NanoBatch Pro
Batch Image re-creator, 8K+ resolution
Work in progress.
Features include:
- Parallel image processing
- 50 image batch processing
- 1K, 2K, 4K+ and 8K+ output resolution
- Automatic grouping and renaming into sets
- Aspect ratio changer (4:5 to 21:9, for example)
- Uses two AI image-to-image models: Nano Banana Pro or Seedream 4.5, both capable of producing native 4K images
- Can create the images live or the image jobs can be sent to a batch API which cuts costs but images won't be generated live
Voryth Labs is based in EU
NanoBatch Pro is NOT an upscaler or enlarger. NanoBatch Pro uses AI to re-create images and AI makes mistakes and the result image is not always 100% copy of the original image. AI can add minor features or remove them, change coloring or minor details but more or less the result respects the original image. This tool is not suitable for work that requires 100% accuracy.
UltraRender 4K Pro
UltraRender Pro is a cloud computing based 4K audio-visual slideshow maker. Creating hours long slideshows that also feature audio was a nightmare to render with my home computer. With this app and its fine-tuned engine I can now logon to a virtual machine in Google Cloud and finish the same job that took me almost four hours in just 7-8 minutes. Result is a real 4K resolution slideshow with hi-fi sound.
I needed to build this app because rendering long form videos (1-3 hours) for Youtube took my computer to the limit with the Microsoft Clipchamp. I have a Lenovo Mini-PC that don't have a real GPU but everything else works nicely and fast but the rendering as it is a task for a GPU(that I don't have)
In the videos I use real 4K images so that already builds a big problem and I use high quality audio. In the past I used Microsoft Clipchamp because it is easy to use, simple as that. But for longer videos the rendering times are bad. Also it uses H.264 and 30fps setting, which is not needed for a slideshow. This app uses the minimum that Youtube supports, the 10fps option. That means fewer frames to render and less time used.
UltraRender 4K Pro vs. Microsoft Clipchamp
Test Configuration: Utilized the same source material (47 4K images, 3-hour hi-fi audio(wav))
Output target: 4K video with hi-fi sound
Quality expectations: Aligned
Performance Breakdown:
MS Clipchamp (Home PC with Intel Core i5 13500H - No real GPU): Encoding Method: CPU-based H.264 codec
Time: ~240 minutes
File Size: ~28 GB (H.264 at higher bitrate)
Throughput: ~7.9 fps effective
UltraRender 4K Pro (Nvidia L4 Virtual Machine in Google Cloud): Encoding Method: NVENC hardware (parallel)
Time: ~7.5 minutes
File Size: ~11.3 GB (HEVC (H.265 codec) at 8 Mbps)
Throughput: ~252.4 fps effective (32× speedup)
Features include:
Parallel processing which uses 100% of the GPU video engine
Framerate selector (10, 15, 20, 24 or 30)
Codec selector H.265 or H.264
Quality selector: p1(fastest, larger file) to p7(slowest, smallest file)