gyulaaa

When will this awesome feature be merged^_^

can I consider instructed image-to-text generation as vqa, and the the new in blip2 is zero-shot?

感谢回复！ 这里的LQ我可以理解成模糊或者有噪声的图像，LR理解成像素的width和height比较小的图像吗？

ok, thanks

In the initial implementation of Unet1D from 'https://github.com/lucidrains/denoising-diffusion-pytorch/blob/main/denoising_diffusion_pytorch/denoising_diffusion_pytorch_1d.py', there is no block0 and attncross. is that one of the innovations of this paper?

Thank you very much for your help！

yes, I modified the load_checkpoints and let it to only load the autoencoder's checkpoint. It works. I find there are lot of mismatch betweeen code and path, which makes running...

LIVE progressively generates a svg from the raster image with path setting. I hard to find a trade off from speed and the quality of svg output.