Pickapic
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Pickapic
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Introduction:
Are you curious about the capabilities of AI tools in generating images from text?
Introducing Pickapic, an open-sourced application designed specifically for collecting human feedback on AI-generated images.
With Pickapic, researchers in the field of AI can easily gather valuable insights by allowing users to generate images from text and rank them.
Authenticating via Google, users can actively participate in this groundbreaking project, contributing to the creation of the largest open-sourced and publicly available human-feedback dataset for text-to-image research.
All code, data, and models resulting from this research endeavor are openly accessible to the public, fostering collaboration and innovation.
Supported by the Google TRC Program, Pickapic utilizes the powerful Stable Diffusion 2.1 and ProtogenX3.4 models to deliver exceptional results.
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Stay tuned as the data is periodically updated and the collected insights are released into the public domain, driving advancements in AI research.
Overview:
Pickapic is an open-sourced application designed for academic research in AI, specifically focused on collecting human feedback on AI-generated images. The tool allows users to generate images from text and then rank them, contributing to the development of a comprehensive text-to-image dataset.
To ensure authenticity and accountability, users are required to authenticate via Google before generating and participating in the project. This authentication process helps maintain the integrity of the data collected.
Pickapic’s mission is to create the largest open-sourced and publicly available human-feedback dataset for text-to-image research. All code, data, and models resulting from the project are made openly accessible to the public. This commitment to transparency encourages collaboration and fosters advancements in AI research.
Currently, Pickapic utilizes the Stable Diffusion 2.1 and ProtogenX3.4 models to generate images from text inputs. These models have been carefully selected to ensure high-quality results and facilitate accurate feedback from users.
The dataset collected through Pickapic will be periodically updated, ensuring that the research project remains up-to-date and relevant. Additionally, the collected data will be released into the public domain, allowing researchers and developers to leverage it for further advancements in AI.
Pickapic is supported by the Google TRC Program, which provides resources and assistance to innovative projects in the field of AI. This support ensures the continued development and improvement of the tool, enabling researchers to make significant strides in the text-to-image domain.
Benefits:
- Open-sourced application for collecting human feedback on AI-generated images
- Allows users to generate images from text and rank them
- All code, data, and models resulting from the research project are open-sourced and available to the public
- Users must authenticate via Google before generating and participating in the project
- Mission to build the largest open-sourced and publicly available human-feedback for text-to-image dataset
- Currently uses Stable Diffusion 2.1 and ProtogenX3.4 models
- Data will be updated periodically
- Collected data will be released into the public domain
- Supported by the Google TRC Program
- Use case: Image feedback collection for research
The TechLaugh editorial team, led by founder Akshay Kumar Singh, tests AI tools on real marketing and creative work. We check pricing on the day of writing, note free-plan limits, and update guides when tools change or shut down.