RANDOM POSTs
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memerwala_londa – Ghibli like Midjourney and Kling video
https://www.reddit.com/r/midjourney/comments/1lbblfq/ghibli_style_game_guide_included/
Made everything on Edits App
Image Generation on Midjourney
Video Generation on Kling 2.1I used Joystick png to add buttons,then some asmr video sounds to make it look more lively,I used text as Buttons,
Prompts:
All Prompts are in order just like in video
First-person POV video game screenshot, playing as a young anime protagonist in a slightly oversized white t-shirt and knee-length blue shorts. Visible hands pushing open a sun-faded wooden door, forearms resting on the frame. In a dusty hallway mirror reflection: character’s soft Ghibli-style face with windblown hair. Inside a cozy coastal cottage: slanted sunlight through lace curtains, pastel walls with watercolor seascapes, overstuffed bookshelf spilling seashells. Foreground: ‘E: Rest’ prompt over a quilted sofa. Background: steaming teacup on a driftwood table, open window revealing distant lighthouse and Miyazaki fluffy clouds. Soft painterly textures, slight fisheye lens, identical HUD (minimap corner, health bar)
First-person POV video game screenshot, playing as a young anime protagonist in a slightly oversized white t-shirt and knee-length blue shorts. View includes visible hands gripping a steering wheel, sunlit arms resting on car door, and rearview mirror showing character’s soft Ghibli-style face with windblown hair. Driving through a vibrant coastal town: cobblestone streets, pastel houses with flower boxes, distant lighthouse. Soft painterly textures, Miyazaki skies with fluffy clouds, slight fisheye lens effect, HUD elements (minimap corner, health bar).
First-person POV video game screenshot, playing as a young protagonist in a loose white t-shirt and faded denim shorts. Visible arms holding a woven basket, sneakers stepping on rain-damp cobblestones. Walking through a chaotic Ghibli street market: cramped stalls selling glowing mushrooms, floating lanterns, and spiral-cut fruits. Fishmonger shouts while soot sprites dart between crates. Foreground: vendor handing you a peach (interactive ‘E’ prompt). Background: yakuza thugs lurking near a steaming noodle cart. Soft painterly lighting, depth of field, subtle HUD (minimap corner, health bar). Studio Ghibli meets Grand Theft Auto
First-person POV video game screenshot, playing as a young anime protagonist in a slightly oversized white t-shirt (salt-stained sleeves) and knee-length blue shorts, visible hands gripping a bamboo fishing rod. Kneeling on a mossy dock pier at sunset, arms resting on knees. Foreground: ‘E: Reel In’ prompt as line pulls taut. Background: pastel fishing boats, distant lighthouse under Miyazaki’s fluffy clouds. Glowing koi fish breaching turquoise water, soot sprites stealing bait from a tin. Identical soft painterly textures, fisheye lens effect, HUD (minimap corner, health bar).
Video Prompts :
All Prompts are in order just like in video
The black-haired boy strides from the rustic house toward the ocean, the camera tracking his movement in a GTA-style third-person perspective as coastal winds flutter white curtains and sunlight glimmers on distant sailboats, blending warm interior details with expanding seaside horizons under a tranquil sky.
The brown-haired boy drives a vintage blue convertible along the coastal cobblestone street, colorful flower-adorned buildings passing by as the camera follows the car’s journey toward the sunlit ocean horizon, sea breeze gently tousling his hair under a serene sky.
The young boy navigates the bustling cobblestone market, basket of oranges in arm, as vibrant stalls and fluttering awnings frame his journey, the camera tracking his focused stride through chattering crowds under swaying traditional lanterns.
A school of fish swims gracefully through crystal-clear water, sunlight filtering through the surface, coral reefs swaying gently, creating a serene underwater scene with the camera stationary.
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The Three Laws of Software Code Complexity
Read more: The Three Laws of Software Code Complexityhttps://maheshba.bitbucket.io/blog/2024/05/08/2024-ThreeLaws.html
- A well-designed system will degrade into a badly designed system over time.
- Complexity is a Moat (filled by Leaky Abstractions).
- There is no fundamental upper limit on Software Complexity.
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Unity Presents New “Runtime Fees” Based on Game Installs and Revenue
Read more: Unity Presents New “Runtime Fees” Based on Game Installs and Revenuehttps://80.lv/articles/unity-presents-new-fees-based-on-game-installs-and-revenue/
The new program is called the Unity Runtime Fee and the main principle is based on how often users install games. Unity thinks “an initial install-based fee allows creators to keep the ongoing financial gains from player engagement, unlike a revenue share”.
This is bound to kill all developers who count on free downloads but profitable venues of income like in-app purchase. Which count for a vast majority of the 30% of the market that Unity holds onto.
The extra bill will be estimated by Unity based on non-specific data.
Unity does not have a ‘known’ way to track installs. Likely due to privacy laws. Thus they will need to ‘estimate’ installs and bill clients based on that. … …. Data which is aggregated with no identifying features isn’t really prevented. Unity’s claim that they can’t distinguish between an install and reinstall or even a paid versus pirated copy actually reinforces the idea that they aren’t using any identifying information, so it would be compliant to privacy laws. … Assumption is that they will get some data from distributors like AppStore, GooglePlay, Valve, Sony, Microsoft, etc… and estimate from there.
“It hurts because we didn’t agree to this. We used the engine because you pay up front and then ship your product. We weren’t told this was going to happen. We weren’t warned. We weren’t consulted,” explained the Facepunch Studios founder. “We have spent 10 years making Rust on Unity’s engine. We’ve paid them every year. And now they changed the rules.”
“It’s our fault. All of our faults. We sleepwalked into it. We had a ton of warnings,” they added. “We should have been pressing the eject button when Unity IPO’d in 2020. Every single thing they’ve done since then has been the exact opposite of what was good for the engine.
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LARS – An application that enables you to run LLMs locally on your device
Read more: LARS – An application that enables you to run LLMs locally on your devicehttps://github.com/abgulati/LARS
This grounding helps increase accuracy and reduce the common issue of AI-generated inaccuracies or “hallucinations.” This technique is commonly known as “Retrieval Augmented Generation”, or RAG.
LARS aims to be the ultimate open-source RAG-centric LLM application. Towards this end, LARS takes the concept of RAG much further by adding detailed citations to every response, supplying you with specific document names, page numbers, text-highlighting, and images relevant to your question, and even presenting a document reader right within the response window. While all the citations are not always present for every response, the idea is to have at least some combination of citations brought up for every RAG response and that’s generally found to be the case.
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Bella – Fast Spectral Rendering
Bella works in spectral space, allowing effects such as BSDF wavelength dependency, diffraction, or atmosphere to be modeled far more accurately than in color space.
https://superrendersfarm.com/blog/uncategorized/bella-a-new-spectral-physically-based-renderer/
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VQGAN + CLIP AI made Music Video for the song Canvas by Resonate
Read more: VQGAN + CLIP AI made Music Video for the song Canvas by Resonate” In this video, I utilized artificial intelligence to generate an animated music video for the song Canvas by Resonate. This tool allows anyone to generate beautiful images using only text as the input. My question was, what if I used song lyrics as input to the AI, can I make perfect music synchronized videos automatically with the push of a button? Let me know how you think the AI did in this visual interpretation of the song.
After getting caught up in the excitement around DALL·E2 (latest and greatest AI system, it’s INSANE), I searched for any way I could use similar image generation for music synchronization. Since DALL·E2 is not available to the public yet, my search led me to VQGAN + CLIP (Vector Quantized Generative Adversarial Network and Contrastive Language–Image Pre-training), before settling more specifically on Disco Diffusion V5.2 Turbo. If you don’t know what any of these words or acronyms mean, don’t worry, I was just as confused when I first started learning about this technology. I believe we’re reaching a turning point where entire industries are about to shift in reaction to this new process (which is essentially magic!).
DoodleChaos”
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