LyCORIS
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion. (by KohakuBlueleaf)
| LyCORIS | ainodes-engine | |
|---|---|---|
| 13 | 24 | |
| 1,991 | 250 | |
| - | - | |
| 9.6 | 9.3 | |
| 3 days ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | GNU Lesser General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
LyCORIS
Posts with mentions or reviews of LyCORIS.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-28.
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LoRA (LyCORIS) iA3 is amazing (info in 1st comment)
Lycoris is another implementation of LoRA done by KohakuBlueleaf: https://github.com/KohakuBlueleaf/LyCORIS
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Training LORAs locally guide in text form?
Most guides focus on LoRa training as that has been around for longer. But I think LoHa can give better results. But the training is about half as fas it/s and it requires different training settings.
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Guide to DreamBooth / LORA / LyCORIS
I've read in some tutorials that it is best that the value should be 64 or below, also here they suggest to not go over 64 ( https://github.com/KohakuBlueleaf/LyCORIS )
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LyCORIS doesn't work with inpainting models
Does anyone know how to make LyCORIS models (https://github.com/KohakuBlueleaf/LyCORIS) work with inpainting models?
- wtf is a lycoris?
- I wonder what to do with this?
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I'm the creator of LoRA. How can I make it better?
I think it was linked already but this is also relevant for LoRa: https://github.com/KohakuBlueleaf/LyCORIS Nice work!
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LoRA: Low-Rank Adaptation of Large Language Models
There are some WIP evolutions of SD Lora in the works, like locon and lycoris.
https://github.com/KohakuBlueleaf/LyCORIS
- What the hell is a Locon/Loha model?
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SD fine-tuning methods compared: a benchmark
You might want to expand LoRA to include LoCon and LoHa, (and also add a column for VRAM requirements) (Think of it as a more complete LoRA that works for the kernels in the convolutional units rather than just the weights for the feed-forward network), support is still quite limited, but it's starting to pick up steam https://github.com/KohakuBlueleaf/LyCORIS
ainodes-engine
Posts with mentions or reviews of ainodes-engine.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-21.
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We need 3d interface for stable diffusion
currently working on a pyqt node based app, qt has a lot of 3d power. XmYx/ainodes-engine (github.com)
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aiNodes - daily (comfy) update
1: git clone -b comfy-dev https://github.com/XmYx/ainodes-engine 2: cd ainodes-engine 3: setup_ainodes.bat then you can start ainodes the usual way, but also ComfyUI with run_comfyui.bat. If you install any custom node package for comfy using the comfy manager, those get imported into the desktop engine on next start. Compatibility is WIP, but most image and sampling nodes will work. (Disco Diffusion too) To install the Comfy Manager run the following from ainodes-engine folder: 1: cd src 2: cd ComfyUI 3: cd custom_nodes 4: git clone https://github.com/ltdrdata/ComfyUI-Manager.git
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aiNodes
XmYx/ainodes-engine (github.com) patreon.com/deforum_ainodes
- AUTOMATIC1111 New Extension - Kandinsky
- aiNodes - daily update - Example Graphs with Help
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I created another stable diffusion UI.
And take a look at the node engine if you are interested: https://github.com/XmYx/ainodes-engine
- aiNodes - work continues
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I will pay someone to make me a simple UI for SD
You can see some of our previous open source works at: XmYx/ainodes-engine (github.com)
What are some alternatives?
When comparing LyCORIS and ainodes-engine you can also consider the following projects:
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
sd-webui-additional-networks
kandinsky2-simplegui - Simple local gui to play with Kandinsky 2
diffuzers - a web ui & api for 🤗 diffusers
kohya_ss
kandinsky-for-automatic1111 - Automatic1111 extension adding support for Kandinsky 2.X
StableTuner - Finetuning SD in style.
stable-diffusion-webui-extensions - Extension index for stable-diffusion-webui
LyCORIS vs lora
ainodes-engine vs ComfyUI
LyCORIS vs LoRA
ainodes-engine vs sd-webui-additional-networks
LyCORIS vs ComfyUI
ainodes-engine vs kandinsky2-simplegui
LyCORIS vs sd-webui-additional-networks
ainodes-engine vs diffuzers
LyCORIS vs kohya_ss
ainodes-engine vs kandinsky-for-automatic1111
LyCORIS vs StableTuner
ainodes-engine vs stable-diffusion-webui-extensions