StableDiffusion-PyTorch
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This repo implements a Stable Diffusion model in PyTorch with all the essential components.
I am working on a use case where I want to generate larger resolution images something like 1024x1024. How do I modify the configuration to do that?
Hello there, I am trying to run conditional text part and have followed all the instructions but at the end I am facing following error. Screenshot attached below. It says...
Hi, Thank you for your code. I am training a ldm model with the config file I have attached. I have training with multiple dataset and settings. Always the training...
Hello! I was wondering if you have any intuition on how many training samples are required to get good results/how much memory is required to train the unconditional VQVAE? I...
i trained the unconditional ldm for 200 epochs, and the result was not satisfactory, although the auto encoder gave a better result.
Hey thanks for the videos and codes, I am experimenting with conditional ldms. Do you happen to have loss plots or logs of the loss? I have a feeling that...
I would like to condition the model using multiple features. In my case, I have lot of columns say `A`, `B`, `C` and `D` and some of the columns are...
Hello. Did all as described in manual. Python 3.8 pip install -r requirements.txt all fine Loadaded vgg.pth Prepared mnist dataset. But while training VQVAE got this error (.conda) (base) root@gpu:~/code/StableDiffusion-PyTorch#...
Thank for your code. I want to train this model with my dataset, and could i use this model for my image, I have a dataset with pairs of original...
I see that model not very good at text conditioned generation. How to improve this situation? Maybe train CLIP model itself, or just train ldm for longer?
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This repo implements a Stable Diffusion model in PyTorch with all the essential components.