Airt Integrations

DALL*E 2 can create realistic, original images and art from text descriptions. It can combine concepts and attributes. DALL*E2 can create new compositions by expanding images beyond what is on the original canvas. DALL*E 2 can edit existing images using a natural language caption. It can add or remove elements, while also taking into account shadows, reflections, textures, and other details. DALL*E 2 can understand the relationship between images, and the text that describes them. DALL*E 2 uses a process called "diffusion," where it starts with a pattern made up of random dots and then alters that pattern to create an image when it recognizes certain aspects of the image. Users cannot generate violent, political, or adult content according to our content policy. If our filters detect text prompts or image uploads that might violate our policies, we won't generate images. To guard against misuse, we have both automated and human monitoring systems.

Midjourney is an independent research laboratory that explores new media of thought and expands the imagination of the human race. You can also generate images using our tool on another server that has set up the Midjourney Bot. Read the instructions or ask experienced users for help. Once you are satisfied with the prompt, press Enter to send your message. This will send your request to Midjourney Bot. It will soon begin generating your images. The Midjourney bot can send you a Discord message with your final results. Commands are functions of Midjourney bot and can be used in any bot channel or thread.

We have all been overwhelmed by the response over the past few weeks and have been hard at work to ensure a safe release. We have incorporated data from our beta models and community for developers to use. HuggingFace's tireless legal, technology and ethics teams and CoreWeave's brilliant engineers worked together. An AI-based Safety Classifier has been developed and is included as a default feature in the overall software package. This can understand concepts and other factors over generations to remove outputs that are not desired by the model user. This can be easily adjusted, and we welcome suggestions from the community on how to improve it. Although image generation models are powerful, we still need to improve our understanding of how to best represent what we want.