-
Right now we downscale any larger image to 1200x1200. We may want to support higher, especially as phones are now faster. On initial testing, all the algorithms seem fine with 4000x4000 on 2020 SEs, a…
-
is there any way to use a checkpoint from that model to generate images with arbitrary resolutions,
-
Similar to SAM 1, SAM 2 was trained on 1024x1024 images. I'm wondering whether it's possible to adapt SAM 2 to 512x512 images without resizing those images (since that takes a lot of time). This was p…
-
Hi @giniedp ,
It was a great lightweight plugin you created. It's got a lot of API options in here.
Thanks for this great plugin.
So when I was trying to use large 2000px (1:1 rato) images in a re…
-
Hi,
In your readme, it's said that:
"**the resolution of input images must be divisible by 64**"
My original images have 3840*2160 resolution but colmap creates an `images` folder with size 2…
-
A Naive question: how to decode image latents with different resolutions? Since the decode is only trained with specific latent resolutions. Did you split the image with larger resolution with many 51…
-
It works good with 512*512 images but when I use bigger images it fails can you please help?
Error:
> CUDA out of memory. Tried to allocate 31.63 GiB. GPU 0 has a total capacity of 22.19 GiB of …
-
I can provide images of various resolutions to the browser, but my monitor resolution is fixed (1920 * 1080),
I have observed that even if the resolution of my photos is high or low, they can always …
-
I used A100 on the server to train the original resolution image (almost 5600*3600), with all parameters unchanged and 30,000 iterations. The result is blurrier than the image training that is automat…
-
Hello,
I was wondering on how to keep the resolution of the retargeted image paste-back result same the source image. For example: my source image is 3000x3000 in .png format, and the paste-back re…