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Pod of orcas in north Japan freed themselves as gaps between the ice grew, officials say

Killer whales trapped in drift ice off Japan’s Hokkaido coast escape | Japan | The Guardian

The pod of about a dozen killer whales were first spotted stranded on Monday north of Hokkaido.

Trapped orcas escape from drift ice near Japan

An image captured off the Norwegian archipelago of Svalbard shows a young polar bear drifting to sleep on a small iceberg after carving a bed in the ice.

Polar bear sleeping on tiny iceberg drifting in Arctic sea captured in heartbreaking photo | Live Science

A group of more than a dozen orcas has disappeared after being trapped in freezing Japanese waters for about a day – it isn’t known if they escaped or have died

Orca pod disappears after being trapped in drifting ice off Japan | New Scientist

Video posted on social media shows dozens of trapped orca whales escaping after being encircled by drift ice.

Video Shows Dozens Of Trapped Whales Attempt To Escape Drift Ice | The Daily Caller

A pod of killer whales that was trapped in drift ice off Japan's northern main island of Hokkaido, prompting concern from environmental groups, has apparently safely escaped, officials said Wednesday. The killer whales, also known as orcas, were initially spotted by a local fisherman who reported ...

A pod of killer whales trapped in drift ice off northern Japan has apparently safely escaped

The coast guard is unable to rescue them as the ice is too thick, an official told local media.

Orcas gasp for air whilst trapped in drift ice off the coast of Japan

The coast guard is unable to rescue them as the ice is too thick, an official tells local media.

Orcas gasp for air whilst trapped in drift ice off the coast of Japan - BBC News

The struggling orcas appeared to be sticking their heads out of the water to breathe. - Videos from The Weather Channel | weather.com

Drone Footage Captures Killer Whales Trapped in Drift Ice off Japan's Coast; Thick Ice Hampers Rescue Efforts - Videos from The Weather Channel

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<p><em>This is a simplified guide to an AI model called <a href="https://www.aimodels.fyi/models/huggingFace/qwen-image-edit-2511-qwen?utm_source=hackernoon&utm_medium=referral">Qwen-Image-Edit-2511</a> maintained by <a href="https://www.aimodels.fyi/creators/huggingFace/Qwen?utm_source=hackernoon&utm_medium=referral">Qwen</a>. If you like these kinds of analysis, join <a href="https://www.aimodels.fyi/?utm_source=hackernoon&utm_medium=referral">AIModels.fyi</a> or follow us on <a href="https://x.com/aimodelsfyi">Twitter</a>.</em></p>

<h2>Model overview</h2>
<p><code>Qwen-Image-Edit-2511</code> is an enhanced image editing model from <a href="https://aimodels.fyi/creators/huggingFace/Qwen?utm_source=hackernoon&utm_medium=referral">Qwen</a> that builds on its predecessor with improvements in consistency and capability. This model handles image-to-image transformations through text prompts, allowing users to edit and manipulate images in sophisticated ways. The improvements in this version focus on reducing image drift, enhancing character consistency, and integrating community-created LoRA capabilities. Compared to related models like <a href="https://aimodels.fyi/models/huggingFace/qwen-image-edit-plus-qwen?utm_source=hackernoon&utm_medium=referral">Qwen-Image-Edit-Plus</a>, this version places special emphasis on practical industrial applications and geometric reasoning.</p>
<h2>Model inputs and outputs</h2>
<p>The model accepts images and text prompts to generate edited versions of those images. Users provide reference images along with detailed instructions about desired modifications, and the model outputs new images reflecting those changes while maintaining visual consistency and quality.</p>
<h3>Inputs</h3>
<ul>
<li><strong>Images</strong>: One or multiple input images to be edited or used as reference material</li>
<li><strong>Prompt</strong>: Text description of the desired edits or transformations</li>
<li><strong>Configuration parameters</strong>: Settings like guidance scale, inference steps, and seed values to control generation behavior</li>
</ul>
<h3>Outputs</h3>
<ul>
<li><strong>Edited images</strong>: Generated images reflecting the requested modifications while preserving important visual characteristics from the input</li>
</ul>
<h2>Capabilities</h2>
<p>The model handles character consistency across edits, preserving identity and visual traits when making imaginative changes to portraits. It can fuse multiple person images into coherent group photos while maintaining consistency across all subjects. The model includes built-in support for popular community LoRAs, enabling effects like realistic lighting control and multi-angle viewpoint generation without additional tuning. For industrial applications, it performs batch product design variations and material replacement on components. The model demonstrates enhanced geometric reasoning, capable of generating construction lines and annotations for design purposes.</p>
<h2>What can I use it for?</h2>
<p>Creative professionals can use this for portrait editing that maintains character identity while exploring different styles and contexts. Fashion and product designers benefit from batch generation of design variations and material swaps for industrial components. The model works for creative composition tasks, enabling the combination of separate person images into unified group photographs. Teams working on industrial design can generate multiple product iterations and explore material alternatives efficiently. Content creators can perform complex edits that require both semantic understanding and visual consistency, from fantasy character transformations to realistic lighting adjustments. Explore <a href="https://aimodels.fyi/papers/arxiv/magicquill-intelligent-interactive-image-editing-system?utm_source=hackernoon&utm_medium=referral">related research</a> on intelligent interactive image editing systems for additional context on this capability space.</p>
<h2>Things to try</h2>
<p>Experiment with portrait editing by providing a photo and describing a different context or styling while watching the model preserve facial features and identity. Test multi-person editing by uploading two separate portraits and requesting them to appear together in a specific scene. Try leveraging the integrated LoRA capabilities to add professional lighting effects without needing to load additional models. For industrial workflows, batch generate product design variations by making iterative edits with different material descriptions. Explore geometric reasoning by requesting the model add construction lines or guides to images for design annotation purposes. Investigate the difference between single-subject and multi-person consistency by comparing results on individual versus group photos.</p>

<hr/><p><strong>Original post:</strong> <a href="https://www.aimodels.fyi/models/huggingFace/qwen-image-edit-2511-qwen?utm_source=hackernoon&utm_medium=referral">Read on AIModels.fyi</a></p>

The Image Editor That Finally Stops “Face Drift”: Inside Qwen-Image-Edit-2511

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Driff's latest news & mentions

‘Drift’ Review: Cynthia Erivo Keeps a Breakdown at Bay - The New York Times

Killer whales trapped in drift ice off Japan’s Hokkaido coast escape | Japan | The Guardian

Trapped orcas escape from drift ice near Japan

Polar bear sleeping on tiny iceberg drifting in Arctic sea captured in heartbreaking photo | Live Science

Orca pod disappears after being trapped in drifting ice off Japan | New Scientist

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A pod of killer whales trapped in drift ice off northern Japan has apparently safely escaped

Orcas gasp for air whilst trapped in drift ice off the coast of Japan

Orcas gasp for air whilst trapped in drift ice off the coast of Japan - BBC News

Drone Footage Captures Killer Whales Trapped in Drift Ice off Japan's Coast; Thick Ice Hampers Rescue Efforts - Videos from The Weather Channel

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