stable-diffusion-webui-wd14-tagger
batch-face-swap
stable-diffusion-webui-wd14-tagger | batch-face-swap | |
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15 | 7 | |
888 | 331 | |
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8.6 | 5.3 | |
10 months ago | 8 months ago | |
Python | Python | |
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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
batch-face-swap
- Basic Guide #12 - How to Upscale an Image While Adding Details (multi-diffusion + tiled VAE)
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Any way to bulk restore faces?
no idea if this will do what you want, but it's worth checking out. https://github.com/kex0/batch-face-swap
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Batch face swap script, see comment
You can install the extension from A1111 extensions tab on the available tab. Or manually from here: https://github.com/kex0/batch-face-swap
- Cohesive Animation in Stable Diffusion Img2Img
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Deepfake img2img diffusion
this A1111 extension lets you reference a folder with images, then it will auto detect and mask faces in those images and let you run the inpainting process on each one systematically as a batch, https://github.com/kex0/batch-face-swap
- Feature suggestion - automatic batch face inpaint
What are some alternatives?
clip-interrogator - Image to prompt with BLIP and CLIP
Lora-for-Diffusers - The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
sd_dreambooth_extension
multidiffusion-upscaler-for-automatic1111 - Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui-vae-tile-infer - Yet another vae tiling inferer, extension script for AUTOMATIC1111/stable-diffusion-webui.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
booru2prompt - An extension for stable-diffusion-webui to convert image booru posts into prompts
stable-diffusion-webui-dataset-tag-editor - Extension to edit dataset captions for SD web UI by AUTOMATIC1111
stable-diffusion-webui-stable-horde - Stable Horde client for AUTOMATIC1111's Stable Diffusion Web UI
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
sd-webui-reactor-force - Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111, SD.Next, Cagliostro) with NVIDIA GPU Support