fix bugs(update README)

This commit is contained in:
wangshuai6
2025-04-14 08:45:57 +08:00
parent 9010659f72
commit 2eec7b6479

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@@ -36,6 +36,35 @@ We use ADM evaluation suite to report FID.
# for installation
pip install -r requirements.txt
```
By default, the `main.py` will use all available GPUs. You can specify the GPU(s) to use with `CUDA_VISIBLE_DEVICES`.
or specify the number of GPUs to use with as :
```yaml
# in configs/repa_improved_ddt_xlen22de6_256.yaml
trainer:
default_root_dir: universal_flow_workdirs
accelerator: auto
strategy: auto
devices: auto
# devices: 0,
# devices: 0,1
num_nodes: 1
```
By default, the `save_image_callbacks` will only save the first 100 images and npz file(to calculate FID with ADM suite). You can change the number of images to save with as :
```yaml
# in configs/repa_improved_ddt_xlen22de6_256.yaml
callbacks:
- class_path: src.callbacks.model_checkpoint.CheckpointHook
init_args:
every_n_train_steps: 10000
save_top_k: -1
save_last: true
- class_path: src.callbacks.save_images.SaveImagesHook
init_args:
save_dir: val
max_save_num: 0
# max_save_num: 100
```
```bash
# for inference
python main.py predict -c configs/repa_improved_ddt_xlen22de6_256.yaml --ckpt_path=XXX.ckpt