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NVlabs
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
I want to train my own SD model on high resolution under EDM framework. Any experience about how to select the best hyper-parameters on 1024*0124 resolution? Such as sigma_min, sigma_max,...
Hi there, So I have been working on a protein-ligand pocket diffusion model using your designs for the noising/scaling/sampling etc. For the model itself I have been using the Equiformer...
I run the following training command on 8 v100. torchrun --standalone --nproc_per_node=8 train.py --outdir=training-runs \ --data=datasets/cifar10-32x32.zip --cond=0 --arch=ddpmpp This gives me a FID at 2.08169 which is still far from...
Hi are there any available EDM checkpoints for FFHQ images of size 256*256? Many thanks!
1. The paper outlines the hyperparameters sigma_min and sigma_max during deterministic sampling, as well as P_mean, P_std, and sigma_data during training. Could you kindly elaborate on how these hyperparameters are...
Hello! I've read the Training with Limited Data paper (ADA - Adaptive Discriminator Augmentation), which was mentioned in this EDM paper that it helped with performance. In the ADA paper,...
 - This Table 2 indicates ablation study of training components for VP/VE models in terms of performance. - In this table, we can choose several training configuration such as...
Hi! It seems that there is only imagenet-cond checkpoint, but no imagenet-uncond checkpoint. Could you please provide it?
I want to know which checkpoint in the pretrain model is ccorresponding to the model trained by EDMloss in loss.py? In Table 1 in the paper, the EDM loss is...
Hi, There seems to be a bug in the sampler script. https://github.com/NVlabs/edm/blob/b2a26c921c5776cb52f7498248761d60649007a8/generate.py#L88 https://github.com/NVlabs/edm/blob/b2a26c921c5776cb52f7498248761d60649007a8/generate.py#L91 I suppose the beta_D coefficient should be 19.9. Best, Qi
