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Merges two latent diffusion models at a user-defined ratio

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Hi there. Is it possible to combine models with different subjects/characters/people/objects instead of blending their training into one?

I would like to know if this is possible (and perhaps merge them later with a mixed checkpoint of mine so that way I could lazily select it and do...

I followed the process as i was told and the specified path couldn't be found.

I was running the merge.py file in Google Colab by loading two models from civitai. But it gives an Unpickling error. ``` Traceback (most recent call last): File "mergee.py", line...

What's the difference between this and the stable-diffusion-webui Checkpoint Merger

After merging, what is the instance prompt?

got this message with 768-v-ema.ckpt Stage 1/2: 1% 15/1145 [00:00

I'm kinda a newbie on this, so I need help guiding through the merge process. After the 3 first steps I can do it correctly (Enter the name of first...

merge more at same time