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https://openai.com/dall-e-2/
DALL·E 2 is an improved version of DALL·E, an AI system that can create realistic images and art from a description in natural language. Learn about its features, safety, and how to try it out.
https://openai.com/research/dall-e/
DALL·E is a neural network that generates images from text captions, using a dataset of text-image pairs. It can create plausible images for a wide range of concepts, control attributes and positions of objects, and apply transformations to existing images.
https://labs.openai.com/about/
DALL·E can generate original, realistic, and creative images and art from a short text description. It uses a process called diffusion and has a content policy and safety system to prevent misuse and harmful images.
https://openai.com/dall-e-3/
DALL·E 3 has mitigations to decline requests that ask for a public figure by name. We improved safety performance in risk areas like generation of public figures and harmful biases related to visual over/under-representation, in partnership with red teamers—domain experts who stress-test the model—to help inform our risk assessment and mitigation efforts in areas like propaganda and
https://openai.com/blog/dall-e-2-extending-creativity/
DALL·E 2: Extending creativity. As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we've made decisions about DALL·E's
https://www.youtube.com/watch?v=qTgPSKKjfVg
DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.Learn more: openai.com/dall-e-2
https://towardsdatascience.com/dall-e-2-explained-the-promise-and-limitations-of-a-revolutionary-ai-3faf691be220
How DALL·E 2 works: What the model does and how it does it. I'll add at the end an "explain like I'm five" practical analogy that anyone can follow and understand. DALL·E 2 variations, inpainting, and text diffs: What are the possibilities beyond text-to-image generation. These techniques generate the most stunning images, videos, and
https://www.technologyreview.com/2022/12/16/1065255/sam-altman-openai-lessons-from-dall-e-2/
Here is Sam Altman, in his own words, on: 1/ Why DALL-E 2 made such an impact. It crossed a threshold where it could produce photorealistic images. But even with non-photorealistic images, it
https://www.assemblyai.com/blog/how-dall-e-2-actually-works/
Learn the ins and outs of DALL-E 2, OpenAI's groundbreaking model for text-conditional image generation and manipulation. Discover how CLIP, GLIDE, and Diffusion Models work together to create stunning images from natural language prompts.
https://www.theverge.com/2022/4/6/23012123/openai-clip-dalle-2-ai-text-to-image-generator-testing
DALL-E 2 is a text-to-image system that can edit, blend, and create variations of existing pictures. It uses a higher-resolution and lower-latency version of the original DALL-E, and a new inverted CLIP model that resists some forms of mislabeling.
https://techcrunch.com/2022/07/20/openai-expands-access-to-dall-e-2-its-powerful-image-generating-ai-system/
DALL-E 2 can create images from text prompts or edit existing images. It is now more widely available, with a credit-based fee structure and usage rights for users.
https://help.openai.com/en/articles/6468065-dall-e-2-faq
Learn about DALL·E 2, a text-to-image generation model that can create images from natural language descriptions. Find answers to common questions about commercialization, billing, product features, and policy.
https://zapier.com/blog/how-to-use-dall-e-2/
Learn how to generate realistic images from text prompts with DALL·E 2, an AI system by OpenAI. Find out how to write better prompts, edit images, and use advanced features like inpainting and outpainting.
https://www.reddit.com/r/dalle2/comments/vwjlsq/extensive_list_of_keywords_prompt_modifiers_to/
Seeing how "cinestill" and "kodachrome" keywords produce distinct styles of photography, with "35mm" being very popular in prompts, I've decided to explore other important photography techniques and effects, to make a list of keywords inspiring more creative photography related prompts. TL:DR - add bold text keywords from this post into your
https://www.zdnet.com/article/how-to-use-dall-e-2-to-turn-your-creative-visions-into-ai-generated-art/
DALL-E 2 is an AI image generator that lets you create images with your words. Learn how to sign up, type prompts, generate and modify images, and save and share your art.
https://www.nbcnews.com/tech/tech-news/no-quick-fix-openais-dalle-2-illustrated-challenges-bias-ai-rcna39918
DALL·E 2 draws on another piece of AI technology created by OpenAI called GPT-3, a natural language processing program that draws on hundreds of billions of examples of language from books,
https://openai.com/blog/dall-e-now-available-in-beta/
DALL·E is a beta product that lets users create realistic images and art from a description in natural language. Users can get free credits every month, buy more credits, and use DALL·E for commercial projects with full usage rights.
https://www.reddit.com/r/dalle2/comments/udvw17/which_hardware_is_needed_to_run_dalle2_locally/
For something like dalle-2, that works out to quadrillions of samples which requires a server park to accomplish in a reasonable amount of time. So to recap - inference typically requires 4-20x less memory, 10x less compute speed, is always bottlenecked by vram bandwidth and you don't need to run it on many machines in parallel to have it
https://www.reddit.com/r/dalle2/
r/dalle2 added a new post post/link flair for "OpenAI Sora". Currently very limited people have access to Sora video / animation generation tool. If you use this flair and submit a SORA video or animation, please add the source link (i.e; instagram/xwitter link) as a comment. (OpenAI team decided to use their DALL·E socials to share Sora
https://community.openai.com/t/i-miss-dall-e-2-i-need-inpainting/833733
I'm so crushed that I only have one credit of Dalle2 left. I need inpainting. I used inpainting 5-6x a day for my work. This is deeply affecting my productivity. I've had long conversations with chat gpt about it and it suggests I post here about my frustrations that ChatGPT can't do inpainting. All it can do is create new images. I don't need new images. I need the image I uploaded to
https://www.simplilearn.com/how-to-use-dall-e-article
DALL-E 2 is a state-of-the-art AI-powered image-generating platform created by OpenAI. It is the advanced and improved successor of DALL-E. It can produce incredibly realistic and detailed pictures based on textual descriptions by utilizing deep learning techniques. It uses an encoder-decoder approach, which means that given text is first
https://www.makeuseof.com/same-ai-art-prompts-one-year-apart/
While the text in the newer AI image is still nonsensical, the sheer difference in quality and depth between the two is quite overwhelming. Instead of the flat paper style of the DALL-E 2, the new DALL-E (which you can access via a ChatGPT Plus subscription) preferred to give it a 3D-like spin, reminiscent of illustrated encyclopedias.The words in the newer image are borderline readable, and
https://openai.com/blog/dall-e-2-update/
DALL·E 2 research preview update. Early users have created over 3 million images to date and helped us improve our safety processes. We're excited to begin adding up to 1,000 new users from our waitlist each week. Last month, we started previewing DALL·E 2 to a limited number of trusted users to learn about the technology's capabilities
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https://openai.com/research/dall-e-2-pre-training-mitigations/
In order to share the magic of DALL·E 2 with a broad audience, we needed to reduce the risks associated with powerful image generation models. To this end, we put various guardrails (opens in a new window) in place to prevent generated images from violating our content policy (opens in a new window).This post focuses on pre-training mitigations, a subset of these guardrails which directly
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