image2dsl
MiniGPT-4
| image2dsl | MiniGPT-4 | |
|---|---|---|
| 1 | 37 | |
| 11 | 24,961 | |
| - | 1.1% | |
| 5.3 | 9.1 | |
| about 1 year ago | 24 days ago | |
| Python | Python | |
| - | BSD 3-clause "New" or "Revised" License |
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image2dsl
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Looking for a pre trained food recognition model
Sorry to be mean here, but I think your idea is doable. Basically, you can build an image to category model and then feed its output to a fine-tuned LLama. You can have a look at one of my experiments for image to text-> https://github.com/mzbac/image2dsl
MiniGPT-4
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"Building Machines That Learn and Think Like People", 7 Years Later
I just think the tech has been out for so long it's not as big of a deal. Mini-Gpt4 has been out for 6 months! Of course the descriptions aren't exactly gpt-4 grade, but with mistral 7b being used as the language model instead of llama 7b, the reasoning ability will improve noticeably.
[1] https://github.com/Vision-CAIR/MiniGPT-4
- Minigpt4 Inference on CPU
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Multimodal LLM for infographics images
Isn't there only two open multimodal LLMs, LLaVA and mini-gpt4?
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Ai trained on photos
For LLM visual instruction, you can use LLaVA, LaVIN, or MiniGPT-4.
- CLIP and DeepDanbooru Alternatives For Prompt Generation [Relevant Self-Promotion]
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Looking for a pre trained food recognition model
Please read the rules before posting. If you want a model for visual instruction, use LLaVA, LaVIN, or MiniGPT-4.
- Minigpt-4 (Vicuna 13B + images)
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Upload a photo of your meal and get roasted by ChatGPT
So we use MiniGPT-4 for image parsing, and yep it does return a pretty detailed (albeit not always accurate) description of the photo. You can actually play around with it on Huggingface here.
We use MiniGPT-4 first to interpret the image and then pass the results onto GPT-4. Hopefully, once GPT-4 makes its multi-modal functionality available, we can do it all in one request.
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Give some love to multi modal models trained on censored llama based models
But I would like to bring up that there are some multi models(llava, miniGPT-4) that are built based on censored llama based models like vicuna. I tried several multi modal models like llava, minigpt4 and blip2. Llava has very good captioning and question answering abilities and it is also much faster than the others(basically real time), though it has some hallucination issue.
What are some alternatives?
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
LaVIN - [NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
BooruDatasetTagManager
bark - 🔊 Text-Prompted Generative Audio Model
mini-agi - MiniAGI is a simple general-purpose autonomous agent based on the OpenAI API.
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
minigpt4-batch - Use miniGPT-4 batch to generate captions for a lot of images! You should be able to create the best captions you always wanted!
sd-webui-lobe-theme - 🅰️ Lobe theme - The modern theme for stable diffusion webui, exquisite interface design, highly customizable UI, and efficiency boosting features.