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Add+config .gitignore (bring back git stage) and fix up documentation.

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Maw-Fox 2022-11-12 18:48:16 -07:00
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commit 95b9407a3e
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.gitignore vendored Normal file
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aesthetic/**
*_cropped/
*_cropped/**
**/nsfw-ids.txt
**/*.image
**/*.caption
**/dataset*.tar
*/**/*.json
**/*.png
**/*.jpg

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trainer/diffusers_trainer.py
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# `nvcc --version` to get CUDA version. # `nvcc --version` to get CUDA version.
# `pip install -i https://test.pypi.org/simple/ bitsandbytes-cudaXXX` to install for current CUDA. # `pip install -i https://test.pypi.org/simple/ bitsandbytes-cudaXXX` to install for current CUDA.
# Example Usage: # Example Usage:
# Single GPU: torchrun --nproc_per_node=1 trainer_dist.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=10 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True # Single GPU: torchrun --nproc_per_node=1 trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam --gradient_checkpointing --batch_size=1 --fp16 --image_log_steps=250 --epochs=20 --resolution=768 --use_ema
# Multiple GPUs: torchrun --nproc_per_node=N trainer_dist.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=10 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True # Multiple GPUs: torchrun --nproc_per_node=N trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam --gradient_checkpointing --batch_size=10 --fp16 --image_log_steps=250 --epochs=20 --resolution=768 --use_ema
import argparse import argparse
import socket import socket