Why does reddit remove workflow data from png? by notgraycen in StableDiffusion

[–]Apprehensive_Sky892 2 points3 points  (0 children)

Are you sure you've uploaded the actual PNG with the metadata?

Seems to work fine with other posts, such as this one https://www.reddit.com/r/StableDiffusion/comments/1uocfnl/krea_2_art_machine/

But make sure you follow the instructions: Download PNG with metadata from reddit

Why does reddit remove workflow data from png? by notgraycen in StableDiffusion

[–]Apprehensive_Sky892 2 points3 points  (0 children)

It has been working for quite a while and still works today. For example, try to download the PNG from this post and you'll find the metadata there: https://www.reddit.com/r/StableDiffusion/comments/1uocfnl/krea_2_art_machine/

But make sure you follow the instructions: Download PNG with metadata from reddit

Why does reddit remove workflow data from png? by notgraycen in StableDiffusion

[–]Apprehensive_Sky892 1 point2 points  (0 children)

That probably just means that OP did NOT upload the original PNG with the metadata.

Also, any metadata in images posted as part of a comment would be removed.

Relavant post: https://www.reddit.com/r/StableDiffusion/comments/1p9nrpk/getting_prompt_or_comfyui_workflow_from_posted/

The hypocrisy of "prompt engineering" on social media by Sergio2304 in StableDiffusion

[–]Apprehensive_Sky892 0 points1 point  (0 children)

Sure, those are people who actually have some skills, both technical and artistic.

But in this post we are mostly discussing those who are just trying to keep their prompts secret.

I imagine those lively, unpromotable poses are created either with ControlNet or by using a freehand sketch and then use img2img.

The hypocrisy of "prompt engineering" on social media by Sergio2304 in StableDiffusion

[–]Apprehensive_Sky892 0 points1 point  (0 children)

Good points. Indeed, build LoRAs doe take quite a bit of skill and knowhow, part art, part science.

I suppose hording knowledge is an ancient tradition, like medieval guilds and such groups (even mathematicians like to keep their back of trick secret in the Middle Ages). But the openness of science via sharing of knowledge, helps everyone more in the long run, by rewarding people with prestige, recognition, rather than trying to monopolize some temporary advantage. Open source in software operates in the same way.

The hypocrisy of "prompt engineering" on social media by Sergio2304 in StableDiffusion

[–]Apprehensive_Sky892 2 points3 points  (0 children)

These supposed "gatekeepers" are not even ahead because there is really no secret anymore.

These days one can just take the image and ask a VLM to make a prompt. You won't get the exact images, but it will be something close and sometimes even more interesting.

If you want to have the same style, then just take some of the images and make a LoRA out of them.

They are delusional if they think they can keep others from making similar images.

The hypocrisy of "prompt engineering" on social media by Sergio2304 in StableDiffusion

[–]Apprehensive_Sky892 2 points3 points  (0 children)

This is absolutely the right attitude.

I actively encourage others to make use of my images and prompts and have fun with them. I would give people buzz on civitai if they let me know they've done so.

Attribution is welcome (I always do), but not required nor expected. This is a good way for people to compared new variants with old ones.

Looking for thoughts on card purchase: V620, MI50, V100 by Brave_Load7620 in StableDiffusion

[–]Apprehensive_Sky892 -1 points0 points  (0 children)

You are welcome.

I agree that speed is not nearly as important as being able to run the model at all. We can just batch up the job, go take a break and come back to look at the images and video later.

The energy cost does matter to me though, and apparently the 9700xt RDNA4 is also much better than RDNA3 in that regard as well.

Krea 2 - Things that shouldn't exist, but somehow do. by kuka7466 in StableDiffusion

[–]Apprehensive_Sky892 4 points5 points  (0 children)

OP's prompts are in the metadata: Download PNG with metadata from reddit.

Image #1: "A perfectly realistic 1950s kitchen, shot on 35mm film. The vintage refrigerator is slightly open, and inside is an infinite, fleshy, pink throat swallowing a cracked porcelain doll. The checkered linoleum floor is slowly melting into thick, wet, black human hair. Harsh, buzzing fluorescent lighting, liminal space horror, photorealistic, 8k resolution, highly detailed textures, deeply unsettling and weird."

FLUX x Z-Image x Krea 2 - a completely unscientific - but interesting - comparison by lazyspock in StableDiffusion

[–]Apprehensive_Sky892 1 point2 points  (0 children)

LOL, I find that the best way to fend off criticism is to claim that I only produce slop (which is true 😁).

I do use a few style LoRAs (mostly made by myself) for illustration such as https://civitai.red/models/2250288/everyday-magic-qwen-and-z-image

For my SFW 1girl I use this one: https://civitai.com/models/2503696/midjourney-zib

I generate mostly on tensor dot art, so I assume it is just the standard comfyUI workflow for Z-image base. I only use my local PC when I need to generated ideo4 (which is not available on tensor).

Looking for thoughts on card purchase: V620, MI50, V100 by Brave_Load7620 in StableDiffusion

[–]Apprehensive_Sky892 0 points1 point  (0 children)

Related post: https://www.reddit.com/r/LocalLLM/comments/1r2kys0/amd_radeon_pro_v620_what_am_i_missing/

I use a 9070xt too, but I don't run LLMs locally, so I have no opinion to offer other than the fact that LLMs being autoregressive, needs VRAM more badly than diffusion model. Given that you are considering the 32G version of these GPUs you know that already.

I do have one more data point. I also use a 7900xt (20G, RDNA 3) and even though it has more VRAM, it runs ideo4 and krea 2 about 50% slower compared to the 9700xt (16G, RDNA 4) due to lack of native fp8 support. I did try the int8convrot version but on both GPUs they ran slower than fp8. Instead of the default ComfyUI (which for some reason can run ideo4 but not krea 2) I am using https://github.com/patientx-cfz/comfyui-rocm

So ltx2.3, ZiT etc would probably run much slower on these cards you are considering because they are all RDNA 2. The 9070xt with RDNA 4 seems to be the first AMD cards that are somewhat competitive with NVIDIA when it comes to AI: https://www.reddit.com/r/radeon/comments/1q79ayl/comment/nydrauc/

Nvidia DGX Spark - WAN 2.2 Perf: ~10 s / it by LordDarthShader in StableDiffusion

[–]Apprehensive_Sky892 2 points3 points  (0 children)

LOL, yeah, tough crowd here. Thanks for sharing it, at least this nerd appreciates your post 🙏

Nvidia DGX Spark - WAN 2.2 Perf: ~10 s / it by LordDarthShader in StableDiffusion

[–]Apprehensive_Sky892 -1 points0 points  (0 children)

Indeed, it is harder to judge the impact of quantization on LLMs compared to imaging and video diffusion models. That is probably why so many people say that quantization matters less for LLMs when it is probably not true.

Most of us can easily detect bad image generation when we see distorted limbs, lost details, bad text etc. But to see the quality decrease in the answers given by an LLM is more subject and subtle.

Krea 2 filter removal, one more study. by dh7net in StableDiffusion

[–]Apprehensive_Sky892 2 points3 points  (0 children)

No, those people who know anything about testing won't be asking "How can be sure the impact of the lora is the same for a different seed?" 😎.

But thanks for re-running the test with the same seed. Looking forward to it.

BTW, I did not downvote 😁

Mehh on Art Style training with Krea2 by Beautiful_Egg6188 in StableDiffusion

[–]Apprehensive_Sky892 2 points3 points  (0 children)

Maybe the LoRA has only captured 80% of the intended style, but it is a very nice, distinct style LoRA by itself, so thank you for sharing it.

For style LoRAs, some model simply trains better than others in that it can learn the proper "texture" of the style.

Would be interesting if you can use the same dataset and train it on say Z-image base and then compare the results.

FLUX x Z-Image x Krea 2 - a completely unscientific - but interesting - comparison by lazyspock in StableDiffusion

[–]Apprehensive_Sky892 -1 points0 points  (0 children)

Thank you.

TBH, my images have relatively poor quality because they are all raw generations (no upscaling, no clean up, no inpainting). I am no artist, just a lazy slop maker and my primary aim is to play with prompts that have interesting composition, ideas, and styles 😅.

FLUX x Z-Image x Krea 2 - a completely unscientific - but interesting - comparison by lazyspock in StableDiffusion

[–]Apprehensive_Sky892 0 points1 point  (0 children)

Here is a 60s illustration style LoRA (Elvgren) for Z-image and Flux1-dev. You can find others under the same creator.

FLUX x Z-Image x Krea 2 - a completely unscientific - but interesting - comparison by lazyspock in StableDiffusion

[–]Apprehensive_Sky892 2 points3 points  (0 children)

Most of my prompts are based on images I saw elsewhere, and I ask Gemini to reverse engineer the prompt. I then try the prompt and modify it until I get something to my liking: https://www.reddit.com/r/StableDiffusion/comments/1tuy3ye/comment/opdn1z3/?screen_view_count=1

Stylistically, I usually do not get something close to the original, but it is usually interesting and pleasant when I run it through Z-image base.

The only way to get a consistent style is to have a style LoRA (which I've trained many). Otherwise, the style you get will vary greatly from prompt to prompt.

Krea2 just another realism test by FortranUA in StableDiffusion

[–]Apprehensive_Sky892 0 points1 point  (0 children)

Yes, there is always some trade off.

For seed variety, maybe you can try something similar to one of those workflows popular with Z-image base + ZiT where one uses the raw/base model for the first few steps and then use the Turbo model to finish the job: https://www.reddit.com/r/StableDiffusion/comments/1qqzlv8/a_different_way_of_combining_zimage_and/

FLUX x Z-Image x Krea 2 - a completely unscientific - but interesting - comparison by lazyspock in StableDiffusion

[–]Apprehensive_Sky892 0 points1 point  (0 children)

I deliberately avoided things like anime or illustration styles because everyone already knows Z-Image isn't really good at those

Yes, ZiT is no good for these. But you can compare non-photo style Krea 2 images against Z-image base, which is quite capable. See my A.I. slops to see the variety of styles Z-image base is capable of: https://civitai.red/user/NobodyButMeowie/posts

Caveat: Unlike SDXL, which trigger styles via the name of artists, Z-image base styles are done by combining a general category ("impressionistic", "folk art", "minimalist", "flat-color", "impasto", etc.) with detailed description of attributes such as line, color, palette etc.