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Hi, I notice that you utilize builtin DDIM scheduler in inference, however, the discretization of it is different with that used in training stage.
Specifically, the endpoints that split time inter…
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When im trying to use Videocrafter 2 - i get this error :
F:\Pinokio\api\videocrafter2.git\app\env\lib\site-packages\torch\nn\functional.py:5560: UserWarning: 1Torch was not compiled with flash att…
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Hello @xuekt98
Thanks for sharing the source code for your amazing work!
I have a quick question regarding the DDIM part.
In Section 3.2 in the paper, you have mentioned that DDIM could be sup…
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Hi,
Thank you for the great videos on diffusion models.
Have you tried sampling using DDIM with one of your trained models? If so, were the results good and as expected?
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Traceback (most recent call last):
File "D:\Umer\updated_code\Crimsniffer\difffacesketch2023-master\test_sketchdiff_ddim.py", line 159, in
main()
File "D:\Umer\updated_code\Crimsniffer\dif…
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https://github.com/williamyang1991/Rerender_A_Video/blob/dfaf9d8825f226a2f0a0b731ab2adc84a3f2ebd2/src/ddim_v_hacked.py#L300
When the x0_strength is small, it will be a long waste of time to reach
ht…
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inference.py 19
from models.samplers.ddim import DDIMSampler
ddim.py 7
from mira.models.utils_diffusion import make_ddim_sampling_parameters, make_ddim_timesteps
ModuleNotFoundError:
No mod…
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I observe the guidance in the code:
```python
# predict noise using model
pred_noise_c = model(x_t, t, c, torch.ones(batch_size).int().to(device))
pred_noise_none = model(x_t, t, c, torch.zeros(ba…
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在阅读您A Probabilistic Fluctuation based Membership Inference Attack文章和代码的时候有几点不明确的地方:
1)文中的eq(12)是什么意思,我看您用monte carlo来解释,但是在代码里无论是ddpm_loss还是ddim_loss都没有关于monte carlo的部分;
2)为什么在代码实现了,ddpm_loss直接使用dif…