sdweb-merge-block-weighted-gui
sd-scripts
sdweb-merge-block-weighted-gui | sd-scripts | |
---|---|---|
14 | 64 | |
312 | 4,222 | |
- | - | |
0.0 | 9.7 | |
8 months ago | about 18 hours ago | |
Python | Python | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sdweb-merge-block-weighted-gui
-
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)
-
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.
-
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.
-
Checkpoint merge
I suggest to use this extension for more powerful control.
-
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.
-
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
-
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.
-
Merge Block Weighted for Automatic1111?
From here https://github.com/bbc-mc/sdweb-merge-block-weighted-gui
-
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.
-
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
sd-scripts
- Everything you know about loss is a lie
- Evidence that LoRA extraction in Kohya is broken?
- Stable Diffusion XL (SDXL) DreamBooth training with EMA (Exponential Moving Average) on the way
-
Installing kohya_ss GUI on AWS
This repository mostly provides a Windows-focused Gradio GUI for Kohya's Stable Diffusion trainers... but support for Linux OS is also provided through community contributions.
- Question on SD Finetuning
-
Trying to put up a simple dreambooth for sdxl, but an errors pops up
Leaving this here because i'm very tired, so this is the file of the ipynb that uses the sdxl_train.py from the https://github.com/kohya-ss/sd-scripts/tree/sdxl repo, if anybody find out why when getting to the training i get this very empty error : " [00:09:11] WARNING The following values were not passed to "
-
Finally SDXL coming to the Automatic1111 Web UI
You can try and test training LoRAs now https://github.com/kohya-ss/sd-scripts/tree/sdxl
-
Help with LORA Training - Kohya_ss Regularization
This might help.
-
need a lora traning guide for linux
Kohya_ss sd-scripts Seems to be the standard for lora training. The linked page has an English translation, but doesn't really have system specific tips. Someone else has a popular gui for it, but it's designed with windows in mind. There's another, simpler gui, but its still in development and the dev doesn't do any testing on Linux. With any of these, I run into dependency conflicts like crazy.
-
SDXL 0.9 is wild but trying to imagine where we go from here is breaking my brain.
"Direct training" is already feasible with masking in kohya-ss: https://github.com/kohya-ss/sd-scripts/pull/589
What are some alternatives?
sd-webui-check-tensors
kohya_ss
stable-diffusion - A latent text-to-image diffusion model
sd_dreambooth_extension
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]
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
stable-diffusion-webui-distributed - Chains stable-diffusion-webui instances together to facilitate faster image generation.
bitsandbytes-rocm
ebsynth_utility - AUTOMATIC1111 UI extension for creating videos using img2img and ebsynth.
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
stable-diffusion-webui-adverse-cleaner-tab - An extension of AUTOMATIC1111's webui to remove adverse noise from images.
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning