- Precision matching across the Lance transformer and pipeline so vLLM-Omni
outputs match the upstream reference end-to-end (text2img / img2img /
text2video / video2video / image and video understanding).
- Add recipes/ByteDance/Lance.md covering all single-stage modalities for
offline + online; register it in recipes/README.md.
- Offline README: document --height/--width and update the default
resolution to 1024x1024 (matches the upstream inference_lance.sh).
- Gitignore lance_compare/ (local precision-matching dump scripts; not part
of the repo).
- Remove LANCE_PR.md; the PR description lives on GitHub.
Signed-off-by: lishunyang12 <lishunyang12@163.com>
Adds Lance (bytedance-research/Lance), a 3B unified AR+diffusion
multimodal model on a Qwen2.5-VL backbone. Lance is BAGEL-lineage:
it reuses vLLM-Omni's BAGEL Mixture-of-Transformers core verbatim and
specializes only the ViT (Qwen2.5-VL vision), the VAE (Wan2.2) and the
checkpoint layout.
All six single-stage Lance modalities verified end-to-end on 1x B300:
t2i, t2v, image_edit, video_edit, x2t_image (image understanding) and
x2t_video (video understanding). 3-D mRoPE is wired through
BagelRotaryEmbedding for the x2t / video / edit paths. Includes the
upstream gap-analysis quality fixes (task-specific system prompts, full
Qwen chat template, upstream inference defaults and aspect-ratio
buckets).
Ships an offline example (examples/offline_inference/lance/), an
OpenAI-compatible online-serving example
(examples/online_serving/lance/) and an e2e test
(tests/e2e/online_serving/test_lance.py).
See LANCE_PR.md for the architecture rationale, per-modality status and
the two remaining follow-ups (two-stage AR+DiT, video_edit polish).
Closes#3697.
Signed-off-by: lishunyang <lishunyang03@gmail.com>
lishunyang12