update README

README.md

@@ -17,41 +17,25 @@ pipeline_tag: image-to-video
 Pretrained checkpoints for **Static2Dynamic**, a method for reconstructing videos of unobservable cellular, developmental, and disease processes from static, unpaired snapshots.
 
 - [Code repository](https://github.com/biocompibens/static2dynamic)
-- [Paper/preprint](https://www.biorxiv.org/content/10.64898/2026.05.18.725860)
+- [Preprint](https://www.biorxiv.org/content/10.64898/2026.05.18.725860)
 
 ## Checkpoints
 
 Each checkpoint subfolder contains:
 
-- `net/`: diffusion/image generative model config and weights
-- `video_time_encoder/`: time/video conditioning encoder config and weights
+- `net/`: diffusion model config and weights
+- `video_time_encoder/`: time conditioning encoder config and weights
 - `dynamic/`: scheduler configuration
-- `my_conf/`: run configuration needed to instantiate/evaluate the model
-- `train_samples.parquet`: training split metadata, when available
-- `test_samples.parquet`: test split metadata, when available
-- `training_state_info.json`: checkpoint/training metadata, when available
-
-| Checkpoint | Files |
-|---|---|
-| [`chromalive`](./chromalive) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `train_samples.parquet`, `test_samples.parquet`, `training_state_info.json` |
-| [`docetaxel_skip_half_doses`](./docetaxel_skip_half_doses) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `train_samples.parquet`, `test_samples.parquet`, `training_state_info.json` |
-| [`docetaxel`](./docetaxel) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `training_state_info.json` |
-| [`nocodazole`](./nocodazole) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `test_samples.parquet`, `training_state_info.json` |
-| [`cell_cycle`](./cell_cycle) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `train_samples.parquet`, `test_samples.parquet`, `training_state_info.json` |
-| [`biotine`](./biotine) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `training_state_info.json` |
-| [`biotine_unpaired`](./biotine_unpaired) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `train_samples.parquet`, `test_samples.parquet`, `training_state_info.json` |
-| [`ependymal`](./ependymal) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `train_samples.parquet`, `test_samples.parquet`, `training_state_info.json` |
-| [`NASH_steato`](./NASH_steato) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `training_state_info.json` |
-| [`diabetic_retinopathy`](./diabetic_retinopathy) | `net/`, `video_time_encoder/`, `dynamic/`, `my_conf/`, `train_samples.parquet`, `test_samples.parquet`, `training_state_info.json` |
-
-## Python download example
+- `my_conf/`: run configuration
+- `train_samples.parquet`: training split samples
+- `test_samples.parquet`: test split samples
+- `pseudotime_predictions/`: pseudotime predictions 
 
-Download one checkpoint folder:
 
-```python
-from huggingface_hub import snapshot_download
+## Download example
+
+Download one checkpoint folder:
 
-path = snapshot_download(
-    repo_id="thethomasboyer/Static2Dynamic",
-    allow_patterns=["chromalive/*"],
-)
+```sh
+hf download thethomasboyer/Static2Dynamic --include 'NASH_steato/*' --local-dir ./Static2Dynamic_models
+```