pyllama
clip-interrogator
pyllama | clip-interrogator | |
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5 | 27 | |
2,789 | 2,491 | |
- | - | |
5.0 | 4.8 | |
6 months ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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pyllama
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Tech pioneers call for six-month pause of "out-of-control" AI development
Got u fam
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Alpaca 7B Training - $75/Hour --> Bay Area? [P]
I am the author of pyllama https://github.com/juncongmoo/pyllama
- Integrate LLaMA into python code
- Together Releases The First Open-Source ChatGPT Alternative Called OpenChatKit
- pyllama - I just published a python library for LLaMA with Single GPU inference code
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.
- -New Monthly Event!-
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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.
What are some alternatives?
playground - Play with neural networks!
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
laion-datasets - Description and pointers of laion datasets
tortoise-tts-fast - Fast TorToiSe inference (5x or your money back!)
dalle-2-preview
llm - An ecosystem of Rust libraries for working with large language models
stable-diffusion-artists - Curated list of artists for Stable Diffusion prompts
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
hordelib - A wrapper around ComfyUI to allow use by the AI Horde. [UnavailableForLegalReasons - Repository access blocked]
dspy - DSPy: The framework for programming—not prompting—foundation models