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BREAKING: SpaceXAI just released Grok Imagine Image 2.0, its latest model for professional image generation and editing. • Improved prompt accuracy, typography and layouts • Precise edits using Magic Wand and segmentation • Background removal and smart resizing • Supports up to 5 input images • Better consistency across... show more

DogeDesigner

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Announcing Imagine Image 2.0, our next generation image model with precision editing, crisp text rendering, improved factuality, and real world usefulness. Image 2.0 helps you make images for real work.

Announcing Imagine Image 2.0, our next generation image model with precision editing, crisp text rendering, improved factuality, and real world usefulness. Image 2.0 helps you make images for real work.

Grok

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Introducing Quality mode on Grok Imagine – powered by our most advanced image generation model. Quality mode gives you enhanced details, stronger text rendering, and higher levels of creative control. Now available on web and mobile. Try it at

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SpaceXAI

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BREAKING: Grok Imagine now has 20 new templates for precise image generation and editing with the release of the Image 2.0 model. • Mascot Maker • Emoji Creator • Smart Resize • Profile Picture • Reimagine • Merch Maker • Professional Headshot • BG Removal & Change • Product Color Change • Icon Maker • Editorial Product Poster • Room staging • E-Commerce Photos • Hero Product Reveal • Character Sprite • Props & UI Kit • QR Code Skins • Photo Collage • UGC Photos • Photo Edit

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Updated my Grok Rate Limit Display Chrome extension. Added Grok Imagine support. Now you can easily track how many chat queries, and imagine video and image generations you have left and how long you have to wait for more. Download. or just search the chrome web store for "Grok Rate Limit Display" note: Waiting for google to approve ver 1.6.0 with imagine support

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Nano Banana is now live in Search, so you can use Lens & AI Mode to instantly transform photos with our latest image editing model. Here’s a guide to get you started: 1. Open Lens in the Google app for Android and iOS. 2. Tap the new Create mode — look for the yellow banana 🍌 3. Try a suggested prompt, like “make a photo booth pic of me.” 4. Or, snap a picture and describe the edits you’re looking for. 5. Use follow-ups to keep editing, or share the image with family and friends.

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Tencent Hy

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Had to try Grok Imagine after seeing Heavy Pulp’s latest work. I used Grok Imagine’s still image creation and new multi-image video reference feature for the video, no other AI model were used. I have no movie editing or movie creation skills whatsoever, just an eye for aesthetic. I added a consistent cinematic style, character and scene setting along with simple prompts. Extending scenes was flawless, the speed to render iterations was nuts, and realism is high level. 3 hours in total to produce. Must try Grok Imagine.

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AGRIPPA █

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Early look at Imagine Agent Mode on Grok app for iOS! Users will be able to use Imagine Agent via a mobile optimised native UI to generate images and videos that require more complex workflows. SpaceXAI is getting quite ahead of everyone else on this front! We just need Imagine v2 now 👀 Additionally, Skills are coming soon on mobile as well.

🚨 AI News | TestingCatalog

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Nano Banana Pro is here 🍌 Unlimited for ONE WEEK The model that sparked billions of creations just leveled up. Sharper quality, unbreakable character consistency and multi-image blending Available now on Freepik. Read more below

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In Prompt Engineering for Vision Models, taught by Abby Jacques Verre and Caleb Kaiser of Comet , you’ll learn how to prompt and fine-tune vision models for personalized image generation, image editing, object detection and segmentation. The prompts you'll use for vision models could be text, point coordinates, or bounding boxes, depending on the model. You'll also learn to tune hyperparameters to shape the output. Models you'll use include Segment-Anything Model (SAM), OWL-ViT, and Stable Diffusion. You'll also learn to fine-tune Stable Diffusion to generate personalized images (say, an image of a specific person), using a handful of images for training. As an example of a multi-step workflow, you'll use OWL-ViT to detect an object based on a text prompt, then pass the bounding box to SAM to create a segmentation mask, and input that mask into Stable Diffusion to replace the original object with a new one based on a text prompt. Controlling vision models can be tricky; this course will teach prompting and fine-tuning techniques to get precise control over their output. Get started here:

In Prompt Engineering for Vision Models, taught by Abby Jacques Verre and Caleb Kaiser of Comet , you’ll learn how to prompt and fine-tune vision models for personalized image generation, image editing, object detection and segmentation. The prompts you'll use for vision models could be text, point coordinates, or bounding boxes, depending on the model. You'll also learn to tune hyperparameters to shape the output. Models you'll use include Segment-Anything Model (SAM), OWL-ViT, and Stable Diffusion. You'll also learn to fine-tune Stable Diffusion to generate personalized images (say, an image of a specific person), using a handful of images for training. As an example of a multi-step workflow, you'll use OWL-ViT to detect an object based on a text prompt, then pass the bounding box to SAM to create a segmentation mask, and input that mask into Stable Diffusion to replace the original object with a new one based on a text prompt. Controlling vision models can be tricky; this course will teach prompting and fine-tuning techniques to get precise control over their output. Get started here:

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