Open AI Glide: Text-to image Generation Explained with code| Python|[phone] for query|

Hi guys,

In this video, we have explained Open AI Glide, OpenAI is an Artificial Intelligence research and deployment company. We’ve used Open AI GLIDE to generate images from the given text. GLIDE stands for Guided Language-to-Image Diffusion for Generation and Editing. It is a 3.5 billion parameter text-to-image generation model and has trained a smaller model at 64x64 resolution on a filtered dataset and released the code and weights. It is designed to generate photorealistic images using text captions as a prompt. The model is trained on the same dataset and the same model architecture as DALL-E.

Install the package:

After that, a CLIP(Contrastive Language-Image Pre Training) is used to pre-train the image encoder and the text encoder to predict which images had paired with which text. It is a neural network that builds on zero-shot transfer, natural language supervision, multimodal training. The model is trained on 400,000,000 (image, text) pairs.

CLIP model consists of two sub-models:
• Text encoder: The text encoder embeds the text into mathematical space.
• Image encoder: The image encoder embeds the image into mathematical space.

CLIP model is apply to nearly arbitrary visual classification tasks. It has encoded into a sequence of K tokens and fed the tokens into a transformer model and the score reflecting how close is an image to the text. The Text-to-image generation has been one of the most active and exciting Artificial Intelligence fields.

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[sametbayraktar]

I have a question while downloading this, is it downloading it to our own computer? Because when we want to run this project, we will have to download it constantly.

[sametbayraktar]

name 'create_clip_model' is not defined how can ı fix this problem ?

[aqibrehmanpirzada]

Can I use my own dataset for this model