What Are Google DeepMind Imagen And Imagen 2: Everything You Need To Know So Far
What is Google Imagen?
Imagen is a Generative AI text-to-image diffusion model model similarly to OpenAI's DALLE-2, the Generative AI model which is used for generating images. Imagen creates photorealistic images from input text and it the most recent model is the Imagen 2 which is available in Google's Gemini AI model.
How Does Google Imagen Work?
Imagen is a text-to-image diffusion model that combines the power of transformer language models with high-fidelity diffusion models to deliver an unprecedented degree of photorealism and a deep level of language understanding in text-to-image synthesis. Imagen consists of a text encoder that maps text to a sequence of embeddings and a cascade of conditional diffusion models that map these embeddings to images of increasing resolutions. It uses a frozen T5-XXL encoder to map input text into a sequence of embeddings and a 64x64 image diffusion model, followed by two super-resolution diffusion models for generating images. Imagen's unique approach to text-to-image synthesis has led to remarkable achievements. It has set a new state-of-the-art FID score of 7.27 on the COCO dataset, a standard benchmark for evaluating text-to-image models. And it achieved this feat without any training on the COCO dataset, a testament to its robustness and versatility.
What Can Google Imagen Do?
Imagen demonstrates exceptional capabilities in processing and understanding text prompts and inputs. The following are the capabilities of the Imagen model:
- Image Generation: Imagen can generate images using text prompts
- Image Upscale: Imagen can upscale existing, generated, or edited images.
What Are The Limitations of text-to-image Models ?
There are several ethical challenges facing text-to-image research broadly. The following are some of the challenges of Google Imagen.
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Datasets. The data requirements of text-to-image models made researchers to rely heavily on large, mostly uncurated, web-scraped datasets.
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Risk Of Misuse. The potential risks of misuse raise concerns regarding responsible open-sourcing of code and demos. At the time Google Imagen is not opensource and is not accessible to public.
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Content There is a risk that during the training of the text-to-image models the datasets may contain a wide range of inappropriate content including pornographic imagery, racist slurs, and harmful social stereotypes. As such there is risk of generating harmful content.
What Is Google DeepMind Imagen 2?
Imagine 2 is Google's most advanced text-to-image diffusion model that can deliver high-quality and photorealistic images built by Google's generative AI research company DeepMind. Imagen 2's technology is applied in Google Gemini AI, Search Generative Experience and in an experimental application called ImageFX.
What Can Google DeepMind Imagen 2 Do?
- Image Generation. Imagen 2 can generate more realistic images than Google's Imagen 1.
- Advanced Impainting. Imagen 2 has the capabilities like 'inpainting' and 'outpainting'. By providing a reference image and an image mask, users can generate new piece of image content directly into the original image with a technique called impainting which consists of replacing in the original image the highlighted pieces by the mask. Imagen 2 can also extend the original image beyond its borders with outpainting.
- Reference Style. Imagen 2 can condition images generation by providing reference style images in combination with a text prompt generating new imagery that follows the same style.
How To Use Google DeepMind Imagen 2?
Imagen 2 Generative AI is available in Google Gemini and to developers and Google Cloud customers via the Imagen API in Google Cloud Vertex AI.