Alex_M

It is set to 32768 mb. BTW, does Photo really need tens of gigabytes of RAM to process ~15 RAW images weighing 400mb in total? Is this normal?

Affinity Photo 1.9 hangs when I try to batch convert more than 3-4 CR2 files to JPG at a time. The circles just keep spinning forever. RAM usage also jumps through the roof - 16 gigs (I have 64 gigs so this should be fine). Photo processes them fine if I do only 2-3 CR2 images at a time. Unfortunately, I have to batch convert hundreds of CR2 files to JPG and this is going to take lots of time by the looks of it. See screenshot below.

Hi @Chris B, I appreciate your updates. Do you have new info on this or are you still unable to replicate the bug? I'm really eager to use hardware acceleration but this is a showstopper bug for me. Let me know if you need anything else from me that could help with tracking this down.

I tried a dozen times. It doesn't go any higher than the score I posted.

This dreaded problem, that I've reported in the past, has again made its way back into Affinity Photo 1.9 after being absent for the past year or two. Every now and again Affinity Photo 1.9 won't let me save my documents, thus losing work and redoing everything from scratch. Please check the screenshots below. These are only a couple of instances among several that this have occurred to me since I installed 1.9 a few days ago.

AMD Threadripper 3970X 32-core 3.70/4.50 GhzMSI RTX 3090 Suprim X 24GB + Nvidia studio driver 461.4064GB RAM @ 3800mhz CL14 Windows 10 Pro, Version 2004 Any idea why my GPU results are 10% slower than RTX 3080?

Hi, There's a bug that's been plaguing Affinity Photo for almost a couple couple of years now. I just found that it's still present in the newest version 1.9. Every time I rasterize a pixel layer, it gets blurred if there are Unsharp Mask or blur live filters in the layer stack. Here's my older thread about it.

Hi, Any progress on this issue? The bug is still present in the newest version 1.9. It's been present in Affinity Photo for almost 2 years now.

Thanks. File sent!

Hi @Chris B , Thanks for logging this with the developers. I'm not able to share the .aphoto publicly. Can I send it to you privately?

Flattening a document containing specific live filters causes artifacts when Hardware Acceleration (OpenCL compute) is turned on. The offending live filters are: Vignette, Twirl, Add Noise and Lighting. If I disable Hardware Acceleration, the problem goes away. Please see the screenshot below. I'm using the official release version of Affinity Photo 1.9.0.932. Check my signature for hardware configuration.

Thanks for the suggestion, but this is not really a solution because I want the photos to remain in their original folders. Thanks, I've got to try this out. Still not ideal though IMHO. It needs a proper drag and drop.

Any progress on this? This looks to be a highly requested feature. I do batch jobs quite frequently and it's excruciatingly slow to navigate every single folder by hand in order to collect the images. Right now I'm doing a batch job that requires sourcing 2088 images in 513 folders. This will take me at least an hour when it could be just a simple Windows search and then drag and drop the images in the program. 1 hour vs 1 minute! It's been 2 years or longer since this has been requested by myself and others and still nothing on this front. I can't image it to be THAT hard to implement, is it?

There's still this bug that blurs Image layers when I rasterize them. This happens only if I have an Unsharp Mask layer in the layers panel. Please check the attached screenshots. Notice how the Image layer's dimensions and coordinates change when I rasterize it. This doesn't happen if I delete the Unsharp Mask layer before rasterizing. I'm using Photo version 1.8.4.693.

I've just updated to Affinity Photo 1.8.4 and noticed that the brush crosshair is not centered in the middle of the circle. I could be wrong, but I don't remember this being the case before I updated. It's most noticeable when the brush size is smaller. Please see attached a photo that I snapped with my phone. You can even count the pixel