Closed itspoidaman closed 1 year ago
I found a way to make things a bit easier, without needing to rename/replace the files Simply prepare two configuration files Change the model_args variables ckpt_clip, ckpt_unet, ckpt_autoencoder
"model_args": {
"ckpt_clip": "zeroscope-v2-576x320-clip.bin",
"ckpt_unet": "zeroscope-v2-576x320-unet.pth",
"ckpt_autoencoder": "kabachucha-autoencoder.pth",
"max_frames": 16,
"tiny_gpu": 1
},
And then create as much batch you need copy zeroscope-v2-576x320.json configuration.json
Is there an existing issue for this?
What would your feature do ?
Zeroscope V2 dropped, a model trained ontop of modelscope, but it comes in two parts. A model that you use for base generation, a model you use for upscaling. There's also the Potat1 model
Requesting a feature that allows you to swap between the different modelscope custom models without having to rename/replace the file that it automatically points too, would also be nice if this feature dumped the currently loaded model from the memory pipeline
Proposed workflow
Additional information
No response