Yulin

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The flash-attn I installed is version 1.0.2, no problem. ![image](https://user-images.githubusercontent.com/114655828/235580949-35c5b450-1e61-42e0-b35d-fc98735c3a21.png)

@1999kevin Can you tell me how to use a gpu to generate images using a pretrained model without the communication protocol nccl. Thank you

@1999kevin but in image_samping.py ,I don't find mpiexec.thanks

Can I have a look at the code after your changes, thanks, I would appreciate it if you could send it over

> > Btw, I found training with only 4 batchsize and 64 image size costs about 18G memory per GPU. Is there something wrong with it? > > I also...

@thorinf I know it but it need nccl,even it doesn't have mpiexec.Thank you.

mpiexec -n 8 python cm_train.py --training_mode consistency_distillation --sigma_max 80 --sigma_min 0.002 --target_ema_mode fixed --start_ema 0.95 --scale_mode fixed --start_scales 40 --total_training_steps 600000 --loss_norm lpips --lr_anneal_steps 0 --teacher_model_path /path/to/edm_bedroom256_ema.pt --attention_resolutions 32,16,8 --class_cond...

@thorinf I changed it but also need nccl ![image](https://user-images.githubusercontent.com/114655828/233660389-04d733aa-fc92-4884-8fd1-ffd4a54eb9b9.png) ![image](https://user-images.githubusercontent.com/114655828/233660462-f4ff82bd-f79c-4af9-bb66-749cc75377a3.png) ![image](https://user-images.githubusercontent.com/114655828/233660553-f2fa3923-ef42-49fa-9a72-a15b0c9e18c3.png)