sdweb-merge-block-weighted-gui
fast-stable-diffusion
sdweb-merge-block-weighted-gui | fast-stable-diffusion | |
---|---|---|
14 | 239 | |
312 | 7,326 | |
- | - | |
0.0 | 8.6 | |
8 months ago | 26 days ago | |
Python | Python | |
- | MIT License |
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sdweb-merge-block-weighted-gui
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MEGA MODEL + 1400 LORAS MERGED (EXPERIMENTAL)
The only other option is merge weighted block, it would be possible with that butit would require merge block weighted extension and you would have to consult others on that as it is much more complex and i havent dug into it, you would have to find the extension here https://github.com/bbc-mc/sdweb-merge-block-weighted-gui (you cant merge LORAs into that, but you could take the latest experimental MM and your own model)
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Tutorial for Checkpoint Merging, Does it Exist?
Extensions like supermerger or https://github.com/bbc-mc/sdweb-merge-block-weighted-gui also fail to explain anything, via the readme description, or via tool tips or similar integrated documentation.
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Why does fine tuning off SD1.5 behave so much different than other 1.5 models based on it?
maybe use this for meging give you a lot of power in merging.
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Checkpoint merge
I suggest to use this extension for more powerful control.
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MMD real( w.prompt) +Asuka Langley
Also i'm study the "Merge block weighted", the model i used is a merge of all my model(many merge to understanding the estension) with those extension. If you are interesting on a merge, the extension really do the power on correct some error and fix bad clip. Understanding it is not so complicated, but you need to test, experimenting, fail and try again to manage how it work and find your best value for correct merge.
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how do you "clip fix" a model?
Very welcome, way at the bottom of the page are some instructions on using this extension to fix models, but I've just started another mov2mov test run so I can't try it myself at the moment. Good luck tho! :D
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Egg Fusion - easter 512dim LoRa Merge
checkpoints simple way is https://github.com/bbc-mc/sdweb-merge-block-weighted-gui for 1111 and paste the Weight_values= above... overall they are FAKE_CUBIC_HERMITE REVERSE variant.
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Merge Block Weighted for Automatic1111?
From here https://github.com/bbc-mc/sdweb-merge-block-weighted-gui
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Why is the last iteration screwing up my image?
/u/degesz Found a fix. https://rentry.org/clipfix Seems like this is a common problem in many models. I used the extension with automatic1111 and fixed the models with the use with the https://github.com/bbc-mc/sdweb-merge-block-weighted-gui extension.
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Some images i made using SD
No, sorry, i only have this on my pc, but the script is this one https://github.com/bbc-mc/sdweb-merge-block-weighted-gui
fast-stable-diffusion
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Working Colab notebooks for training Dreambooth?
I tried using TheLastBen's fast dreambooth trainer. I managed to train a ckpt file but I can't run it.
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Running AUTOMATIC1111 on Google Colab
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
- Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0
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Google Colab disconnects after 5 mins of hosting A1111
Using https://github.com/TheLastBen/fast-stable-diffusion
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I'm kinda new to all of this and just wanted to ask... How can I fix something like this? Tried inpaint but didn't work even after changing parameters and img2img make it lose quality...
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.
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Unable to use ControlNet on AUTO1111 GUI - Google Colab Notebook
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!
- Automatic 1111 not working
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Useful Links
TheLastBen's Fast DB SD Colabs, +25-50% speed increase, AUTOMATIC1111 + DreamBooth
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Can you use other base model to train your own model with TheLastBen or ShivamShrirao collab?
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')
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How to Install and Run Stable Diffusion in Automatic1111 with Deforum in Google Collab?
have you tried https://github.com/TheLastBen/fast-stable-diffusion ?
What are some alternatives?
sd-webui-check-tensors
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
stable-diffusion - A latent text-to-image diffusion model
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
stable-diffusion-tensorflow - Stable Diffusion in TensorFlow / Keras
stable-diffusion-webui-distributed - Chains stable-diffusion-webui instances together to facilitate faster image generation.
efficient-dreambooth - [Moved to: https://github.com/smy20011/dreambooth-docker]
ebsynth_utility - AUTOMATIC1111 UI extension for creating videos using img2img and ebsynth.
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
stable-diffusion-webui-adverse-cleaner-tab - An extension of AUTOMATIC1111's webui to remove adverse noise from images.