| # Intro |
|
|
| This repo has three parts: |
|
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| 1) **prompt2gloss**: text prompt -> gloss sequence |
| 2) **gloss2pose**: gloss -> pose video (skeleton) |
| 3) **pose2video**: pose video -> rendered signer video (One-to-All 1.3B, with refine) |
|
|
| <video controls width="100%"> |
| <source src="https://huggingface.co/datasets/SignerX/StableSigner/resolve/main/asset/teaser.mp4" type="video/mp4"> |
| </video> |
|
|
| # Quickstart |
|
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| ## 0) Env (one-to-all) |
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| ```bash |
| 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) |
|
|
| ```bash |
| python pipeline01_prompt2gloss.py --prompt "good morning afternoon" |
| ``` |
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| This prints a gloss sequence you can pass to gloss2pose. |
|
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| ## 2) gloss2pose (unchanged) |
|
|
| ```bash |
| 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 |
| ``` |
|
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| This creates a pose video in `generated_pose_video/`. |
|
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| ## 3) pose2video + refine (One-to-All, required) |
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| `pipeline03_pose2video.sh` now runs **two stages**: |
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| - **Stage1**: direct pose2video (inference_1.3b.py) |
| - **Stage2**: refine/replace (infer_refine.sh) using Stage1 output |
|
|
| ```bash |
| ./pipeline03_pose2video.sh |
| ``` |
|
|
| Defaults are inside the script. You can override by env vars: |
|
|
| ```bash |
| 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 |
| ``` |
|
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| # Refine-only (manual) |
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| If you already have a video (or frames dir), run refine directly: |
|
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| ```bash |
| 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. |
|
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| # Outputs |
|
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| - 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` |
|
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| # Notes |
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| - 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. |
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|
