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  2. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]

  3. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  4. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco-based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.

  5. Canva - Wikipedia

    en.wikipedia.org/wiki/Canva

    On December 7, 2022, Canva launched Magic Write, which is the platform’s AI-powered copywriting assistant. [33] On March 22, 2023, Canva announced its new Assistant tool, which makes recommendations on graphics and styles that match the user's existing design. [34] On January 11, 2024, Canva launched its own GPT in OpenAI's GPT Store. [35]

  6. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    Example of an image made with Flux 1.1 Pro in Raw mode, this mode is designed to generate photorealistic images In 2024, Flux was released, this model can generate realistic images with consistent results and was integrated into Grok , the chatbot used on X (formerly Twitter) , and Le Chat , the chatbot of Mistral AI .

  7. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    Prior to this, the company had provided limited access to a small "red team", including experts in misinformation and bias, to perform adversarial testing on the model. [4] The company also shared Sora with a small group of creative professionals, including video makers and artists, to seek feedback on its usefulness in creative fields.