Intro

This repo has three parts:

prompt2gloss: text prompt -> gloss sequence
gloss2pose: gloss -> pose video (skeleton)
pose2video: pose video -> rendered signer video (One-to-All 1.3B, with refine)

Quickstart

0) Env (one-to-all)

cd /research/cbim/vast/sf895/code/SignerX-inference-webui/plugins/StableSigner
conda env create -f env/one-to-all.yml
conda activate one-to-all

1) prompt2gloss (optional)

python pipeline01_prompt2gloss.py --prompt "good morning afternoon"

This prints a gloss sequence you can pass to gloss2pose.

2) gloss2pose (unchanged)

python pipeline02_gloss2pose.py --gloss "good morning afternoon" --scale-y 1.4 --scale-x 1.3 --npz-interpolation 20 --width 512 --height 768 --fps 25 --hide-torso-lines true --ref-image-path ref_img_dict/01.jpeg

or

python gloss2pose.py --gloss "where is my cat" --scale-y 1.5 --scale-x 1.5 --npz-interpolation 20 --width 512 --height 512 --fps 25 --hide-torso-lines false --draw-style openpose

This creates a pose video in generated_pose_video/.

3) pose2video + refine (One-to-All, required)

pipeline03_pose2video.sh now runs two stages:

Stage1: direct pose2video (inference_1.3b.py)
Stage2: refine/replace (infer_refine.sh) using Stage1 output

./pipeline03_pose2video.sh

Defaults are inside the script. You can override by env vars:

POSE_VIDEO=generated_pose_video/HELLO_GOOD_MORNING_20251215_142658_openpose_style.mp4 \
REF_IMAGE=ref_img_dict/man.jpg \
GPU_ID=1 \
REF_CFG=2.5 \
POSE_CFG=1.5 \
./pipeline03_pose2video.sh

Refine-only (manual)

If you already have a video (or frames dir), run refine directly:

cd One-to-All-Animation/video-generation
./infer_refine.sh --input /path/to/video_or_frames_dir --ref /path/to/ref.jpg --gpu 1

If --input is a frames directory, it will auto-merge to a temp video (default fps=25).
If --input is a video file, it uses the source FPS.

Outputs

Pose video: generated_pose_video/*.mp4
Stage1 output: generated_sign_video/YYYY-MM-DD_ref_<ref_cfg>_pose_<pose_cfg>/...mp4
Refine output: generated_sign_video_refine/...mp4

Notes

The One-to-All pipeline uses the one-to-all conda env.
If you change REF_CFG/POSE_CFG, keep the same values in both stages.