2022-07-07 00:52:16 +02:00
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#!/bin/bash
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export NODE_RANK=${SLURM_NODEID}
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echo "##########################################"
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echo MASTER_ADDR=${MASTER_ADDR}
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echo MASTER_PORT=${MASTER_PORT}
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echo NODE_RANK=${NODE_RANK}
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echo WORLD_SIZE=${WORLD_SIZE}
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echo "##########################################"
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# debug environment worked great so we stick with it
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# no magic there, just a miniconda python=3.9, pytorch=1.12, cudatoolkit=11.3
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# env with pip dependencies from stable diffusion's requirements.txt
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eval "$(/fsx/stable-diffusion/debug/miniconda3/bin/conda shell.bash hook)"
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conda activate stable
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cd /fsx/stable-diffusion/stable-diffusion
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CONFIG=configs/stable-diffusion/txt2img-1p4B-multinode-clip-encoder-high-res-512.yaml
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2022-07-10 00:08:16 +02:00
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# initial parameters
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#EXTRA="model.params.ckpt_path=/fsx/stable-diffusion/stable-diffusion/checkpoints/256f8ft512-2022-06-15-pruned.ckpt"
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# resumed after crash
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#EXTRA="model.params.ckpt_path=/fsx/stable-diffusion/stable-diffusion/logs/2022-07-06T23-43-51_txt2img-1p4B-multinode-clip-encoder-high-res-512/checkpoints/last.ckpt"
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# continue on improved aesthetics
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EXTRA="model.params.ckpt_path=/fsx/stable-diffusion/stable-diffusion/logs/2022-07-07T16-15-18_txt2img-1p4B-multinode-clip-encoder-high-res-512/checkpoints/last.ckpt data.params.tar_base=__improvedaesthetic__ -f _improvedaesthetic"
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2022-07-07 00:52:16 +02:00
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DEBUG="-d True lightning.callbacks.image_logger.params.batch_frequency=5"
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python main.py --base $CONFIG --gpus 0,1,2,3,4,5,6,7 -t --num_nodes ${WORLD_SIZE} --scale_lr False $EXTRA #$DEBUG
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