kohya-sd-scripts-webui
stable-diffusion-webui-wd14-tagger
kohya-sd-scripts-webui | stable-diffusion-webui-wd14-tagger | |
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2 | 15 | |
167 | 888 | |
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4.3 | 8.6 | |
11 months ago | 10 months ago | |
Python | Python | |
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kohya-sd-scripts-webui
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Captioning Training Images
I've never use this but there is Batch Captioning on preparation tab. It can run as standalone program or even Automatic1111's extension.
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Problem when trying to install Kohya to train a Lora model
Also tried https://github.com/ddPn08/kohya-sd-scripts-webui which works over colab but the video tutorials to train a Lora shows a tab which this colab doesn´t have.
stable-diffusion-webui-wd14-tagger
- CLIP and DeepDanbooru Alternatives For Prompt Generation [Relevant Self-Promotion]
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Ideas for extensions?
Create an extension like 'send pictures' that uses the WD14 tagger which is way more detailed and has options for nsfw etc. Its used in Automatic1111 and Koyha ss so there's extensions you can probably implement from. https://github.com/toriato/stable-diffusion-webui-wd14-tagger
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vladmandic-WD14-Tagger
If anyone is interested I made some changes to toriato's wd14-tagger, now it works also on vladmandic webui, repo here. You can do a new installation, or use your old automatic1111 one changing 3 files, instructions on my repo. The lora files also work (there were some problems in the vlad issue page). I'm not a programmer and it's not perfect though, in fact for now if you don't like the default tagger model you have to change it manually (instructions in the repo), and since it is basically a fork of toriato's version, if there were errors there, there will be here too.
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Community-trained SD 1.6 Model, can we do it?
Automatic captioning tools that can be used as an initial point for captions: this tool or this one.
- Is anyone able to make the tagger extension compatible with Vlad UI ?
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What are your favorite Extensions?
wd14-tagger, to describe anime images and get a prompt idea
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Experiment AI Anime w/ C-Net 1.1 + GroundingDINO + SAM + MFR (workflow)
Use WD 1.4 tagger (https://github.com/toriato/stable-diffusion-webui-wd14-tagger) to extract prompt words from each frame (threshold 0.65), then use the dataset tag editor (https://github.com/toshiaki1729/stable-diffusion-webui-dataset-tag-editor) for batch editing, mainly:
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Currently getting better results with Kohya ss Loras (Lycoris Locon) than with DB, am I alone?
I recommend using EveryDream2. You'll need an 11GB VRAM GPU. There's no need to crop or resize images, just caption them, which can be done automatically with CLIP Interrogator or WD14 taggers. Make sure to add the trigger word for your subject. It's not a Dreambooth script; it's actual training, so it shouldn't be as destructive to the model as Dreambooth. Typically, using an LR of 1e-6 with a cosine scheduler over two epochs and a batch size of 4 works fine. This script supports validation, so you can actually watch in real-time whether the training is going well or if you're overfitting. I got very good results using it.
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For Lora training, isn’t there a good AI that discribes the pictures you want to use for training?
In my current process, I use CLIP Interrogator to produce a high level caption and wd14 tagger for more granular booru tags. Typically in that order, because you can append the results from the latter to the former. Both tools perform with greater accuracy than the standard interrogators in img2img and give you more flexibility and features as well. You still have to do some manual adjustments, but I generally prefer this process over starting from scratch.
- Captioning LoRA's
What are some alternatives?
kohya_ss
clip-interrogator - Image to prompt with BLIP and CLIP
invoke-ai-gui-colab - An attempt to run latest release of Invoke Ai's web gui through Google Colab
batch-face-swap - Automaticaly detects faces and replaces them
LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
sd_dreambooth_extension
Anti-DreamBooth - Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
stable-diffusion-webui - Stable Diffusion web UI
sd-easy-mode - Easy Mode Stable Diffusion process allows you to generate images based on your own photos in just three steps
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
safetensors_util - Utility for Safetensors Files
stable-diffusion-webui-dataset-tag-editor - Extension to edit dataset captions for SD web UI by AUTOMATIC1111