin
bf18371afe
[feat] Enable LTX-2 NVFP4 linear and attention QAT fine-tuning ( #1626 )
2026-07-26 02:19:34 -07:00
William Lin
65f3b946b9
[feat] Add LTX-2 and LTX-2.3 fine-tuning to the modular trainer ( #1624 )
2026-07-20 11:58:39 -07:00
Zhang Peiyuan
191fcbf46c
[feat] add qat docs ( #1621 )
2026-07-19 18:37:47 -07:00
Junda Su
755a4e4470
[new-model] Add LingBot-Video Dense and MoE/refiner T2V inference ( #1595 )
2026-07-18 20:18:16 -07:00
9709b7513b
[feat] Port NVFP4 QAT/QAD to modular train framework ( #1619 )
...
Co-authored-by: Peiyuan Zhang <email>
Co-authored-by: Peiyuan <a>
2026-07-18 15:01:09 -07:00
Junda Su
d4bdd3621a
[new-model] Port LingBot-World-v2 ( #1579 )
2026-07-16 19:51:53 -07:00
6966f9e0bc
[fix] Z-Image ( #1236 ) draft port: rebase + strict-load contract + bf16 encoder parity + PORT_STATUS ( #1339 )
...
Co-authored-by: Mrinaal Dogra <mdogra@ucsd.edu >
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-07-16 18:18:25 -07:00
b063f8ca41
[feat] Fix FLUX.1-dev port: native RoPE, parity tests, SSIM reference ( #1321 )
...
Co-authored-by: Ishan Vaish <ivaish@ucsd.edu >
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-13 01:49:42 -07:00
Shreejith SG and H1yori233
d82abc271e
[feat] Add GLM-Image inference support ( #1030 )
...
Co-authored-by: H1yori233 <k1kong@ucsd.edu >
2026-07-12 22:42:42 -07:00
Guian Fang and SolitaryThinker
970409962f
[feat] Add AnyFlow any-step video distillation (pretrain + on-policy) ( #1371 )
...
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-07-12 02:32:08 +00:00
Mingjia Huo and Claude Fable 5
4c08ffce49
[feat] World model training using third person games ( #1443 )
...
Co-authored-by: Claude Fable 5 <noreply@anthropic.com >
2026-07-10 05:09:07 +00:00
alexzms and SolitaryThinker
c096fda1eb
[docs] Add LTX-2.3 distilled inference run configs (t2v/i2v × 5+2/8+3 × resolutions) ( #1568 )
...
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-07-09 18:53:12 +00:00
02e1143f22
[feat] Add Kandinsky-5 T2V/I2V pipeline support ( #1471 )
...
Co-authored-by: Aryan Kumar <aryan5v@users.noreply.github.com >
Co-authored-by: leffff <levnovitskiy@gmail.com >
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-07-07 14:43:30 -07:00
Kaiqin Kong and SolitaryThinker
f037351146
[feat] Add Clean-history Teacher Forcing and Causal Consistency Distillation ( #1505 )
...
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-07-07 08:13:11 +00:00
595f0ea60e
[feat] Add DreamX-World 5B Cam and AR pipelines ( #1538 )
...
Co-authored-by: Suckl <Suckl@users.noreply.github.com >
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-07-07 06:16:18 +00:00
William Lin
b36d0ef085
[infra] Add DGX Spark and multi-architecture CUDA support ( #1447 )
2026-07-03 13:41:43 -07:00
alexzms
8c23c86994
[docs]: add raw-video preprocess script for the QAD MixKit recipe ( #1487 )
2026-06-28 18:01:13 -07:00
William Lin
78d606a3a7
[feat]: make VSA tile cache configurable for training ( #1444 )
2026-06-28 02:18:31 -07:00
William Lin
6be280c914
[bugfix]: fix docs build ( #1502 )
2026-06-27 13:00:09 -07:00
Loay Rashid and SolitaryThinker
995a5fdf97
[bugfix] fixing denoising time in the fastwan script ( #1480 )
...
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-06-23 10:01:23 -07:00
Shao Duan
4d6ac89b43
[ci] eval: add metric regression + identity-invariant ci tests ( #1451 )
2026-06-23 01:27:34 -07:00
b2ade71467
[Bugfix] QAD 5090: Torch.compile and other optimizations (15/12) ( #1466 )
...
Co-authored-by: alexzms <3036648523@qq.com >
Co-authored-by: Kaiqin Kong <k1kong@ucsd.edu >
Co-authored-by: William Lin <SolitaryThinker@users.noreply.github.com >
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
2026-06-23 01:23:57 -07:00
Kevin Lin
82ed9fe58d
[feat] QAD 5090: FP8 linear layer inference ( #1465 )
2026-06-22 18:25:06 -07:00
e60601df7f
[feat] QAD 5090: QAT training recipe — finetune + DMD distillation (12/12) ( #1462 )
...
Co-authored-by: William Lin <SolitaryThinker@users.noreply.github.com >
Co-authored-by: Loay Rashid <42599591+loaydatrain@users.noreply.github.com >
Co-authored-by: Kaiqin Kong <k1kong@ucsd.edu >
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-06-17 15:18:52 -07:00
c3b971488e
[docs] QAD 5090: Add NVFP4 + Attn-QAT inference example and how-to (9/12) ( #1458 )
...
Co-authored-by: William Lin <SolitaryThinker@users.noreply.github.com >
Co-authored-by: Loay Rashid <42599591+loaydatrain@users.noreply.github.com >
Co-authored-by: Kaiqin Kong <k1kong@ucsd.edu >
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com >
Co-authored-by: alexzms <26690162+alexzms@users.noreply.github.com >
2026-06-16 14:36:50 -07:00
Junda Su and Peiyuan Zhang
5854aec2ce
[feat] Add Wan RL DiffusionNFT training ( #1450 )
...
Co-authored-by: Peiyuan Zhang <a1286225768@gmail.com >
2026-06-11 21:18:59 -07:00
alexzms
2a4fe697a6
[docs] LTX-2.3 distilled i2v: typed-API example (from_config + generate) ( #1448 )
2026-06-10 10:58:14 -07:00
alexzms
921db7479d
[perf] LTX-2.3 distilled i2v: drop max-autotune from compile kwargs ( #1445 )
2026-06-10 10:06:41 -07:00
