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kvablack
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ddpo-pytorch
DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support
MIT License
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training-code
#25
ParnyanAtaei
opened
2 weeks ago
0
OOM when using "stabilityai/stable-diffusion-2-1" with batch size of 2
#24
xilongzhou
opened
4 months ago
1
Questions about the reward curve and bert.
#23
zjuAIHz
opened
5 months ago
1
Finetuning on google colab
#22
alirezanobakht13
opened
5 months ago
0
Closes #20 Reward Batch Size
#21
mao-code
opened
5 months ago
0
Batch size unrecogonized
#20
mao-code
opened
5 months ago
1
Code logics, thanks
#19
junyongyou
opened
6 months ago
0
unet keeps producing nan during training
#18
EYcab
opened
7 months ago
2
SDXL Support?
#17
rdcoder33
opened
11 months ago
1
Update README.md to include a note about the `trl` integration
#16
sayakpaul
closed
11 months ago
0
prompt-dependent value function optimization
#15
hkunzhe
opened
11 months ago
0
Support for other schedulers
#14
desaixie
closed
11 months ago
1
Hello, when I trained an aesthetic model using the default configuration on 8 A800 cards, I found that the training process got stuck after completing one epoch, but it worked fine when using a single A800 card. May I ask what could be the cause of this situation?
#13
cjt222
closed
11 months ago
8
Question about the optimized objective.
#12
JacobYuan7
closed
12 months ago
1
About the training with prompt_image_alignment configuration which uses llava_bertscore reward function
#11
QZJ-2003
closed
11 months ago
5
Suggest to use larger gradient accumulation steps instead of multi GPUs
#10
hkunzhe
closed
1 year ago
3
Only log rewards from process 0
#9
desaixie
closed
1 year ago
1
fp16 only if using lora?
#8
GiilDe
closed
1 year ago
2
About the large dataset and Unet Training
#7
liuyuemaicha
closed
11 months ago
3
Prompt Alignment with LLaVA-server: Client-side prompt and image doesn't match server side reward
#6
desaixie
closed
1 year ago
4
On reproducing LLaVA alignment experiments.
#5
bhattg
closed
1 year ago
2
OOM despite using A100-80GB GPU and 128GB CPU memory (+16 CPUs per task)
#4
noshaba
closed
1 year ago
2
reproducing the aesthetic experiment
#3
seashell123
closed
1 year ago
7
On reproducibility and LoRA
#2
bhattg
closed
1 year ago
1
Gif visualization
#1
SnowdenLee
closed
1 year ago
1