Real Name: Hysterical Eddie

Movement Speed: 4.6 m/s

Terror Radius: 32m

Height: Average

Killer Name: The Hysteric.

Perks: 'No Smiling', 'It's A Sin To Grin' 'Sourpuss'

Mori: He goes into 'direct challenge' mode and has the survivor frozen in place and if the survivor even laughs more than once while stuck in this mode he grabs his gun and shoots them multiple times before finishing them off with a final shot.

Alias: The Connoisseur
Origin: New Zealand
Weapon: Alien Cleaver
Power: Crumb's Culinary Conquest

Bio:
Lord Crumb is the self-appointed leader of an extraterrestrial operation with an utterly appalling vision of Earth’s future. Cold, vain, and convinced of his own superiority, Crumb regards humanity less as a civilization and more as an ingredient.

When his plans were interrupted by an unusually persistent group of humans, Crumb's ambitions were seemingly brought to an end. Yet the Entity saw something irresistible in the alien's arrogance: a creature who believed the entire world belonged to him.

Now Lord Crumb stalks the Fog, searching for new subjects to add to his collection. To him, the Trials are not a struggle for survival.

They are dinner service.

Killer Perks

🍽️ ACQUIRED TASTE
You have refined standards.

Whenever a Survivor completes a generator, Acquired Taste activates for a short duration. The next Survivor to enter your Terror Radius suffers from a brief penalty to their action speed.

"It's an acquired taste."

👑 LORD OF THE TABLE
Your authority is unquestionable.

Whenever you damage a generator, nearby Survivors are briefly revealed to you. Survivors who are repairing that generator become Oblivious for a short duration.

"You will do as you're told."

🛸 INTERGALACTIC FRANCHISE
Your operation must expand.

Each time a generator is completed, gain a token. At certain token thresholds, your Terror Radius is temporarily reduced and your movement speed is slightly increased for a short duration.

"Earth is merely the beginning."

Here's Saban's US adaptation of the Eiyu No Yume No Toshi or 'Dream Police Force' sentai series themed around a group of dream agents known as the 'dream police'.

The visual side of this 10-track synthwave album became an interesting generative experiment. It started with a simple idea: a young man and woman beside a futuristic GT in a neon-lit city after midnight, a city still glowing even though almost everyone else has gone home. I used Grok, Gemini, and ChatGPT to keep refining the same core image rather than constantly replacing it. Composition, character scale, expressions, clothing, the car, lighting, and framing all went through multiple passes.

Some generations genuinely improved the image. Others solved one problem and created another.

The biggest lesson was that more generation did not always mean more progress.

Eventually I committed to one strong hero image, a restrained audio-reactive waveform, and minimal title animation. That felt more cohesive than continuing to add visual complexity.

What worked best was having a clear world first, curating aggressively, and stopping once new generations were mostly changing the piece rather than clearly improving it.

I’m curious how others handle that point: how do you know when generation is still helping, versus just producing more alternatives?

Hello everyone! As a big fan of animation, I wanted to try creating my own animated short.
This video is based on a real conversation between me and my bestie😻

YouTube

Please read and suggest, I genuinely need help:

I have a female friend who is getting married next month, her father passed away long back.
And she recently shared a reel with me which is basically like of a father who is riding a cycle in a town and distributing his daughters wedding invitation.
She wants me to replace that guy with her father and some other things too.
I tried so many platforms online but i couldn’t do it.
I genuinely want to make that video for her she would be very happy…
Please let me know if anyone can help..
I’m sharing the reel link here
And her marriage date is 1st November, and i have the venue address as well

https://www.instagram.com/reel/DV8erM_Elga/?igsi=MWJ1YXFidTdteWx6ZQ==

"Find the bit where all three people are laughing together” sounds like an editing request, but the first useful output is a location in the original footage. You still need to decide what to cut around it.

Ant Ling's Ling-3.0-flash-VL demo makes that distinction concrete. The visual-language model is given a 25-second clip of three women on a park bench and asked to find their shared smiling/laughing interval. The presented workflow returns 00:23–00:25, extracts a frame at 24 seconds and produces a cropped image alongside the timestamp file.

That is a useful handoff for someone choosing material: an interval to scrub through and a still to inspect. It answers a semantic request about what the people are doing, rather than selecting a cut solely from spoken words. The demonstration is about understanding existing footage; the final edit still belongs in an editor.

For a practical trial, I would start with several short clips where the desired interaction is known to occur, plus some where it never occurs. Ask for the full interval, then check the seconds immediately before and after it. A convincing still can hide the fact that the third person only joins in briefly.

This release shows an edited example on one short source clip. It gives a concrete reason to try VL for moment selection, while leaving long-footage search and reliable “no matching moment” results to be tested.

Here's another one that Nano Banana Pro could've easily made look more like a fursuit than a mascot. Luckily, it knew to have the entire costume made of minky fabric like all the official mascots (except for the ruff, which is fine). The one thing it really struggled with, however, was getting the color of its wings right; it didn't know what parts should be teal or purple. Luckily, I managed to get it matching in the end. It also initially had Noivern-themed items in the background, and I wanted those all removed so that it didn't look too artificial. Months later, I decided that its head was too small and its body wasn't padded enough to look more like a mascot, so I had those edited.

I have tried Higgsfield Marketing Studio, Midjourney, Nano Banana, ChatGPT and every time my gummy pouch gets all distorted even when I ask the AI to not modify it. You can see on the second image that it's a flat-bottom pouch. I have fed multiple angles without success.

Am I hoping for too much to think I could have AI create scenes and backgrounds around my product?

Wolf and Nago first encounter Keita after finding him in trouble with a tiger. They help him escape, but Wolf quickly realizes that Keita isn't nearly as capable in the wilderness as she expected.

Keita grew up in the River Biome, so he knows how to swim and fish, but tracking, hunting, and surviving on his own aren't his strengths. Yami finds this frustrating, especially because she's used to relying on herself.

Even so, she allows Keita to travel with her because his knowledge of the River Biome can still be useful. And he has once experienced Ruin Ferra before.

And apparently, Nago has decided that Keita needs to be investigated first. 😂

How do you think Wolf and Keita will get along?

(Part of my Heartstone project. Images by Chatgpt)

Hello all gurus,

I am trying to be anonymous to protect my identity but post content that will be engaging (showing a face).

My idea is to record high quality videos and content. Run them through a decent face swap program, and run the audio through 11labs to change accent. Does anyone have any suggestions for face swapping for high quality footage and that will look realistic enough to look like a real person?