clip-interrogator
node
clip-interrogator | node | |
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27 | 934 | |
2,491 | 103,970 | |
- | 0.9% | |
4.8 | 9.9 | |
3 months ago | 5 days ago | |
Python | JavaScript | |
MIT License | GNU General Public License v3.0 or later |
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clip-interrogator
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AI Horde’s AGPL3 hordelib receives DMCA take-down from hlky
It's image -> words, the inverse of stable diffusion.
see: https://github.com/pharmapsychotic/clip-interrogator
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What are the "fastest" image classifiers I can use?
I have been using this on a CPU https://github.com/pharmapsychotic/clip-interrogator, I tried a lot of pre-trained models combinations, all are slow.
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I keep trying to recreate this scene as a painting. But the AI doesn't get it. How do I describe that the man is reaching behind to stab a lion in the head, as the lion has pounced and is biting the rear of the horse. The AI always redraws this without the lion or not how it is shown here.
I'm addition to controlnet, try the clip interrogator to see how clip would describe the image and then use that language in your prompt. You can try the whole image or cropped portions. There is a colab available if you don't want to run it locally.
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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.
- Midjourney Image2text
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Tech pioneers call for six-month pause of "out-of-control" AI development
If you are interested in this, definitely see if you can get some of the OSS models running and get a feel for how to interrogate them. Maybe see if you can get some mileage out of the CLIP-Interrogator
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ChatGPT 3.5 vs 4 & Stable Diffusion
Next, I used the lists of artists, flavors, mediums, movements, and negatives that are used for the clip-interrogator and pasted these in the chat and told the bot to categorize them accordingly. As you can only paste up to certain characters in single message (4-5K in 3.5 and 6-8K in 4).
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Any idea of what type of prompt has been used to make this?
Here’s the specific one I’m using (runs in browser)
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CLIP Interrogator 2 locally
I really enjoy using the CLIP Interrogator on huggingspaces, but it is often super slow and sometimes straight up breaks. Now it is possible to locally install it, https://github.com/pharmapsychotic/clip-interrogator but I don't know if its viable to run on a laptop with 6gb videocard anyway.
node
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Node.js (version 10 or higher)
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What are some alternatives?
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
Svelte - Cybernetically enhanced web apps
laion-datasets - Description and pointers of laion datasets
widevine-l3-decryptor - A Chrome extension that demonstrates bypassing Widevine L3 DRM
dalle-2-preview
source-map-resolve - [DEPRECATED] Resolve the source map and/or sources for a generated file.
stable-diffusion-artists - Curated list of artists for Stable Diffusion prompts
sharp-libvips - Packaging scripts to prebuild libvips and its dependencies - you're probably looking for https://github.com/lovell/sharp
hordelib - A wrapper around ComfyUI to allow use by the AI Horde. [UnavailableForLegalReasons - Repository access blocked]
nodejs.dev - A redesign of Nodejs.org built using Gatsby.js with React.js, TypeScript, and Remark.
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
hashlips_art_engine - HashLips Art Engine is a tool used to create multiple different instances of artworks based on provided layers.