e4cfa9d1e9
Fork of dgrauet/Hunyuan3D-2.1-mlx + our generate_e2e.py CLI, env-tunable remesh (HY3D_REMESH_FACES), and HARDWARE.md. Upstream training data (mini_trainset) and demo images stripped — inference needs none of it. Full upstream history: github.com/dgrauet/Hunyuan3D-2.1-mlx
16 lines
628 B
Bash
16 lines
628 B
Bash
export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
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export num_gpu_per_node=8
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# export CUDA_VISIBLE_DEVICES=0
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# export num_gpu_per_node=1
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export node_num=1
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export node_rank=0
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export master_ip=0.0.0.0 # set your master_ip
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# export config=configs/hunyuandit-finetuning-flowmatching-dinol518-bf16-lr1e5-4096.yaml
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# export output_dir=output_folder/dit/fintuning_lr1e5
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export config=configs/hunyuandit-mini-overfitting-flowmatching-dinol518-bf16-lr1e4-4096.yaml
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export output_dir=output_folder/dit/overfitting_depth_16_token_4096_lr1e4
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bash scripts/train_deepspeed.sh $node_num $node_rank $num_gpu_per_node $master_ip $config $output_dir
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