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Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.
Open the HTML file in a text editor and copy the HTML source code to the clipboard. Paste the HTML source into the large text box labeled "HTML markup:" on the html to wiki page. Click the blue Convert button at the bottom of the page. Select the text in the "Wiki markup:" text box and copy it to the clipboard. Paste the text to a Wikipedia ...
Supports merging, splitting, and extracting pages from PDFs. Also rotating, deleting and reordering pages. Converts PDF to Word, Excel, PowerPoint, raster images. Soda PDF: Proprietary: Yes Yes Yes Modular PDF software. Solid Converter PDF: Proprietary: Yes Yes Yes PDF to Word, Excel, HTML and Text; supports passwords, text editing, and batch ...
Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.
Multimate International developed the core word processing software and utilities (file conversion, printer drivers), but purchased and adapted sub-programs for spelling and grammar checking, list management, outlining and print-time incorporation of graphics in word processing documents (MultiMate GraphLink).
TextMate supports user-defined and user-editable commands that are interpreted by bash or the interpreter specified with a shebang.Commands can be sent many kinds of input by TextMate (the current document, selected text, the current word, etc.) in addition to environment variables and their output can be similarly be handled by TextMate in a variety of ways.
Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifacts.
Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.
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