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mihirp1998
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AlignProp
AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion
https://align-prop.github.io/
MIT License
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Finetuning and Config used for HPS
#17
anonymous-atom
opened
2 weeks ago
11
A combination of aesthetics and compressibility
#16
zshuo7616
opened
1 month ago
0
selecting the time step for gradient truncation
#15
daewon88
closed
3 months ago
2
Code for Concept Removal?
#14
ShangfuChen
opened
8 months ago
1
How long dose it take for training the HPS setting?
#13
fiona-lxd
closed
3 months ago
2
DRaFT paper
#12
yinanyz
closed
4 months ago
1
run the aesthetic_scorer.py
#11
xinli2008
closed
1 year ago
1
License
#10
jmetzen
closed
1 year ago
2
Fix readme typo
#9
erjanmx
closed
1 year ago
0
Add safetensors, remove wandb duplicate imports, homedir portability
#8
Xerxemi
closed
1 year ago
1
question about accelerate
#7
Xerxemi
closed
1 year ago
1
noise after certain number of epochs
#6
sachinnitw1317
closed
3 months ago
5
accelerate config
#5
SkylerZheng
closed
3 months ago
6
how to adapt to non square image model training and inference?
#4
SkylerZheng
opened
1 year ago
49
Crashes when saving checkpoints
#3
Metal079
closed
1 year ago
4
Unable to run training or evaluation
#2
Metal079
closed
1 year ago
3
Dataset info and checkpoints
#1
MahdiMohseni0033
closed
3 months ago
2