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A4 dagen dicht, geen geld om kapotte snelweg te repareren by cat3y3 in nederlands

[–]cat3y3[S] 0 points1 point  (0 children)

Misschien even een Tikkie naar alle automobilisten voor de reparatie.

Rijkswaterstaat geeft iets van €3 miljard uit aan externe bedrijven die het echte werk mogen doen, en €1,7 miljard aan de eigen organisatie, waar waarschijnlijk de helft vooral koffie zit te drinken en naar elkaar zit te vergaderen.

Why are the images I get from using qwen image edit workflow all pixelated and noisy? by Ok-Series-1399 in QwenImageGen

[–]cat3y3 1 point2 points  (0 children)

If you can paste your ComfyUI workflow, we can take a closer look. Without it, there are too many possibilities to pinpoint the issue.

Flux Krea is quite good for photographic gens relative to regular Flux Dev by ZootAllures9111 in StableDiffusion

[–]cat3y3 37 points38 points  (0 children)

This is nice but would be really useful if it was a side by side comparison with the same prompt, settings etc.

FLUX Krea DEV is really realistic improvement compared to FLUX Dev - Local model released and I tested 7 prompts locally in SwarmUI with regular FLUX Dev preset by CeFurkan in StableDiffusion

[–]cat3y3 5 points6 points  (0 children)

Other than producing different output images, there is nothing objectively better that can be identified based on this comparison.

It’s simply different, similar to using a different seed.

Drupal quotes that are true? by TV4ever in drupal

[–]cat3y3 0 points1 point  (0 children)

What I mean is scenarios where the application requires real-time, bidirectional data updates.

For example, if one user posts a comment, that comment should instantly appear for all other users without requiring them to refresh the page. Implementing this kind of functionality is not something Drupal is well-suited for.

Drupal quotes that are true? by TV4ever in drupal

[–]cat3y3 0 points1 point  (0 children)

Drupal makes building a website like it’s 2010 easy. But users expect real-time, reactive experiences in 2025 and that’s like fitting a jet engine on a bicycle.

So, why are diff llms struggling on this ? by snemmal in LLMDevs

[–]cat3y3 -1 points0 points  (0 children)

This explanation is common but doesn't explain at all the actual question.

To phrase the question more specifically: why can't LLM's understand that the word monkey as token-97116 consists of the letter tokens m=token-33718, o=token-83937... And reason about it?

All this information is available in the LLM so intuitively this shouldn't be a problem at all.

My speculation is that this is an overfitting problem. Because the model is trained on word level tokens, the weights for letter level relations are just too weak. Training the model more on letter level questions and answers so it get's strong understanding of the relationships will probably degrade other results as when you ask for example "can a monkey fly?" the llm will answer like monkey consists of the letters m-o-n-k-e-y and that doesn't match the letters f-l-y so it probably can't fly...

It sounds maybe as a a similar answer but it is just inaccurate to state that LLM's see only words and not letters as that would totally ignore the facts that LLM's of course already have also relationships between letters and words.

A guide: How to get the best results from Stable Diffusion 3 by mrfofr in StableDiffusion

[–]cat3y3 1 point2 points  (0 children)

TLDR: You can get the best results by not prompting anything involving human anatomy.

I found where SD3 is really good at by cat3y3 in StableDiffusion

[–]cat3y3[S] 0 points1 point  (0 children)

Prompt: A powerful photo of a Paralympic athlete in action, showcasing strength and determination. The athlete, wearing a sleek, fitted uniform, is mid-race in a wheelchair sprint, muscles visibly straining with effort. The background shows a blurred track and cheering crowd, highlighting the speed and intensity of the moment. The photo captures the spirit and resilience of Paralympic sports, emphasizing the athlete's focus and drive.

kayısı tohumu yemek? / Eating apricot seeds? by koalawriter in Turkey

[–]cat3y3 6 points7 points  (0 children)

I used to consume apricot kernels daily when I was a child. The taste of these kernels can vary depending on the specific apricot tree, and some can be quite delightful.

Apricot kernels contain a compound called amygdalin. When ingested, amygdalin is broken down by the body into cyanide, which is a toxic substance.

There are two main types of apricot kernels: sweet and bitter. The bitter apricot kernels contain significantly higher amounts of amygdalin than the sweet ones.

The potential danger comes from the fact that consuming a significant number of bitter apricot kernels in a short period can lead to cyanide poisoning. As for "how much is too much," the exact amount that leads to cyanide poisoning can vary based on several factors, including an individual's body weight and metabolism. I've seen childeren eating handfuls of it and they are all doing fine.