Winnie Yeung
Winnie Yeung
> @borys25ol one possible way is by subclassing the middleware and statically configuring it. Not the prettiest solution but is should be straight forward to implement. > > ```python >...
@ErenBalatkan can you share your script again? Would be super helpful for my project. Appreciate it!
> Try changing the indices to be on the CPU. This solved the issue for me. > > logvar_t = self.logvar[t.cpu()].to(self.device) This works for me magically
Would like to collab on this @joshdance @damian0815
`python3 ./main.py --base ./configs/stable-diffusion/v1-m1-finetune.yaml -t --actual_resume ./models/ldm/stable-diffusion-v1/model.ckpt --data_root your_folder -n a_m --gpus 0, --no_test --root="/Users/vionwinnie/invokeai/models"` This is how I call the textual inversion training This is the error message that...
I would like to use the Invoke AI model as a serving for API calls - so this feature would be super helpful to interact with the backend.
This is very helpful! Thank you
wondering the same thing. Greatly appreciated