BLIP
text2image-gui
BLIP | text2image-gui | |
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14 | 23 | |
4,278 | 903 | |
2.7% | - | |
0.0 | 9.3 | |
7 months ago | 4 months ago | |
Jupyter Notebook | C# | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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BLIP
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MetaCLIP – Meta AI Research
I suggest trying BLIP for this. I've had really good results from that.
https://github.com/salesforce/BLIP
I built a tiny Python CLI wrapper for it to make it easier to try: https://github.com/simonw/blip-caption
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Is there a website where you can upload a photo and get the description in a paragraph?
You can download the source and run it yourself from here: https://github.com/salesforce/BLIP
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Stable Diffusion v2-1-unCLIP model released
Then there's also BLIP (Bootstrapping Language-Image Pre-training).
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GPT-4 shows emergent Theory of Mind on par with an adult. It scored in the 85+ percentile for a lot of major college exams. It can also do taxes and create functional websites from a simple drawing
Or BLIP
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meme
GitHub - salesforce/BLIP: PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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Object Recognition for Photo Metadata
From what I understand, what's most important to you is having a model that's already trained on something, rather than the architecture. Yolo is probably fine, as would be some of the older ones. You should be able to find a model that's been pretrained on COCO - you can look at see what classes are included. I don't know if there are other broadly trained models available that will serve your purpose. What I'd do is just run your picture through a COCO trained object detection model and see if the annotations do what you want.
Though backing up a bit, there are also image captioning models that may better do what you want to do for organizing your photos. I'm not really familiar with any - though I did come across BLIP the other day but I haven't used it: https://github.com/salesforce/BLIP
This may be a better way to get at what you want
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I have a problem with the "interrogate" function of Automatic1111's fork. Can someone help me?
git clone https://github.com/salesforce/BLIP.git repositories/BLIP
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Stable-diffusion in Nix
# Copy models as described in README cp ~/Downloads/model.ckpt . cp ~/Downloads/GFPGANv1.3.pth . # Clone other repos as mentioned in README mkdir repositories git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion git clone https://github.com/CompVis/taming-transformers.git repositories/taming-transformers git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer git clone https://github.com/salesforce/BLIP.git repositories/BLIP export NIXPKGS_ALLOW_UNFREE=1 nix-shell default.nix pip install torch --extra-index-url https://download.pytorch.org/whl/cu113 # Also from linux instructions. Can probably be added to default.nix python webui.py
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My easy-to-install Windows GUI for Stable Diffusion is ready for a beta release! It supports img2img as well, various samplers, can run multiple scales per image automatically, and more!
Also check img2text (basically to prompt): https://github.com/salesforce/BLIP
- [D] Author Interview - BLIP: Bootstrapping Language-Image Pre-training (Video)
text2image-gui
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Why does Stable diffusion ""nmkd"" not see .safetensors format?
I read github
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I mad a python script the lets you scribble with SD in realtime
With the AMD guide
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'Everyone and Their Dog is Buying GPUs,' Musk Says as AI Startup Details Emerge
You can find NMKD here, and the readme should be quite simple to get it to work on your own machine for a basic SD setup: https://github.com/n00mkrad/text2image-gui
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I get ".safetensors" instead of ".ckpt" when downloading models?
So assuming you are suing the "NMKD" GUI i found an existing issue on the github page: The Issue.
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ELI5: Can Someone Give Me Some Simple Steps To Get Started On A Local Install?
Source code is available here if you want to check that out, the download for the precompiled program is on itch.io.
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HELPP sorry losing my mind here (i have a mx150 gpu which IS cuda compatible) also after that last line nothing happens!
The 1024x572 was from a comment talking about NMKD ,that mentions using OptimiseSD may run on less than 4GB.
- Looking for download link to NMKD 1.7.* for a friend anyone have one?
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So i wanted to ask it this a good requirements to download SD or I can't
Be sure to read the system requirements and the special AMD GPU info page.
- Update 1.7.0 of my Windows SD GUI is out! Supports VAE selection, prompt wildcards, even easier DreamBooth training, and tons of quality-of-life improvements. Details in comments.
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Dreambooth in Automatic1111 or locally?
Easiest way I have seen so far, working well for me. https://github.com/n00mkrad/text2image-gui/blob/main/DreamBooth.md
What are some alternatives?
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
dreambooth-gui
a-PyTorch-Tutorial-to-Image-Captioning - Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
ai-notes - notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
stable-diffusion-webui - Stable Diffusion web UI
virtex - [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
gimp-stable-diffusion
nix-stable-diffusion - Nix-friendly fork of: Optimized Stable Diffusion modified to run on lower GPU VRAM
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
stable-diffusion