Cesar Delgado

@swankwc I haven't gotten to training yet. ATM his patch is just for`stable_txt2img.py` which took `1484.16s user 6134.54s system 24% cpu 8:30:55.51 total`. I'm having problems getting `main.py` to run....

@Sorrow do you have your work somewhere? You seem to have gotten further than me. Maybe we can collaborate. Here's my WIP, it's very rough ATM https://github.com/beettlle/Dreambooth-Stable-Diffusion/tree/m1-training-fix

Renamed PR explain scope of work better.

That's awesome @SujeethJinesh ! Let me reset my env and I'll try it tomorrow.

@SujeethJinesh I'm still getting the following error with your branch. Any ideas? ``` % python main.py --base configs/stable-diffusion/v1-finetune_unfrozen.yaml -t --actual_resume ~/Downloads/sd-v1-4-full-ema.ckpt -n ramona --gpus 0, --data_root ~/Downloads/ramona --reg_data_root outputs/txt2img-samples --class_word...

@stevespringett I don't think this is working properly even on 2.7.4. To @ndimiduk 's point, this is from my HBase build. ``` [WARNING] ***************************************************************** [WARNING] * Your build is requesting...

Update: my build was broken. After fixing it the HBase build finished without having to skip CycloneDX but the above warning messages still appear.

@alberto-salinas would you mind trying the following from ['s site](https://developer.apple.com/metal/pytorch/) in your environment to see if MPS is supported? ``` import torch if torch.backends.mps.is_available(): mps_device = torch.device("mps") x = torch.ones(1,...