ai-art-generator
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For automating the creation of large batches of AI-generated artwork locally.
I am attempting to run this on Anaconda Powershell, so maybe this is my first mistake, but everything was installing and running smoothly up until putting in the curl prompts...
RuntimeError: CUDA out of memory. Tried to allocate 72.00 MiB (GPU 0; 4.00 GiB total capacity; 3.35 GiB already allocated; 0 bytes free; 3.41 GiB reserved in total by PyTorch)...
Working with z of shape (1, 256, 16, 16) = 65536 dimensions. loaded pretrained LPIPS loss from taming/modules/autoencoder/lpips\vgg.pth VQLPIPSWithDiscriminator running with hinge loss. Restored from checkpoints/vqgan_imagenet_f16_16384.ckpt Using device: cuda:0 Optimising...
how does training work? I know it uses checkpoints as trained data but is there a way I can train it manually for my art and specific images?
Is there any way to upscale a generated image? Would that be done by diffusion? but if so the problem then is my Diffusion is missing cv2 Module. Everything was...
GPU defaults to cuda zero Some more work will need to be done Adds #!CUDA_DEVICE to prompt file to set gpu
Hi there, after messing around with the code on this repo I noticed that some of my images were getting deformed corners/borders, mostly the top-right and bottom-left corners but in...
i followed all the steps up to the test, and when i try 'python vqgan.py -s 128 128 -i 200 -p "a red apple" -o output/output.png' it says that there...
Or forked Version. [DALL-E 2](https://github.com/lucidrains/DALLE2-pytorch)