The Important part is they made it completely Open Source Also has a step-by-step guide on how they approached this problem, created the dataset and fine-tuned the model Check it out here! https://
github.com/timothybrooks/
instruct-pix2pix
…
MULTIMODAL AI
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Open Source Instruct-Pix2Pix Model with Complete Guide
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InstructPixPix: Fine-tuned Stable Diffusion Model for Image Generation
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You might have seen and are aware of the Stable Diffusion model that generates images through text InstructPixPix is just trained by fine-tuning the StableDiffusion model.
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InstructPix2Pix Model Training Dataset Requirements and Composition
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But to train any model Dataset is required and for this model, a dataset should contain 1. An Input Image
2. An Editing Instruction
3. An output-edited image All these 3 combine into a single Training example and the InstructPix2Pix trained on 454,445 such examples. -
Image Editing Model Follows Written Instructions for Output
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Here's how it works in short: Input: Given an image and a written instruction that tells the model what to do Output: The model follows these instructions to edit the image. Checkout the below example:
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InstructPix2Pix: AI Image Editing Through Written Instructions
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Editing images just by giving written instructions to an AI model. Yes, InstructPix2Pix which is an instruction-based image editing model does exactly the same Read more
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Hand-shaking Image Generation Expected to Be Solved Soon
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To be clear: I thoroughly expect hand-shaking image generation to be solved in a few months
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Stable Diffusion terms full sentence prompts as ‘boomer prompts’
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TIL in stable diffusion circles, where long lists of keyword tags are the norm, prompts with full English sentences are called "boomer prompts"
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InstructPix2Pix Chatbot integration for creative AI applications
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Yeah would be fun to have https://
huggingface.co/spaces/ysharma
/InstructPix2Pix_Chatbot
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Filtering and Distillation Techniques for Vision-Language Models
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Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training Radenovic et al.: https://
arxiv.org/abs/2301.02280 #ArtificialIntelligence #DeepLearning #MachineLearning
