https://www.hirox-europe.com/gigapixel/girl-with-a-pearl-earring/
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Author: pIXELsHAM.com
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Windows Robocopy – efficiently copying files and directories
The Windows “Robust File Copy” utility for efficiently copying files and directories, with built-in retry, logging, and mirroring capabilities.
https://learn.microsoft.com/en-us/windows-server/administration/windows-commands/robocopy
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Disney Hacker Admits Using Malware-Laced AI Art App to Achieve Breach
https://cyberinsider.com/disney-hacker-admits-using-malware-laced-ai-art-app-to-achieve-breach/
A 25-year-old Santa Clarita man has agreed to plead guilty to hacking a Disney employee’s personal computer, stealing login credentials, and exfiltrating 1.1 terabytes of confidential data from internal Slack channels.
The charges stem from a targeted cyberattack carried out in the spring and summer of 2024 that compromised Disney’s internal communications and led to the public leak of sensitive corporate data.
“Kramer, operating under the alias “NullBulge,” created and distributed a malicious program disguised as an AI art generation tool. He uploaded this trojanized application to GitHub and other public repositories in early 2024, enticing users interested in generative AI. At least three victims, including one Disney employee, downloaded the program. Once executed, the software provided Kramer with remote access to the victims’ machines and stored credentials.”
After infiltrating the employee’s personal system, Kramer accessed corporate Slack credentials to infiltrate Disney’s internal Slack workspace and downloaded around 1.1 terabytes of data from nearly 10,000 channels including unreleased media projects, internal code, links to APIs, and credentials for internal web services.
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President Trump Says He Will Implement 100% Tariffs on Films Produced Outside the U.S.
https://variety.com/2025/film/news/trump-tariff-foreign-film-national-security-1236386566
Jon Voight has presented his Hollywood rescue plan…
While President Trump dropped his 100% foreign film tariff bombshell over the weekend, Oscar-winner Jon Voight was already at Mar-a-Lago pitching his industry revival plan. The presidential “Hollywood ambassador” has been making the rounds with unions, studios, and officials to craft his proposal—and now we’ve got the details:
•For filmmakers, Voight proposes stackable federal tax credits (10-20%) on top of existing state incentives. His plan would expand Section 181 provisions, allowing producers to write off 100% of costs in the first year. Instead of blanket tariffs, he suggests targeted penalties of 120% on productions that could have filmed in America but chose foreign locations just for tax incentives.
•For infrastructure, the plan includes tax credits for building or renovating theaters, studios, and post-production facilities. It would create job training programs to ensure Americans have skills for high-paying industry positions, with special emphasis on developing production capabilities in heartland states.
•For streaming platforms, Voight wants to revive regulations that once prevented networks from owning the shows they aired. Streamers would need to pay producers premiums (25-40% of production costs) for exclusive licenses, return more ownership rights after license periods end, and share copyrights 50/50 with content creators.
•For international work, the plan proposes co-production treaties with countries like the UK to enable collaboration without triggering tariffs. It includes exemptions from penalties for legitimate international partnerships that truly require foreign locations. -
Vulkan Gaussian Splatting – Real-Time GPU-Accelerated Gaussian Splatting with NVIDIA DesignWorks Sample vk_gaussian_splatting
https://github.com/nvpro-samples/vk_gaussian_splatting
vk_gaussian_splatting is a new Vulkan-based sample that demonstrates real-time Gaussian splatting, a cutting-edge volume rendering technique that enables highly efficient representations of radiance fields. It is the latest addition to the NVIDIA DesignWorks Samples.
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Foundry Nuke W_hotbox – A fully customisable ‘favourites menu’
https://www.nukepedia.com/python/ui/w_hotbox
W_hotbox is basically a fully customisable ‘favourites menu’ that pops up for as long as you press the shortcut and disappears as soon as you release. The buttons that make up the menu represent python scripts and change depending on you selection. The ‘Hotbox Manager’ offers you an user friendly interface which allows you to add new buttons on the fly. Those buttons are directly accessible via buttons that appear in the menu under your cursor.
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Yasuharu YOSHIZAWA – Comparison of sRGB vs ACREScg in Nuke
Answering the question that is often asked, “Do I need to use ACEScg to display an sRGB monitor in the end?” (Demonstration shown at an in-house seminar)
Comparison of scanlineRender output with extreme color lights on color charts with sRGB/ACREScg in color – OCIO -working space in Nuke -
TED 2025 Rob Bredow – Artist-Driven Innovation in the Age of AI
https://robbredow.com/2025/05/ted-artist-driven-innovation/
https://www.ted.com/talks/rob_bredow_star_wars_changed_visual_effects_ai_is_doing_it_again
Rob Bredow speaks at SESSION 3 at TED 2025: Humanity Reimagined. April 7-11, 2025, Vancouver, BC. Photo: Gilberto Tadday / TED -
Chongqing the world’s largest city in pictures
https://www.theguardian.com/world/gallery/2025/apr/27/chongqing-the-worlds-largest-city-in-pictures
The largest city in the world is as big as Austria, but few people have ever heard of it. The megacity of 34 million people in central of China is the emblem of the fastest urban revolution on the planet.
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Fluent 4.0 released for Blender hard surface modeler
Beyond the boolean support, this add-on also provides cloth panel, grid, head screw, wire and pipe tool.
https://cgthoughts.gumroad.com/
https://superhivemarket.com/creators/cg-thoughts?ref=82
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Arto T. – A workflow for creating photorealistic, equirectangular 360° panoramas in ComfyUI using Flux
https://civitai.com/models/735980/flux-equirectangular-360-panorama
https://civitai.com/models/745010?modelVersionId=833115
The trigger phrase is “equirectangular 360 degree panorama”. I would avoid saying “spherical projection” since that tends to result in non-equirectangular spherical images.
Image resolution should always be a 2:1 aspect ratio. 1024 x 512 or 1408 x 704 work quite well and were used in the training data. 2048 x 1024 also works.
I suggest using a weight of 0.5 – 1.5. If you are having issues with the image generating too flat instead of having the necessary spherical distortion, try increasing the weight above 1, though this could negatively impact small details of the image. For Flux guidance, I recommend a value of about 2.5 for realistic scenes.
8-bit output at the moment
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Scientists claim to have discovered ‘new colour’ no one has seen before: Olo
https://www.bbc.com/news/articles/clyq0n3em41o
By stimulating specific cells in the retina, the participants claim to have witnessed a blue-green colour that scientists have called “olo”, but some experts have said the existence of a new colour is “open to argument”.
The findings, published in the journal Science Advances on Friday, have been described by the study’s co-author, Prof Ren Ng from the University of California, as “remarkable”.
(A) System inputs. (i) Retina map of 103 cone cells preclassified by spectral type (7). (ii) Target visual percept (here, a video of a child, see movie S1 at 1:04). (iii) Infrared cellular-scale imaging of the retina with 60-frames-per-second rolling shutter. Fixational eye movement is visible over the three frames shown.
(B) System outputs. (iv) Real-time per-cone target activation levels to reproduce the target percept, computed by: extracting eye motion from the input video relative to the retina map; identifying the spectral type of every cone in the field of view; computing the per-cone activation the target percept would have produced. (v) Intensities of visible-wavelength 488-nm laser microdoses at each cone required to achieve its target activation level.
(C) Infrared imaging and visible-wavelength stimulation are physically accomplished in a raster scan across the retinal region using AOSLO. By modulating the visible-wavelength beam’s intensity, the laser microdoses shown in (v) are delivered. Drawing adapted with permission [Harmening and Sincich (54)].
(D) Examples of target percepts with corresponding cone activations and laser microdoses, ranging from colored squares to complex imagery. Teal-striped regions represent the color “olo” of stimulating only M cones.
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Finn Jager – From HEIC (High Efficiency Image Container) iPhone to a Multichannel EXR
Finn Jäger has spent some time in making a sleeker tool for all you VFX nerds out there, it takes a HEIC iPhone still and exports a Multichannel EXR – the cool thing is it also converts it to acesCG and it merges the SDR base image with the gain map according to apples math hdr_rgb = sdr_rgb * (1.0 + (headroom – 1.0) * gainmap)
https://github.com/finnschi/heic-shenanigans
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Mars Lewis on the Brandolini’s Law
Brandolini’s law (or the bullshit asymmetry principle) is an internet adage coined in 2013 by Italian programmer Alberto Brandolini. It compares the considerable effort of debunking misinformation to the relative ease of creating it in the first place.
The law states: “The amount of energy needed to refute bullshit is an order of magnitude bigger than to produce it.”
https://en.wikipedia.org/wiki/Brandolini%27s_law
This is why every time you kill a lie, it feels like nothing changed. It’s why no matter how many facts you post, how many sources you cite, how many receipts you show—the swarm just keeps coming. Because while you’re out in the open doing surgery, the machine is behind the curtain spraying aerosol deceit into every vent.
The lie takes ten seconds. The truth takes ten paragraphs. And by the time you’ve written the tenth, the people you’re trying to reach have already scrolled past.
Every viral deception—the fake quote, the rigged video, the synthetic outrage—takes almost nothing to create. And once it’s out there, you’re not just correcting a fact—you’re prying it out of someone’s identity. Because people don’t adopt lies just for information. They adopt them for belonging. The lie becomes part of who they are, and your correction becomes an attack.
And still—you must correct it. Still, you must fight.
Because even if truth doesn’t spread as fast, it roots deeper. Even if it doesn’t go viral, it endures. And eventually, it makes people bulletproof to the next wave of narrative sewage.
You’re not here to win a one-day war. You’re here to outlast a never-ending invasion.
The lies are roaches. You kill one, and a hundred more scramble behind the drywall.The lies are Hydra heads. You cut one off, and two grow back. But you keep swinging anyway.
Because this isn’t about instant wins. It’s about making the cost of lying higher. It’s about being the resistance that doesn’t fold. You don’t fight because it’s easy. You fight because it’s right.
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GenUE – Direct Prompt-to-Mesh Generation in Unreal Engine Integrated with ComfyUI
GenUE brings prompt-driven 3D asset creation directly into Unreal Engine using ComfyUI as a flexible backend. • Generate high-quality images from text prompts. • Choose from a catalog of batch-generated images – no style limitations. • Convert the selected image to a fully textured 3D mesh. • Automatically import and place the model into your Unreal Engine scene. This modular pipeline gives you full control over the image and 3D generation stages, with support for any ComfyUI workflow or model. Full generation (image + mesh + import) completes in under 2 minutes on a high-end consumer GPU.
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Edward Ureña – Rig creator
https://edwardurena.gumroad.com/l/ramoo
What it offers:
• Base rigs for multiple character types
• Automatic weight application
• Built-in facial rigging system
• Bone generators with FK and IK options
• Streamlined constraint panel
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GPT-Image-1 API now available through ComfyUI with Dall-E integration
https://blog.comfy.org/p/comfyui-now-supports-gpt-image-1
https://docs.comfy.org/tutorials/api-nodes/openai/gpt-image-1
https://openai.com/index/image-generation-api
• Prompt GPT-Image-1 directly in ComfyUI using text or image inputs
• Set resolution and quality
• Supports image editing + transparent backgrounds
• Seamlessly mix with local workflows like WAN 2.1, FLUX Tools, and more
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Tencent Hunyuan3D 2.5 – Transform images and text into 3D models with ultra-high-definition precision
What makes it special?
• Massive 10B parameter geometric model with 10x more mesh faces.
• High-quality textures with industry-first multi-view PBR generation.
• Optimized skeletal rigging for streamlined animation workflows.
• Flexible pipeline for text-to-3D and image-to-3D generation.
They’re making it accessible to everyone:
• Open-source code and pre-trained models.
• Easy-to-use API and intuitive web interface.
• Free daily quota doubled to 20 generations!
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Alibaba 3DV-TON – A novel diffusion model for HQ and temporally consistent video
https://arxiv.org/pdf/2504.17414
Video try-on replaces clothing in videos with target garments. Existing methods struggle to generate high-quality and temporally consistent results when handling complex clothing patterns and diverse body poses. We present 3DV-TON, a novel diffusion-based framework for generating high-fidelity and temporally consistent video try-on results. Our approach employs generated animatable textured 3D meshes as explicit frame-level guidance, alleviating the issue of models over-focusing on appearance fidelity at the expanse of motion coherence. This is achieved by enabling direct reference to consistent garment texture movements throughout video sequences. The proposed method features an adaptive pipeline for generating dynamic 3D guidance: (1) selecting a keyframe for initial 2D image try-on, followed by (2) reconstructing and animating a textured 3D mesh synchronized with original video poses. We further introduce a robust rectangular masking strategy that successfully mitigates artifact propagation caused by leaking clothing information during dynamic human and garment movements. To advance video try-on research, we introduce HR-VVT, a high-resolution benchmark dataset containing 130 videos with diverse clothing types and scenarios. Quantitative and qualitative results demonstrate our superior performance over existing methods.
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