BREAKING NEWS
LATEST POSTS
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How to Create and Sell Profitable Online Courses: Step-by-Step Guide
https://www.learnworlds.com/how-to-create-an-online-course/
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- Step 3. Understand your Audience
- Step 4. Write Down Your Learning Objectives
- Step 5. Create a Storyboard
- Step 6. Decide Where You’ll Host Your Online Course
- Step 7. Create Your Content
- Step 8. Select a Business Model
- Step 9. Create a Course Page that Converts
- Step 10. Build a Course Sales Funnel
- Step 11. Engage in Ongoing Marketing
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Pika.art – an AI for creating videos from stills
“It converts simple text instructions into captivating videos, in seconds.
The story behind this AI is fascinating: A team of four engineers, led by Demi Guo and Chenlin Meng, was born with a clear vision: to transform video creation.
After raising $55 million, Pika Labs initially focused on Japanese anime-style animations before expanding into 3D animation” -
DiffusionLight: HDRI Light Probes for Free by Painting a Chrome Ball
https://diffusionlight.github.io/
https://github.com/DiffusionLight/DiffusionLight
https://github.com/DiffusionLight/DiffusionLight?tab=MIT-1-ov-file#readme
https://colab.research.google.com/drive/15pC4qb9mEtRYsW3utXkk-jnaeVxUy-0S
“a simple yet effective technique to estimate lighting in a single input image. Current techniques rely heavily on HDR panorama datasets to train neural networks to regress an input with limited field-of-view to a full environment map. However, these approaches often struggle with real-world, uncontrolled settings due to the limited diversity and size of their datasets. To address this problem, we leverage diffusion models trained on billions of standard images to render a chrome ball into the input image. Despite its simplicity, this task remains challenging: the diffusion models often insert incorrect or inconsistent objects and cannot readily generate images in HDR format. Our research uncovers a surprising relationship between the appearance of chrome balls and the initial diffusion noise map, which we utilize to consistently generate high-quality chrome balls. We further fine-tune an LDR difusion model (Stable Diffusion XL) with LoRA, enabling it to perform exposure bracketing for HDR light estimation. Our method produces convincing light estimates across diverse settings and demonstrates superior generalization to in-the-wild scenarios.”
FEATURED POSTS
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GaiaNet – Install and run your own local and decentralized free AI agent service
https://github.com/GaiaNet-AI/gaianet-node
GaiaNet is a decentralized computing infrastructure that enables everyone to create, deploy, scale, and monetize their own AI agents that reflect their styles, values, knowledge, and expertise. It allows individuals and businesses to create AI agents. Each GaiaNet node provides
- a web-based chatbot UI.
- an OpenAI compatible API. See how to use a GaiaNet node as a drop-in OpenAI replacement in your favorite AI agent app.
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RawTherapee – a free, open source, cross-platform raw image and HDRi processing program
5.10 of this tool includes excellent tools to clean up cr2 and cr3 used on set to support HDRI processing.
Converting raw to AcesCG 32 bit tiffs with metadata.