CogVLM
krita-ai-diffusion
| CogVLM | krita-ai-diffusion | |
|---|---|---|
| 16 | 11 | |
| 5,193 | 4,732 | |
| 10.2% | - | |
| 9.0 | 9.8 | |
| 30 days ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CogVLM
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Mixtral: Mixture of Experts
CogVLM is very good in my (brief) testing: https://github.com/THUDM/CogVLM
The model weights seem to be under a non-commercial license, not true open source, but it is "open access" as you requested.
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IT Employment Grew by Just 700 Jobs in 2023, Down From 267,000 in 2022
increasing growth most places in world
https://twitter.com/elonmusk/status/1743028102446408026
heres a total feature map of what was released in 2023:
https://twitter.com/enriquebrgn/status/1740950767325024387
I think thats definitely a signal that the B and C teams werent needed, considering they cut 90% of staff LOL.
As for the bots, AI is making it easier than ever to bypass those systems. CogVLM is just sitting there menacingly on github https://github.com/THUDM/CogVLM
- Show HN: I built an open source AI video search engine to learn more about AI
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CogAgent-18B – visual-based GUI Agent capabilities
Jump to heading for benchmarks and examples: https://github.com/THUDM/CogVLM/tree/main?tab=readme-ov-file...
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What do you think. When should we expect the next SDXL version?
Honestly at this point there is no need for human for captioning except maybe for NSFW content. Img2text is just good enough for nearly all images. GPTVision or open source equivalent (like CogVLM https://github.com/THUDM/CogVLM ) are just good enough.
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shinning the spotlight on CogVLM
A core Llama.cpp contributor, named cmp-nct, discovered stumbled upon what might be the next leap forward for vision/language models. CogVLM (which uses a Vicuna 7B language model combined with a 9B vision tower) excels particularly in OCR (Optical Character Recognition), detail detection, and minimal hallucinations. It effectively understands both handwritten and typed text, context, fine details, and background graphics. It even provides pixel coordinates for small visual targets. CovVLM surpasses other models like llava-1.5 and Qwen-VL in performance.
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Image-to-Caption Generator
https://github.com/THUDM/CogVLM (really impressive)
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Gemini: Google's most capable AI model yet
I'm researching using LLMs for alt-text suggestion for forum users, can you share your finding so far?
Outside of GPT-4V I had good first results with https://github.com/THUDM/CogVLM
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Open-source LLMs with Image Interpretation
I've got some decent results with CogVLM. Resolution kinda sucks at 490x490, though.
- FLaNK Stack Weekly for 27 November 2023
krita-ai-diffusion
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A quick Krita/ComfyUI LCM live painting tip
I have been playing a lot with Krita's SD plugin https://github.com/Acly/krita-ai-diffusion - that uses ComfyUI as it's API source.
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My life have changed - started using Krita Ai diffusion for my sketches to finish them
Which plugin are you using? This https://github.com/Acly/krita-ai-diffusion
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With the recent developments, It looks like AI art is finally beginning to evolve in the right direction
You could try the Krita plugin, so you have access to all those features: https://github.com/Acly/krita-ai-diffusion
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AI'd my loadouts
I dunno what they used, but Krita with Krita AI is pretty easy to set up and use.
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Easy Stable Diffusion XL in your device, offline
Also just Krita with the diffusion AI plugin: https://github.com/Acly/krita-ai-diffusion
- FLaNK Stack Weekly for 27 November 2023
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I just installed Krita, is there anything in particular I need to know?
You should install krita-ai-diffusion https://github.com/Acly/krita-ai-diffusion This gives Krita steroids...
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Krita AI Diffusion
It was more like a case of the author not having AMD hardware to test his automated installer: https://github.com/Acly/krita-ai-diffusion/issues/76
- Inpaint & Outpaint in Krita - any resolution, no prompt required (New plugin)
What are some alternatives?
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
stable-diffusion-krita-plugin
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
Fooocus - Focus on prompting and generating
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
krita-label-box - Krita plugin to add a box to choose color labels in the layer dockers.
Qwen-VL - The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
vimGPT - Browse the web with GPT-4V and Vimium
krita-apply-mask - A krita plugin. Adds a new action to apply masks and layer styles while keeping layer opacity intact
uform - Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️