Readme
This is an implementation of Ultimate SD Upscale with ControlNet Tile using deliberate_v2 as the base SD 1.5 Model. Yes, there are a lot of settings. No, you probably don’t need to touch most of them!
fewjative
/
ultimate-sd-upscale
Ultimate SD Upscale with ControlNet Tile
- Public
- 139.4K runs
- GitHub
Input
Output
Examples
Run time and cost
This model costs approximately $0.0030 to run on Replicate, or 333 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 3 seconds.