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crowsonkb
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k-diffusion
Karras et al. (2022) diffusion models for PyTorch
MIT License
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ModuleNotFoundError: No module named 'torch_directml'
#54
JoeVX
closed
1 year ago
0
Implement k-diffusion with guided-diffusion for image gen with unequal sizes
#53
luisarandas
opened
1 year ago
0
Both the FID scores and visualization are pretty bad in FFHQ dataset
#52
IrohCao-NYU
opened
1 year ago
1
FID scores from paper
#51
darius-lam
opened
1 year ago
4
Learning rate scheduler broken
#50
kyleliang919
closed
1 year ago
2
Sample many files more efficiently
#49
hotohoto
opened
1 year ago
1
Add an example on how to use k-diffusion with `diffusers`
#47
patrickvonplaten
closed
1 year ago
2
Noise samplers
#46
crowsonkb
closed
1 year ago
0
(Missing) Loss weights for the Diffusion Loss?
#45
mbreuss
closed
1 year ago
0
Reproducibility work on the sampling code
#44
ardacihaner
closed
1 year ago
2
Stabilize the sampling of DPM-Solver++2M by a stabilizing trick
#43
LuChengTHU
opened
1 year ago
22
Codestyle improvements: add typehints (PEP 484) and format code to meet PEP 8 recommendation
#42
jorektheglitch
opened
1 year ago
0
Simple evaluation script
#41
pcuenca
opened
1 year ago
0
Add the newest DPM-Solver
#40
LuChengTHU
closed
1 year ago
6
Do not merge! Credits for DEIS
#39
qsh-zh
opened
1 year ago
0
remove `clean-fid`
#38
space-pope
closed
1 year ago
2
sample sigma scheduler bug
#37
lockmatrix
opened
1 year ago
2
Question: Is it possible to predict step count of DPM adaptive?
#36
C43H66N12O12S2
closed
1 year ago
1
added support for non square Images
#35
p-sodmann
opened
1 year ago
0
DPM2 ancestral produce odd nosiy/sharpened output during final iteration when using with Stable Difussion
#34
Hakkin
closed
1 year ago
0
main -> master in gh action
#33
rom1504
closed
1 year ago
0
Add github action to automatically push to pypi on Release x.y.z commit
#32
rom1504
closed
1 year ago
1
Is it possible to add any arbitrary loss terms into k-diffusion, e.g. to use lpips, edge stabilization, etc.
#31
oxysoft
closed
1 year ago
2
Karras samplers: refrain from advancing random generator, allocating unused tensor when gamma==0
#30
Birch-san
closed
1 year ago
1
[Feature request] Combination of Inpainting and ImgToImg Generation for finetunig
#29
Serasul1984
opened
1 year ago
0
Constant starting noise for demo() images
#28
bob80333
opened
1 year ago
0
Req: TQDM trange() update frequency / miniters option
#27
torridgristle
opened
1 year ago
0
Allow installing via pip install -e <repo link> - Adds a setup.py
#26
cmdr2
closed
1 year ago
4
[Feature request] Let user provide his own randn data for samplers in sampling.py
#25
AUTOMATIC1111
closed
1 year ago
18
[stale]
#24
ozanciga
opened
1 year ago
0
Implement time step discretization for Karras samplers
#23
Birch-san
opened
1 year ago
16
'Refactored by Sourcery' (#1)
#22
AdamOswald
closed
1 year ago
0
Loading kdiffy.py results in this error
#21
TheArtOfTheVoid
opened
1 year ago
0
How CLIP guided sampling works
#20
htzheng
opened
1 year ago
1
Cache FID computation
#19
neverix
opened
1 year ago
0
Manual random seed
#18
neverix
closed
1 year ago
1
Image inpainting
#17
neverix
opened
1 year ago
0
Fine-tuning/compatible pre-trained models
#16
kjhenner
opened
1 year ago
2
Example how to use the VDenoiser/OpenAIDenoiser/CompVisDenoiser wrappers?
#15
Quasimondo
opened
2 years ago
5
Example for how to use the grow option?
#14
Quasimondo
opened
2 years ago
14
CUBLAS_STATUS_ALLOC_FAILED error
#13
kjhenner
opened
2 years ago
1
add gradient accumulation support
#12
tmabraham
closed
2 years ago
1
HuggingFace Datasets support with new config
#11
tmabraham
closed
2 years ago
1
About the data normalization and 'sigma_data'.
#10
jwliu-cc
closed
2 years ago
2
Config for training other resolutions
#9
eliahuhorwitz
closed
2 years ago
4
Use more standard fid/kid calculation
#8
samedii
closed
2 years ago
18
Standard FID
#7
samedii
closed
2 years ago
9
Question of sampler
#6
UdonDa
closed
2 years ago
5
HuggingFace Datasets support
#5
tmabraham
closed
2 years ago
3
How to perform a forward process from x_0 to x_t
#4
UdonDa
closed
2 years ago
3
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