sd-parseq VS fast-stable-diffusion

This is how it was done https://github.com/rewbs/sd-parseq/discussions/106

rewbs/sd-parseq (github.com)

sd-parseq for parameter control / keyframing.

I need to modify Parseq to add a way for you to be able to specify absolute values and then render deltas/slopes for use in loopback-based animations. Otherwise it's too hard to say e.g. "I want a 180 degree rotation over 16 beats": you have to figure out what increments will add up to 180 manually.

Cool! Correct me if I'm wrong, but isn't that kind of animation essentially loopback with incremental transforms on each frame before feeding back into SD? If so, that's why I'm so excited about the colour improvements too (I'm the author of sd-parseq, a tool for SD animations: https://github.com/rewbs/sd-parseq)! :)

As described in this post, I've been working on a script for automatic1111 UI with its own separate companion UI for "sequencing" parameter changes over multiple generations, resulting in interesting videos that you can control precisely. This video gives a quick & dirty demo to give you a better idea of what it does. The output described in that video looks like this. If you're feeling adventurous you can check out the param flows directly in the parseq UI here (NB: only tested in Chrome so far, uses massive URLs which some browsers don't like). The code is here: https://github.com/rewbs/sd-parseq

I've been playing with the idea of a custom script + companion UI to give fine grained control over various parameters when generating videos. It's still very rough but I think it's just about ready to share: https://github.com/rewbs/sd-parseq

I tried using TheLastBen's fast dreambooth trainer. I managed to train a ckpt file but I can't run it.

You have a colab from ThelastBen It uses to be thes best at the time when auto1111 was working in google colab free. https://github.com/TheLastBen/fast-stable-diffusion

Using https://github.com/TheLastBen/fast-stable-diffusion

This repo offers a template how to start with SD on runpod https://github.com/TheLastBen/fast-stable-diffusion. But I know how to code, si I made my own solution.

I can confirm I'm using the latest version of the colab notebook of this repo (https://github.com/TheLastBen/fast-stable-diffusion). Anyone can point to any solutions to this problem? Thanks in advance!

TheLastBen's Fast DB SD Colabs, +25-50% speed increase, AUTOMATIC1111 + DreamBooth

CalledProcessError Traceback (most recent call last) in () 182 wget.download('https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/det.py') 183 print('Detecting model version...') --> 184 Custom_Model_Version=check_output('python det.py '+sftnsr+' --MODEL_PATH '+MODEL_PATH, shell=True).decode('utf-8').replace('\n', '') 185 clear_output() 186 print(''+Custom_Model_Version+' Detected')

have you tried https://github.com/TheLastBen/fast-stable-diffusion ?