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Batch convert from PNG to JPG with Parallel Processing enabled causes major artifacting in output


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Affinity Photo 1.10.5.1342. Windows 10 Pro 21H2. 32GB RAM, AMD 5900X, Nvidia 2080TI.

When converting PNGs of about 9MB size to JPG 98 quality via the "New Batch Job" feature. Substantial image corruption occurs in outputs.

Deselecting "Parallel processing" fixes the issue but is much slower.

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  • Staff

Hi @Grsphoto welcome to the forums,

This is an issue that is currently logged with the development team for resolution, I've now added your report to the issue.

As a workaround, you could try disabling Hardware Acceleration under Edit > Preferences > Performance > Restart Photo, re-enable Parallel processing and try again and this may prevent this from happening.

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  • 2 weeks later...

For me it's not just PNGs -> JPG but any batch photos. If I do one at a time it's ok but when doing many there are big blocks of corrupted areas.

Affinity Photo 1.10.51342
Processor    AMD Ryzen 9 3950X 16-Core Processor 3.49 GHz
Installed RAM    128 GB
System type    64-bit operating system, x64-based processor  Edition    Windows 10 Pro
Version    21H2
Installed on    ‎2020-‎11-‎21
OS build    19044.2130
Experience    Windows Feature Experience Pack 120.2212.4180.0

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Hi @Qweezer

Try the solution posted by NathanC

AMD Ryzen 7 5700X | INTEL Arc A770 LE 16 GB  | 32 GB DDR4 3200MHz | Windows 11 Pro 23H2 (22631.3296)
AMD A10-9600P | dGPU R7 M340 (2 GB)  | 8 GB DDR4 2133 MHz | Windows 10 Home 22H2 (1945.3803) 

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On 10/26/2022 at 5:43 PM, Qweezer said:

For me it's not just PNGs -> JPG but any batch photos. If I do one at a time it's ok but when doing many there are big blocks of corrupted areas.

Affinity Photo 1.10.51342
Processor    AMD Ryzen 9 3950X 16-Core Processor 3.49 GHz
Installed RAM    128 GB
System type    64-bit operating system, x64-based processor  Edition    Windows 10 Pro
Version    21H2
Installed on    ‎2020-‎11-‎21
OS build    19044.2130
Experience    Windows Feature Experience Pack 120.2212.4180.0

 

On 10/27/2022 at 3:27 AM, Komatös said:

Hi @Qweezer

Try the solution posted by NathanC

Thanks Komatös seems to work.

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