fix bugs(update README)
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29
README.md
29
README.md
@@ -36,6 +36,35 @@ We use ADM evaluation suite to report FID.
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# for installation
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# for installation
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pip install -r requirements.txt
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pip install -r requirements.txt
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```
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```
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By default, the `main.py` will use all available GPUs. You can specify the GPU(s) to use with `CUDA_VISIBLE_DEVICES`.
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or specify the number of GPUs to use with as :
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```yaml
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# in configs/repa_improved_ddt_xlen22de6_256.yaml
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trainer:
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default_root_dir: universal_flow_workdirs
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accelerator: auto
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strategy: auto
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devices: auto
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# devices: 0,
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# devices: 0,1
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num_nodes: 1
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```
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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 :
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```yaml
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# in configs/repa_improved_ddt_xlen22de6_256.yaml
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callbacks:
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- class_path: src.callbacks.model_checkpoint.CheckpointHook
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init_args:
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every_n_train_steps: 10000
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save_top_k: -1
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save_last: true
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- class_path: src.callbacks.save_images.SaveImagesHook
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init_args:
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save_dir: val
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max_save_num: 0
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# max_save_num: 100
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```
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```bash
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```bash
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# for inference
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# for inference
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python main.py predict -c configs/repa_improved_ddt_xlen22de6_256.yaml --ckpt_path=XXX.ckpt
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python main.py predict -c configs/repa_improved_ddt_xlen22de6_256.yaml --ckpt_path=XXX.ckpt
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