Draft:ImagineMe
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|  |
| Developer(s) | Xamves |
|---|---|
| Initial release | October, 2022 |
| Stable release | 2.0
|
| Written in | Python |
| Type | Text-to-image model |
| Website | imagineme |
ImagineMe is a generative artificial intelligence (AI) deep learning platform and service created and hosted by the Rotterdam, The Netherlands - based independent research company Xamves.
ImagineMe’s software creates images based on text descriptions using a text-to-image model. Along with other companies in the market, such as Midjourney, OpenAI's DALL-E, and Stable Diffusion, it uses generative adversarial network (GAN) technologies.
ImagineMe aims to democratize AI art, making it more accessible to a wider audience. The creators have invested significant efforts into developing a user-friendly platform that equips individuals with the necessary tools to unleash their creativity.
History
[edit]The developer of the ImagineMe platform, Xamves, was founded in 2018 by students from the Technical University Delft’s Faculty of Computer science and Engineering. The ImagineMe platform was launched in October 2022 with model version v1.0. During the following year, the company worked on improving its algorithm, and in September 2023, the platform announced a new model version, v2.0.
In the new version, the algorithms for creating photorealistic images were improved, and two new graphic editors, "Upscale" and "Canvas," were added to the platform. The "Upscale" editor uses the "Regenerative" option to upscale an image and add details up to 4x, creating higher-resolution images from a basic image of 896 x 640 pixels up to 3584 x 2560 pixels. "Canvas" is a composition tool that allows the creation of layers and the editing of different images on one canvas.
ImagineMe was established with the primary goal of bridging the gap between AI technology and artistic expression, recognizing that everyone should have the opportunity to express their creativity through art by leveraging the power of AI.
Features and Functionality
[edit]ImagineMe introduces a novel AI system that enables users to generate remarkable art of themselves based on simple text descriptions (text-to-image technology). The platform empowers users to create personalized art, allowing them to visualize themselves in various scenarios limited only by their imagination. With ImagineMe, users can bring their imaginations to life and create art that reflects their unique visions. This revolutionary process makes it easier and more affordable than ever to create unique artwork through ImagineMe. The platform allows users to effortlessly produce art of themselves, enabling a seamless and magical artistic experience. The platform's capability to generate personal art in a secure manner is achieved through the creation of private AI models for each user. The models are trained using NVIDIA GeForce 40 series GPUs. These models establish a connection between the user's name and their appearance, ensuring accurate representation. To initiate model creation, users need to upload 10-20 diverse, high-quality images of themselves. A deep learning model training process typically takes up to 24 hours, although it can be completed faster in certain instances.
Once the model training is complete, users can access it through the platform's prompt. The text-to-image sampling script within ImagineMe consumes a text prompt along with assorted option parameters covering sampling types. The script outputs an image file based on the model's interpretation of the prompt engineering.
By simply typing a text prompt, users can witness the generation of corresponding images on their screens. While the initial generation may take a few minutes, subsequent generations are significantly faster, with results appearing in just 10 seconds.
Team and Expertise
[edit]The ImagineMe team is composed of dedicated and passionate individuals committed to driving innovation through transformative technologies. The team boasts a diverse group of young professionals, mostly graduates from the Technical University Delft, with expertise spanning various domains such as computer science, tech-based entrepreneurship, complex system engineering, business administration, and design. Their collective vision centers on leveraging their skills and knowledge to create a positive impact on the world through the advancement of AI art.
Applications
[edit]ImagineMe offers a wide range of potential applications that can be explored by its users. Some key applications include:
1. Personalized Art & Avatars: Users can generate unique and creative images for personal use using text descriptions. This feature allows for the creation of a wide range of concepts, from imaginative art to professional-looking realistic photos.
2. Virtual Try-On: The platform's personalized text-to-image AI technology can be employed to enable virtual try-on experiences for clothes, makeup, or other products. By generating images of the products on the user's own body, the platform provides an immersive and personalized try-on experience.
3. Personalized Marketing: Businesses can harness ImagineMe's personalized text-to-image AI to create customized advertisements or marketing materials that incorporate the customer's image or likeness. This approach enhances personalization and engagement in marketing campaigns.
Community and Innovation
[edit]The ImagineMe community continually surprises the platform's developers with novel and creative applications, pushing the boundaries of how the technology can be utilized. Whether expanding on existing applications or discovering entirely new uses for the platform, the community showcases the versatility and potential of ImagineMe. The platform's commitment to making AI art accessible and user-friendly has garnered widespread interest and adoption, solidifying its position as a transformative force in the world of AI-driven art.
See also
[edit]• Generative Adversarial Networks (GANs)
References
[edit]1. The Technical University Delft (The Netherlands) Faculty of Computer Science and Engineering
2. Schumacher, Devin (2023) «ImagineMe»
3. Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer (2022) «High-Resolution Image Synthesis with Latent Diffusion Models»
4. Deepgram (03/28/2024) «Imagine Me»
5. Langendijk, Matthijs (09/22/2022) «How AI image generation is going to change the world»
6. FuturePedia (06/26/24) «Imagine Me»
7. Poweredblog (09/19/23) «Text-to-Image for All: AI-Image Generation Models»