sd-webui-supermerger
stable-diffusion-webui-model-toolkit
sd-webui-supermerger | stable-diffusion-webui-model-toolkit | |
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13 | 16 | |
680 | 218 | |
- | - | |
9.3 | 10.0 | |
4 days ago | about 1 year ago | |
Python | Python | |
GNU Affero General Public License v3.0 | MIT License |
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sd-webui-supermerger
- Merging Lora with Checkpoint Model?
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Creating a Lora with Kohya doesn't seem to work
Have u tried the supermerger extension ? https://github.com/hako-mikan/sd-webui-supermerger
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Mega Model 1.8 Updated and enhanced with mass LORA model
Have u looked at https://github.com/hako-mikan/sd-webui-supermerger - it may or may not allow you to give comment. Im going on what im experiencing with this LORA experiment, it sort of updates parts of it, and if u put balanced models back in on reversing or offsetting the overcooked stage it gets to over time the model does seem to improve versus base 1.5.
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How can I merge a lora into a checkpoint?
I found this extension: supermerger
- For those wanting to merge LORA into checkpoints for extra flexibility
- the developer of the automatic1111 supermerger extension seems to be in over his head from a coding perspective, might need community assistance
- Learned the intricacies of the SuperMerger extension today for 2.1 based models. Happy with the results. No inpainting or post processing.
- Mixing use Lora to style
- Unstableinkdream 7.5 release
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I tried merging a model with ProtoThing_200 using AutoMBW (ft. custom model)
I merged this on Colab, so you don't need a powerful graphics card. You'll need the block merge extension,the model toolkit extension and the supermerger extension.
stable-diffusion-webui-model-toolkit
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DreamShaper 6 Released!
I think you can prune your model to under 4G using the webui-model-toolkit
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Why some models are bigger than other?
I am using Model Toolkit in A1111, and most of the time it does it's job well by removing junk data and converting model to fp16. This results in 2GB file, but... There are models that cannot be converted to 2GB version. Noticeably CyberRealistic v2.0 has this "issue".
- Still Need Help: How to prune a ckpt on colab?
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CKPT to Safetensors
Use the model toolkit extension in A1111 -> https://github.com/arenatemp/stable-diffusion-webui-model-toolkit
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I tried merging a model with ProtoThing_200 using AutoMBW (ft. custom model)
I merged this on Colab, so you don't need a powerful graphics card. You'll need the block merge extension,the model toolkit extension and the supermerger extension.
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problem with models.
If issue persists after trying the suggestions given, fix the model by using the model toolkit: https://github.com/arenatemp/stable-diffusion-webui-model-toolkit
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Is it possible to make 3D realistic renders of architecture from low polly pictures like this with SD that will keep the elements like furniture, windows, doors etc. in the same place just add realistic textures (and variations of it)? What would be best general workflow for that?
Also, I'd highly recommend getting the Model Toolkit. It's an extension that can load up your models and prune information it doesn't need, making them drastically smaller. It can also fix broken models. You have to install it manually, but it's pretty easy (and explained on the GitHub). Well worth downloading.
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My new favorite models for photorealism
Protogen Infinity has been my go to in recent weeks (I recommend getting the full unpruned version, and pruning/fixing it with arenatemp's toolkit). Very versatile, flexible, creative, diverse, high quality, etc., but I think I'll be trying Realistic Vision 1.4 (and maybe Deliberate v2) more now. I might try merging Realistic Vision and Protogen Infinity, and see if that improves on either of them (merging RV and Deliberate together didn't necessarily see any improvements).
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Stable Diffusion crashing my laptop's GPU
Someone made a "model fixer" for this reason too apparently.
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Quantizing Diffusion Models : Running Stable Diffusion in only 4-bit weights without losing much perceptual quality
I agree about having to reload the UI. Since I have some pluigins installed I have to restart the UI or the engine (via CTRL-C) to maintain that 576x576 resolution as it'll run out of just enough memory to do it sometimes. I've found that safetensor format makes reloading MUCH QUICKER after a restart and I've used the Basic tab on this extension to trim the fat out of models I use, while converting them to fp16 and safetensor format.
What are some alternatives?
sdweb-auto-MBW
safetensors - Simple, safe way to store and distribute tensors
clip-interrogator-ext - Stable Diffusion WebUI extension for CLIP Interrogator
ControlNet - Let us control diffusion models!
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-webui-model-toolkit - A Multipurpose toolkit for managing, editing and creating models.
kohya_ss
sd-webui-model-converter - model convert extension for stable-diffusion-webui. supports convert fp16/bf16 no-ema/ema-only safetensors
k-diffusion - Karras et al. (2022) diffusion models for PyTorch
stable-diffusion-webui - Stable Diffusion web UI