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New image consistency generation model OmniGen tested and deployed to maintain consistent character or object manipulation
Today we share a very interesting AI tool: OmniGen A. What is OmniGen OmniGen is a "unified image generation model", without the need to install ControlNet, IP-Adapter, Reference-Net and other plug-ins, according to the text prompts to automatically recognize features in the input image (eg, an object, pose, mapping). OmniGen is a "Unified Image Generation Model" that automatically recognizes features (e.g., an object, a pose, a mapping) in an input image without the need to install ControlNet, IP-Adapter, Reference-Net, etc. What's the use? For example, in the following two images, if you want to put the characters in them in the same background, it used to be more troublesome, but now it only takes one line of instruction. Ta-da! Used above...- 720
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X Launches Aurora, a New AI Image Generation Model for Grok that Produces More Realistic Images
Dec. 8 (Bloomberg) -- Musk's X has introduced a new AI image generation model, "Aurora," for its AI chatbot Grok, which is capable of generating more realistic images than Grok's other image-generation models and appears to have fewer limitations on what can be generated. Like Grok, anyone can use Aurora, which is available in the Grok model selector under the "Grok 2 + Aurora beta" option, though free users will only have limited access. Tech...- 897
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Unified image generation model, OmniGen, supports text-to-map, image editing, and also pose detection.
Today, we introduce OmniGen, a unified image generation model proposed by the Beijing Institute of Artificial Intelligence, which can be used to perform various tasks, including but not limited to text-to-image generation, subject-driven generation, identity preservation generation, image editing, and image conditional generation.OmniGen does not require any additional plug-ins or operations, and it can automatically recognize features (e.g., desired objects, human poses, depth mapping, etc.) from the input image based on textual prompts. features (e.g., desired object, body pose, depth mapping) based on textual prompts. Related Links Paper: https://arxiv.org/pdf/2409.11340 Code: htt...- 3.5k
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