lora
sd-webui-additional-networks | lora | |
---|---|---|
39 | 83 | |
1,715 | 6,616 | |
- | - | |
5.4 | 0.0 | |
4 months ago | about 2 months ago | |
Python | Jupyter Notebook | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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sd-webui-additional-networks
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How to Add LoRa with Weight Stable Diffusion: Expert Tips
In the input field labeled "URL for extension's git repository," paste the following link: https://github.com/kohya-ss/sd-webui-additional-networks.git
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Lora's not working after update?
Yes, this one: https://github.com/kohya-ss/sd-webui-additional-networks
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Dimension error using SD 2.1 768x LoRA
Seems that calling Loras from the prompt is bugged right now. Install "Additional Networks" (https://github.com/kohya-ss/sd-webui-additional-networks) and use them from the GUI, without mentioning it in the prompt at all:
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how do i use a lora with anything 4v5 with stablediffusion for a character?
Use the additional networks extension Download your lora and place it into "stable-diffusion-webui\extensions\sd-webui-additional-networks\models\lora". Now you can select the lora in the additonal networks tab in your web ui and set a weight. Afterwards you can just generate your image.
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What are some of the best and the easiest to install modules for this? I got web ui. And I got some face restoration thing. (Apologies, I'm not very smart.)
sd-webui-additional-networks: wouldn't be necessary, but it has more functions than the basic web-ui integration.
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Use this amazing LoRa model to generate cyborgs / robots in Stable Diffusion
📷 If you are getting the error "failed to match keys when loading Lora" it means you are either on the native Lora integration of Automatic1111 which may not support LoCon, please install the https://github.com/kohya-ss/sd-webui-additional-networks extension to solve the issue.
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Keeping Track of LoRA Trigger Words?
if you use civitai, you can use this extension, if you have this Lora extension, you can edit the meta data and load it from there.
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Hey can someone help?
I have both https://github.com/kohya-ss/sd-webui-additional-networks and https://github.com/KohakuBlueleaf/a1111-sd-webui-lycoris because i was told these are the ones i needed for LyCORIS to work. IT did for a while but since recently it has stopped working altogether.
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How to use up to 3 separate LORA characters in one generated image without merging (Tutorial)
This does not require the use of the Latent Couple(Two-Shot) extension. This requires the Additional Networks Extension, which may already be in your Stable Diffusion install or can be installed from https://github.com/kohya-ss/sd-webui-additional-networks through the extensions tab as shown below.
- [Stable Diffusion] Impossible de trouver Lora avec le nom \ "Lora Name \"
lora
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You can now train a 70B language model at home
Diffusion unet has an "extended" version nowadays that applies to the resnet part as well as the cross-attention: https://github.com/cloneofsimo/lora
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How it feels right now
Absolutely. But that doesn't matter because you only have to train it at scale, once. There are papers released already that show it's possible to update weights in small sections. You won't have to wait for the next monolithic LLM to drop to get up to date information. It will start to learn in bits and pieces.
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LoRA tuning in julia
No, it's a deep learning thing
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What does Lora mean?
Low Rank Adaptation of Large Language Models.
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[D] An ELI5 explanation for LoRA - Low-Rank Adaptation.
Recently, I have seen the LoRA technique (Low-Rank Adaptation of Large Language Models) as a popular method for fine-tuning LLMs and other models.
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Combining LoRA, Retro, and Large Language Models for Efficient Knowledge Retrieval and Retention
Enter LoRA, a method proposed for adapting pre-trained models to specific tasks[2]. By freezing pre-trained model weights and injecting trainable rank decomposition matrices into the transformer architecture, LoRA can reduce the number of trainable parameters and the GPU memory requirement, making the adaptation of LLMs for downstream tasks more feasible.
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100K Context Windows
Open-source LLM projects have largely solved this using Low-Rank Adaptation of Large Language Models (LoRA): https://arxiv.org/abs/2106.09685
Apparently an RTX 4090 running overnight is sufficient to produce a fine-tuned model that can spit out new Harry Potter stories, or whatever...
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President Biden meets with AI CEOs at the White House amid ethical criticism
Alpaca was trained for $600 ($100 for the smaller model) and offers outputs competitive with ChatGTP. https://arxiv.org/abs/2106.09685
- LoRA: Low-Rank Adaptation of Large Language Models
- LORA: Low-Rank Adaptation of Large Language Models
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
stable-diffusion-webui-dataset-tag-editor - Extension to edit dataset captions for SD web UI by AUTOMATIC1111
sd_dreambooth_extension
kohya_ss
ControlNet - Let us control diffusion models!
Stable-Diffusion-Webui-Civitai-Helper - Stable Diffusion Webui Extension for Civitai, to manage your model much more easily.
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.