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PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

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Hello, thanks for your interesting work! I have a question about your implementation of PC sampler: ``` def pc_sampler(model): with torch.no_grad(): # Initial sample x = sde.prior_sampling(shape).to(device) timesteps = torch.linspace(sde.T,...

Hi all, Thank you for providing this code, it's very educational :) I am interested in reporting likelihoods but I don't fully understand how bits per dim are calculated. In...

I have a pretrained score based diffusion model trained on 64X64 images. Now I want to calculate the score of a new image(of same dimension) through this pre-trained neural network....

Thank you for your paper and code! I am trying to perform conditional generation using score-based diffusion model. Is it possible to apply FiLM (Feature-wise Linear Modulation) conditioning [Film: Visual...

> --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) Cell In[29], line 1 ----> 1 x, n = sampling_fn(score_model) 2 show_samples(x) File /workspace/pytorchcode/score_sde_pytorch-main/sampling.py:407, in get_pc_sampler..pc_sampler(model) 405 vec_t = torch.ones(shape[0], device=t.device) *...

Hello Authors, For some reason I am unable to create a working python environment using the provided `requirements.txt`. Could you please test the environment requirements you provide? For me the...

I used Python 3.8 and requirement. txt but encountered an import error. I have tried many versions of Python, but they all report different errors. ImportError: cannot import name 'ParamSpec'...

Hi all, I downloaded the op files to the local files(named sdemodels_op_diy), and occurred an error when i import sdemodels_op_diy . I found the crucial reason is that the upfirn2d.py...

Thank your for your work. I use python3.8, pytorch=1.7.1 or 1.7.0. always segment fault.