Wd14 captioning character threshold 7 The way to have multiple identifiers within one Lora is by using captioning. k. array([x[1] for x in character_names]) character_thresh = mcut_threshold(character_probs) character_thresh = max (0. Quality is more important than quantity. You can disable this in Notebook settings. add_argument("--thresh", type=float, default=0. A NL pass for the T5 and a comma seq Pass for Clip L. Change to the custom_nodes\ComfyUI-WD14-Tagger folder you just created. Use 0. com/toriato/stable-diffusion-webui-wd14-tagger. Sidequest: Creating the data for PaliGemma - Longprompt. Our proposed method, FUSECAP, fuses the outputs of such vision experts with the original captions using a large language model (LLM), yielding comprehen-sive image descriptions. train_util as train_util wd14 captioning is not without its drawbacks. 85), and "Exclude Tag" blocks unwanted tags—e. Write better code with AI Security. This batch tagger support wd-vit-tagger-v3 model by SmilingWolf which is more updated model than legacy WD14. The newest model (as of writing) is MOAT and the most popular is ConvNextV2. r/StableDiffusion • finally , AUTOMATIC1111 has fixed high VRAM issue in Pre-release version 1. Tag files will be created in the same directory as the training data images, --character_threshold: Confidence threshold for character tags. v1,wd14-vit. 20 pictures of each additional costume for a total of 80ish. " Step 2: Connect WD14 to the CLIP Text Encode (Prompt) Node Vodka V3 (complete) - adding tags to captions to see their impact; Vodka V4 (in progress) - addressing the ‘frying’ issue by decoupling UNET and Text Encoder training parameters BICUBIC) image_array = np. a number of tags from the wd14-convnext interrogator (A1111 Tagger extension). models import load_model from huggingface_hub import hf_hub_download import torch from pathlib import Path sys. usage: python combineCap. a plain text description of the image, based on the CLIP interrogator (A1111 img2img tab) and lastly 5. Both tools use the BLIP model (link) to generate sentence-like captions for the images, but the slightly different settings. 1 - Create a new folder named "SmilingWolf" in the root of your training script of choice (in my comma-separated list of undesired tags to remove from the wd captions. the prompt to let the AI to excite the desired costume. On a side note, the keyword woman doesn't appear in any of my captions since switching to WD14 for captioning. WD14 captions using 1girl instead. py --batch_size <バッチサイズ> <teacherデータフォルダ> If the batch size is 8 and the training data is placed in the parent folder Contribute to toriato/stable-diffusion-webui-wd14-tagger development by creating an account on GitHub. About 40-60 is the ideal. If you're generating in kohaya_ss just move the . Reply reply Acrobatic-Salad-2785 • The important question for me is: was this on sdxl or sd1. Reply reply You can use smart-preprocessor to auto crop and tag datasets. For A ComfyUI extension allowing for the interrogation of booru tags from images. 4 Tags. The caption is the list of tags as a single string, as it appears in the . the prompt to let the AI to Here are some recommended threshold values when using the tool: High threshold (e. Like I mentioned, I use the GUI, so I'll accordingly be referring to the tabs and fields in that repo. An experiment to see how WD14 captions work with SDXL. Face detection and recognition: It can detect faces in an image and identify individual faces. What's new Model v2. 35, general_mcut_enabled: bool = False, character_threshold: detector, an attribute recognizer, and an Optical Character Recognizer (OCR). threshold of confidence to add a tag from general category, same as --threshold if omitted. Try saving every other epoch. waifu-diffusion tagger server / onnx | wd-tagger as api service - LlmKira/wd14-tagger-server Saved searches Use saved searches to filter your results more quickly For WD_caption I have used Kohya GUI WD14 captioning and appended prefix of ohwx,man, For WD_caption and kosmos_caption regularization images concept, just “man” used. It was similar to V2 but could react to those tags. WD14 Captioning is commonly used, but BLIP can be better in some situations. To learn more about the difference between captions and subtitles, check out this article! Closed vs. Add this suggestion to a batch that can be applied as a single commit. Edit: I did just start making LoRa like two days ago, so maybe there is a BLIP captioning is a method of generating captions for images using another pre-trained model that can handle both vision-language understanding and generation tasks. Kromgar • You don't actually need to include the character name in captions. Six: No Caption (All bad as the character wasn't known by Flux, this one was appealing) Pikachu: Simple Word (Best background, Similar to the previous one, specify the minimum 'confidence' level for a character in the prediction. 35, help="threshold of confidence to add a tag / タグを追加するか判定する閾値") parser. dec-5 threshold: The score for the tag to be considered valid; character_threshold: The score for the character tag to be considered valid; exclude_tags A comma separated list of tags that should not be included in the results; Quick interrogation of images is also available on any node that is displaying an image, e. Threshold: tags below this threshold are grayed out and not saved when saving tags: Threshold Low: threshold for the tagger model, tags below this threshold won't be displayed at all: Save Tag Scores: save tag scores when saving tags (for training with weighted captions/tags) For WD_caption I have used Kohya GUI WD14 captioning and appended prefix of ohwx,man, For WD_caption and kosmos_caption regularization images concept, just "man" used For Kosmos-2 batch captioning I have used our SOTA script collection. Time to fire up Kohya. 1 bug. py [-h] (--dir DIR | --file FILE) [--threshold THRESHOLD] [--ext EXT] [--overwrite] [--cpu] [--rawtag] [--recursive] [--exclude-tag t1,t2,t3] [--model {wd14-vit. One character, one Costume (low data) "Threshold" sets the score at which a tag is valid (lower scores generate more prompt words). Tested on CUDA and Windows. 0: P=R: threshold = 0. v2,wd14-convnextv2. The first time you do this, it will take a while to download the Blip captioner. We’re on a journey to advance and democratize artificial intelligence through open source and open science. deepdanbooru-v3-20211112-sgd-e28. This dual approach not only allows for flexible prompting but Saved searches Use saved searches to filter your results more quickly A Script to combine the WD14 Captions and BLIP captions generated by Kohya_ss. py","path":"kohya_gui/__init__. Skip to content Threshold: 0. Allow me to go into a little bit of detail. keras. 0. I am not studying captioning with this study though. g. I've uploaded each version of the model as a separate version, with it's own images and such on the side. 0-RC , its taking only 7. expand_dims (image_array, axis = 0) def _postprocess_embedding (pred, embedding, model_name: str = _DEFAULT_MODEL_NAME, general_threshold: float = 0. tagging import get_wd14_tags, tags_to_text, drop_blacklisted_tags, drop_basic_character_tags from imgutils. Model of choice for classification is Imho captions for artstyle LoRa's still improve results, but I find them to be much more important for character LoRa's, particular those complex ones with multiple outfits and styles. a. Aim for 15-50 high-quality images. join(os. py","contentType":"file"},{"name":"basic These are the prefixes you can use to specify the filter criteria you want to apply: tag:: Images that have the filter term as a tag tag:cat will match images with the tag cat. Paper MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. Whether working with AI-generated images, text, or other visual content, reverse prompting allows you to dissect the Out of memory when using WD14 captioning #384. Model was trained on AOM2-nugmegmixGav2. So if you want to have it in a file for some reason or want it for LoRA training, then you'd have to write the program yourself. The LoRa file can also be merged with the base model to create a checkpoint. 7 Hit “ Caption Images “. Learn more about bidirectional Unicode characters Host and manage packages Security. Threshold of confidence to add a tag from general category, if not defined, will use --threshold as it. py", line 15, in <module> import library. FLD-5B supports regional annotation tasks, such as image segmentation, - **character_threshold**: The score for the character tag to be considered valid - **exclude_tags** A comma separated list of tags that should not be included in the results Quick interrogation of images is also available on any node that is displaying an image, e. Version 3 - WD14 Captions. py --windows-standalone-build [START] Security scan [DONE] Security It's useful if you don't plan to spend much time revising the captions. dll installed in site-packages. --wd_general_threshold. - Out of 10 body images, include 2-3 images of the character - After normal WD14 captioning, add a character tag to only those images - like l4g3rth4 or h4rl3yq while keeping the rest of the tags as is - This will allow the model to # Everything else is characters: pick any where prediction confidence > threshold: character_names = [labels[i] for i in self. Downloads. For captioning I have a text file with types of tags I know I'll have to hit- subject (solo, 1girl, 1boy, those early tags), what kind of perspective- portrait, closeup, full body, etc, where the character is looking (looking up, looking to the side, looking at viewer, etc), what the perspective of the viewer is (from above, from below, pov, etc), and I write down common help="threshold of confidence to add a tag for character category, same as --thres if omitted / characterカテゴリのタグを追加するための確信度の閾値、省略時は --thresh と同じ", v2. py \ input \ --batch_size 4 \ --caption_extension . Subtitles. NeverEnding Dream (NED) - it's great model from lykon, I use for character and specific subject training - you can use it whether you use BLIP or WD14. And this is in fact how I trained this one. So having a high threshold means the most accurate tags found will be applied to the caption file. You can try them out here WaifuDiffusion v1. threshold: The score for the tag to be considered valid; character_threshold: The score for the character tag to be considered valid; exclude_tags A comma separated list of tags that should not be included in the results; Quick interrogation of images is also available on any node that is displaying an image, e. This release is sponsored by fal. The need for captions is outlined under Success Criterion 1. a LoadImage, SaveImage WD14 captioning for each image Epochs: 7 Total steps: 2030 So this still isn't perfect, while on SD 1. exe -s ComfyUI\main. If I didn't do that, her hair would probably default C:\Users\ZeroCool22\Desktop\ComfyUI_windows_portable>. This script is to mass captioning the image on one directory. . Saved searches Use saved searches to filter your results more quickly For example, when you run the captioning it says something like: "a man with glasses and beard in a blue shirt dancing in the rain" I want this Lora to include the glasses and the beard whenever I try to bring this person into sd so I replace the above with "mrHandsome in a blue shirt dancing in the rain" How to use a character embedding in a prompt along with other character? NOTE: This article will be focused on best practices for writing captions (either closed captions or open captions) rather than subtitles. The way the tagger works is that it produces a New version is out: https://civitai. BLIP Captioning, to generate captions recursively, by checking sub-directories as well. As many guides underline, captioning is crucial. Add folder directory and add any prefixes, each prompt will start with the prefix so you can easily call your LoRA This notebook is open with private outputs. Recommended negative keywords: blur, noise, photo. a `LoadImage`, `SaveImage`, `PreviewImage` node. howyoungchen opened this issue Apr 8, 2024 · 2 comments Labels. Still working on a 'batch_size' option to make A Python base cli tool for tagging images with WD14 models and VLM API. train_util as train_util ModuleNotFoundError: No module named 'library' This tutorial will explore using the WD14 in Flux NF4 to reverse prompting. We also increased our learning rate by 50%, leaving everything else as in V2. if your character always have blue hair, you can Finetuned with WD14 captions, longer prompts seem to do better in general, but style and quality can wary a lot from one prompt to the next. I am also a researcher on SD and am doing data collection all this week on multi-subject training with captioning methods. Anything related to Anything-v3 should work. 18:28:43-487341 INFO Captioning files in C:/Users/. 1. txt files to dedicated directories and set the output directory as your dataset folder. Just keep in mind you are teaching something to SD. 6911. Wooly Style Flux LoRA. E. v3,mld-caformer. , entering "cat" excludes it when reversing "dog. Uses trigger word "w00lyw0rld". Can you help me to fix it? To create a public link, set share=True in launch(). v3,wd-v1-4-swinv2-tagger. main Single-identifier_LORA_Model / README. v1,wd14-swinv2-v1,wd-v1-4-moat-tagger. threshold of confidence to add a tag, default value is 0. Bumped the minimum ONNXRuntime version to >= 1. 5? WD14 or GIT captioning? Reply reply In Kohya_ss go to ‘Utilities’-> ‘Captioning’ -> ‘WD14 Captioning’ a. add_dll_directory(), but I couldn't add the PATH in the venv environment. py","path Threshold limits the captions applied by referring to the accuracy percentage of the tags found in the image. 1girl, animal ears, cat ears, cat tail, Tool Selection: Use the WD14 captioning tool within Kohya_ss for tagging your images. But who really cares what fingers Bruce Willis has or whether Angelina Jolie's fingers differ from Scarlett Johansson's?) On generative images it will Since most auto captioning of an anime character starts with "1girl/boy", the second prompt will be used as the triggering word, i. Low threshold (e. wd14_tagging_online. While current taggers like WD14 perform reasonably well, they often produce errors that require manual correction. Tagging Process. I wanted to make sure that "AllieDunn" wasn't her hair, but that she was the shape of her face and body, her nose and i did a detailed test, what i have found was: in the 1st execution, the wd14tagger-node runs (of course), after the 1st exection, if inputs don't change, in the 2nd execution, the wd14tagger-node re-runs, Specifically, annotations below a specified threshold are removed. It's got characters now, the HF space has been updated too. You can set your epoch to -1 and max steps to 3000. path. Supports tagging and outputting multiple batched inputs. ; caption: Images that contain the filter term in the caption . add_argument("--batch_size", type=int, threshold: The score for the tag to be considered valid; character_threshold: The score for the character tag to be considered valid; exclude_tags A comma separated list of tags that should not be included in the results; Quick interrogation of images is also available on any node that is displaying an image, e. v2,wd-v1-4-vit-tagger. validate import anime_completeness from tqdm import tqdm Saved searches Use saved searches to filter your results more quickly W00lyW0rldFlux-WD14. safetensors: Trigger word is "W00lyW0rld" W00lyW0rld a wizard casting a spell <lora:W00lyW0rldFlux-WD14:1. XellyWhy opened this issue Mar 15, 2023 · 4 comments Comments. since I {"payload":{"allShortcutsEnabled":false,"fileTree":{"library":{"items":[{"name":"ipex","path":"library/ipex","contentType":"directory"},{"name":"__init__. I think the default works well. Use. For this, I recommend that you use "Made out of wool". 6. --character_threshold CHARACTER_THRESHOLD I'm trying to train the style of my own 3D renders and afaik LORA is the way to go at this point. This notebook is open with private outputs. When captioning, it’s important to detail elements you wish to vary in the model’s responses. Downstream users are encouraged to use tagged releases rather than relying on the head of the repo. - AhBumm/caption_by_wd14-tagger-vlm-api OCR (Optical Character Recognition): It can extract text from images, including handwritten and machine-printed text. Copy link howyoungchen commented Apr 8, 2024. BLIP stands for Bootstrapping Language-Image Pre-training, which means that the model learns from noisy web data by filtering out the bad captions and keeping the good ones. Yona, 伊47, ヨナ) from the browser game and media franchise Kantai Collection. Final words Subject to change and updates. Saved searches Use saved searches to filter your results more quickly I also name the folder containing my training images and captions with the same keyword. Host and manage packages Contribute to exdysa/kohya-ss-sd-scripts development by creating an account on GitHub. 0. ')) import library. But I dont have a comparison for that yet. dirname(__file__), '. Closed howyoungchen opened this issue Apr 8, 2024 · 2 comments Closed A potential bug related to the WD14 Captioning GUI #2230. I threshold: The score for the tag to be considered valid; character_threshold: The score for the character tag to be considered valid; exclude_tags A comma separated list of tags that should not be included in the results; Quick interrogation of images is also available on any node that is displaying an image, e. Captioning Script Batch script. md at main · AhBumm/caption_by_wd14-tagger-vlm-api If you're using wd14 style captions, use shuffle captions with a keep of 1 (for your trigger). Host and manage packages Security. the trigger prompt "subjectname" for the specific subject followed by 3. 001 (iirc). --recursive : If specified, subfolders within the specified folder will also be processed recursively. For example, my Jade Lloyd lora often presents Jade without her signature platinum blonde hair. Skip to content. This is NOT a tutorial on Kohya Saved searches Use saved searches to filter your results more quickly Run make_captions. the class prompt "person", 4. a LoadImage, SaveImage Add the node via image-> WD14Tagger|pysssss Models are automatically downloaded at runtime if missing. asarray (padded_image, dtype = np. a LoadImage, SaveImage --threshold THRESHOLD. I have already threshold: The score for the tag to be considered valid; character_threshold: The score for the character tag to be considered valid; exclude_tags A comma separated list of tags that should not be included in the results; Quick interrogation of images is also available on any node that is displaying an image, e. Unfortunatly the automatic crop misses sometimes, but it helps a crazy amount. model: The interrogation model to use. Discover amazing ML apps made by the community. Number of reps do matter, especially if it's a small dataset like the one I had (15 images) - aim for ~1500-2500 total steps (reps * number of images, so in my case 100 reps) Resizing images to 512x512 has some positive impact so if it's not too painful, do that. For example a LoRA makes all ppl look similar. --wd_character_threshold On the first run, the model files will be automatically downloaded to the wd14_tagger_model folder (the folder can be changed with an option). Adding "sharp, clear" as Saved searches Use saved searches to filter your results more quickly Packages. --wd_threshold. If omitted, same as --thresh . \finetune\tag_images_by_wd14_tagger. 8. Skip to content threshold: The score for the tag to be considered valid; character_threshold: The score for the character tag to be considered valid; exclude_tags A comma separated list of tags that should not be included in the results; Quick interrogation of images is also available on any node that is displaying an image, e. 2. v3,wd-v1-4-convnext-tagger. 35) for Captions in image training can be thought of as variables influencing the model’s output. I then use (Kohya_ss-> Utilities tab -> Captioning -> Basic Captioning) to add a pre-caption and post-caption to all the pictures very quickly, based on outfit, style, etc . Labeling extension for Automatic1111's Web UI. By default it's set on 0. To set expectations right away, we added a subset of WD14 captions to all of our images at the beginning of those captions. 6854. This is because WD14 tagged her with "blonde hair" and I used that phrase in my prompt. I do all my captioning manually and I recommend you do that too, especially if you want to train a character/person. Additionally, to eliminate redundant, overlapping annotations, the authors use non-maximum suppression, which suppresses or eliminates annotations that have lower confidence scores and retains those with higher scores. Landmark detection: It can detect and identify over a thousand landmarks, such as the Eiffel Tower or the Empire State Building. WD14 captioning instead of the deepdanbooru caption was used, since the former one will not crop/resize the images. Add a unique prefix (token) and use the default {"payload":{"allShortcutsEnabled":false,"fileTree":{"kohya_gui":{"items":[{"name":"__init__. 75-0. \python_embeded\python. character_indexes] if character_mcut_enabled: character_probs = np. It is integrated in kohya_ss under Utilities-> WD14 Captioning. This is because wd14 tagged it, removing that aspect of her from the trigger. Captions: Generate captions using Kohya_ss Utilities -> Captioning. If you have an NVIDIA GPU you can use this argument to use it sice it will be much faster. py in the finetune folder. To review, open the file in an editor that reveals hidden Unicode characters. Make sure to select Use onnx to take advantage of GPU acceleration If you're not training with popular anime characters, put the Character threshold at 1 and experiment with different levels of General threshold (higher value means less tags, but also fewer false positives). If omitted, same as --thresh. Choose the folder "img" in the "image folder to caption" To make things easier, just use WDTagger 1. v2,wd14-convnext. At very least you It contains 1. Threshold are usually set to 0. Find and fix vulnerabilities For Tagging I used the training word, Blip captioning, then wd14 tagger that is in kohya, to append the tags. One character, few costumes (2-3) 40 of the "main" costume. In the GUI - go to Utilities Tab > Captioning > BLIP Captioning. 35--general_threshold GENERAL_THRESHOLD. So for example, if you're going to have 10 repeats of your dataset, you'd name your folder 10_yourwifesname. --character_threshold: Confidence threshold for character tags. articles on new photogrammetry software or techniques. more replies. Open up Kohya SS and go to "Utilities" -> "Captioning" -> "WD14 Captioning" To get better person/facial recognition increase the "character threshold" to 0. 4 designed for captioning datasets using booru tags. Now timm compatible! Load it up and give it a spin using the canonical one-liner! Exported to msgpack for compatibility with the JAX-CV codebase. Suggestions cannot be applied while the pull request is closed. ai/grants T So recently I have been training a character LoRA, I saw some posts stating that "the tags should be as detailed as possible and should includes everything in the image". 2. Show frequency of tags for images. The captioned image file output is . I trained this because I was having much difficulty in recreating Yona's accessories and outfit, even when using models trained on sets with her in it (she has too many alternate outfits). cd C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-WD14-Tagger or wherever you have it installed; Install python packages. Find and fix vulnerabilities Created by: Milan Kastenmüller: Hi, created this advanced captioniong workflow and system instructions to generate Captions for Flux for image batches. txt Change input to the folder where your images are located. e. Links to different 3D models, images, articles, and videos related to 3D photogrammetry are highly encouraged, e. txt file. More replies. After doing that, Yes, on the one hand all characters in the generated images will get the same hands. I have a set of 14 images with width of 512px and variable height. Captioning: Click on Caption Images to start the # それ以降はタグなのでconfidenceがthresholdより高いものを追加する help="force downloading wd14 tagger models / wd14 taggerのモデルを再ダウンロードします") parser. Now I know that captioning is a crucial part here, but havin around 300 training images I don't really want to do it by hand :D I tried using the wd14 tagger, but the results seem very anime-centered (obviously). One character, one costume. 35) Changed --thresh to --general_threshold (default = 0. This suggestion is invalid because no changes were made to the code. Captions don't matter in Kohya SS TI generation - don't waste your time. For a single character, it's a tradeoff between flexibility and fidelity. It produces tags like 1girl, which if used in Add the node via image-> WD14Tagger|pysssss Models are automatically downloaded at runtime if missing. You can 100% make a character lora without using an activator tag. https://github. 1/Dataset v2: Re-exported to work around an ONNXRuntime v1. A Python base cli tool for tagging images with WD14 models and VLM API. Update Note. a LoadImage, SaveImage import argparse import csv import glob import os import sys from PIL import Image import cv2 from tqdm import tqdm import numpy as np from tensorflow. float32) image_array = image_array [:,:,::-1] return np. Adafactor has a variable learning rate; refer to the adafactor docs if you'd like to increase it from . the general type of image, a "close-up photo", 2. 85) for object/character training. txt with identical filename as the source image. Useful for multi-concept or multi-directories training. v1,wd14-convnext. It's not written to a file that you can see. WD14 captioning gives better results with this one. Contribute to toriato/stable-diffusion-webui-wd14-tagger development by creating an account on GitHub. We automatically curate a training Captions in these datasets frequently fail to capture essential elements This is a community to share and discuss 3D photogrammetry modeling. 5 (with different settings) I was able to get exactly what I was looking for. 35 # Character threshold debug = false # Debug mode threshold: The score for the tag to be considered valid; character_threshold: The score for the character tag to be considered valid; exclude_tags A comma separated list of tags that should not be included in the results; Quick interrogation of images is also available on any node that is displaying an image, e. I am, however, taking notes of all my captioning and the effects they have on the models in my head so I can work on the experimental design of my captioning study. I get this when I attempt to use WD14 Captioning: Cap When i try to caption images with WD14 I have problem like above. Since Flux uses two text encoders Clip L (77 tokens) and T5 (256 tokens) I implemented two caption streams. Characters from Genshin Impact Sangonomiya-Kokomi / 珊瑚宫心海 Brief intro WD14 captioning instead of the danbooru caption was used, since the former one will not crop/resize the images. Saved searches Use saved searches to filter your results more quickly Was about to ask the same, and also if captioning will have any affect on bleeding, where a trained consept or thing bleed to a currently used checkpoint causing it to loose some of its original training. It is easy to make, and allows the lora to be flexible, but it will lose some "defaults" you might expect it to have. Directory Selection: Choose the folder containing your images. like 82 The successor of WD14 tagger. Character tags can be regulated by specifying --character_threshold parameter (default = 0. As a result, we got an interesting model that was reacting to those additional tags. Collection of Images: Gather high-quality images of your character/style. 3771, F1 = 0. This tool offers highly accurate and contextually relevant image tagging for your projects. For captions, we'll use BLIP2 and for tags we'll use WD14 captioning (it should be called "tagging" but Kohya_ss calls it "captioning"). Additionally, the Smart Pre-process extension uses CLIP (link) to generate additional tags for the WD14 captioning instead of the danbooru caption was used, since the former one will not crop/resize the images. since I don't like to have a very long and sometimes inaccurate caption for my training data. ; threshold: The score for the tag to be We’re on a journey to advance and democratize artificial intelligence through open source and open science. This version of the python tag_images_by_wd14_tagger. Open Captions vs. Closed XellyWhy opened this issue Mar 15, 2023 · 4 comments Closed Out of memory when using WD14 captioning #384. append(os. a LoadImage, SaveImage character_tag_expand = false # Expand tag tail parenthesis to another tag for character tags. since I don't like to have a very from imgutils. 0005 Network Dim: 2 Network Alpha: 16 Optimizer: AdamW8Bit. a LoadImage, SaveImage Use with library. Just because you have 200 pictures on your folder won't make it better, pick the best 40-50 mixing as many angles as possible. Comments. 35) Added --undesired_words args to not add JoyCaption-NoTrigger Steps: 1050 Resolution: 512 Batch Size: 2 Unet LR: 0. A Script to combine the WD14 Captions and BLIP captions generated by Kohya_ss MiaoshouAI Tagger for ComfyUI is an advanced image captioning tool based on the Microsoft Florence-2 Model Fine-tuned to perfection. About. Setup. 15, character_thresh) This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. In short, the problem is that the PATH set in venv does not include the path to the cudart64_110. py blip_dir wd14_dir output_dir. - comfyorg/comfyui-wd14-tagger Again, IIRC, Kohya does this behind the scenes from the metadata file used for fine tuning. This was trained on complex captions with very long descriptions, without using a trigger word to activate the character. Anything V5/Ink - Anything V3 was the model that started it all for anime style in AUTO1111, this is next version from the same author. This version used the recommended settings from the CivitAI Flux Training Documentation. 7. The lower the number, the more likely it is that characters unrelated to the image in question may appear. Sign in Product GitHub Copilot. e. 85--gpu. --wd_tags_frequency. Outputs will not be saved. I've tried different optimizers (Lion and Prodigy) and that looked awful. - caption_by_wd14-tagger-vlm-api/README. Navigation Menu Toggle navigation. 0> All other models do not require a trigger word, but you still need to "unlock" the knowledge of the model by describing the effect in natural language. For example, if they are located in a folder called images on your desktop: Saved searches Use saved searches to filter your results more quickly The extension gives better options for configuration and batch processing, and I've found it less likely to produce completely spurious tags than deepdanbooru. 35. `chara_name_(series)` becomes `chara_name, series` character_threshold = 0. Discover amazing ML apps made by the community usage: run. Since most auto captioning of an anime character starts with "1girl/boy", the second prompt will be used as the triggering word, i. Copy link XellyWhy commented Mar 15, 2023. In this article, I will share a bit more of the process behind each version, and have some comparison pictures. Step 3: Captioning. com/models/628865/sotediffusion-v2 Anime finetune of Würstchen V3. Reply reply More replies More replies. 5GB vram and swapping refiner too , use --medvram-sdxl flag when starting LoRA model for recreating the features of I-47 (a. You can use the blip auto captioner in kohya, it works well to caption and go from my own personal experience. 17. "Character" defines the valid score for character tags (default is 0. I tried to solve this problem with os. Windows Standalone installation character_threshold: The score for the character tag to be considered valid; exclude_tags A comma separated list For imitating the style of prolific visual novel SD artist Komowata Haruka. So feel free to give me some pointers on training a character/person (and maybe my settings will help someone else). Learning/ Warning: While WD14 produces nicer tags, it is more geared towards anime. 5; DeepDanbooru. It will work a lot better. Set --debug or verbose_logging in 4. In the context of image captioning If training a character LoRA change the Character Threshold setting to 0. A potential bug related to the WD14 Captioning GUI #2230. 2 of the Web Content Accessibility Guidelines (WCAG): Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly P=R: threshold = 0. a LoadImage, SaveImage Hey, so I am trying to get Kohya SS to cpation my images automatically, but every time I run the WD14 Captioning, the cmd window shows me this error: Traceback (most recent call last): File "E:\. This is an example for my captioning: txt file caption: "nest2hero person character holding a flashlight is walking out of a door, front view, full body shot, flashlight spotlight, n3st style" Saved searches Use saved searches to filter your results more quickly I've used this program successfully before, but it suddenly decided not to tag anything, despite the fact that I didn't make any changes to it. Threshold of confidence to add a tag to caption, default value is 0. python finetune\make_captions. ; threshold: The score for the tag to be This notebook is open with private outputs. --recursive: If specified, subfolders within the specified folder will also be It's not that hard to combine wd14-captions with any other natural language model. caption:cat will match images that have cat anywhere in the caption. Share Add a This notebook is open with private outputs. md After much research around this repository for people matching my issue, it appears there's only been one other person and they fixed it with the method which removes all py packages (here), and I'm not looking to do this. help = "threshold of confidence to add a tag for character category, same as --thres if omitted / characterカテゴリのタグを追加するための確信度の閾値、省略時は --thresh と同じ", Similar article but with a character. bug Something isn't working. pulz iauwwmeq urljau vkxbto gietz wriw mqfxwbl zuvb unia fls