u/Beautiful_Egg6188

Dataset of 43 images, captioned with qwen3 VL 4B instruct,

50 word caption focusing on: Composition, Subject's hair, expression, clothes, pose, background

Training Parameters: (10 rep x 43 image) x 6 epoch, saved every 430 steps.

resolution: 512, 768, learning rate 0.0001, Optimizer: Automagic v2,

cache text embeddings, cache latents,

My setup is RTX 4070 super + 64gb RAM + Paging file size: 65536

I had to offload my text encoder 100% and Transformer 75%

Each LoKr tested with same caption + Noise on Krea2Turbo, i trained some character loras before, this feels very similar to the LoRAs. Not many ground breaking improvements, but got decent results from early 2k steps.

https://civitai.red/models/2787790/artstyle-kuvshinovilya
Used the base/Raw version of the model on AIToolkit, 2220 steps total, resolution was set to 512, 768. Dataset had 37 images total.

all the images had simple caption about the subject and background, each caption under 50 words. No style described.
So works pretty well even without the trigger word "Kuvshinov_Ilya"
If using with other 3d styles, or realistic characters, its best to use this in your prompt. "Kuvshinov_Ilya, clean sharp line art, Soft focus, low bloom effect"

Took me 3.5 hours to train the model on rtx 4070 super + 64GB Vram. krea 2 Raw Model offloading set to 73% (works for me) on float8. everything else was set to default. Cached captions.

The current version is stronger one, it might push the characters to more feminine look, but a softer 1100 step version will be added soon. i have only tested a few prompts and it works much better for male characters.

Shots generated with Krea2+ my lora. Tried moving camera with more motion this time. LTX2.3 can barely adhere to the prompt. does random things, bad motion, and hand movement. took multiple attempts to only get one decent shot to use. Some of them I'm still not very pleased with.
Used Default ComfyUI workflow, used the "--novram" inside bat file.
my setup is rtx4070Super 12GB+ 64GB ram, Virtual Memory set to 64GB as well.
https://www.reddit.com/r/StableDiffusion/comments/1uxfwrw/havent_used_a_model_this_much_since_flux1dev/

set the frame rate to 18fps, and resolution to 720p, 6 second video takes 70-80 seconds once the clip loader is done with its work
generated the images with Krea2+ My lora
https://www.reddit.com/r/StableDiffusion/comments/1uxfwrw/havent_used_a_model_this_much_since_flux1dev/

Trained this art style lora for Krea2 after seeing this reel https://www.instagram.com/reels/Dazx5BIugLd/

Lora: https://civitai.red/models/2781650/idontknowhowtonamethisartstyle?modelVersionId=3132897

the model is already loaded with so many styles and characters. i tried training it with a style from https://www.instagram.com/tonybamber/. I would say its about 80% there. but something just doesn't click here.
4860 steps, 10 repeat, 8 epoch, 54 images, (512, 768 resolution)
LoRA here: https://civitai.red/models/2753173/midjourney-tonyb?modelVersionId=3097602

i keep discovering new things with this model

I can reuse hex codes, Aesthetic, and photo description to get a similar vibe over multiple images. An open source model provides much better control over all the other closed models.

each image took about 2 minutes, 20 steps, 1920x1088, on rtx 4070super+ryzen7700+64gb ram
all prompts are json formatted.

left Ideogram 4 fp8, right Zit. the generation still takes too long for IdG (70sec for turbo, 2mp. Zit does it in 30 sec)
ZiT just feels more natural looking compared to Ideogram4. But the control over characters/ objects is crazy. idg4 would have made a great edit model instead of just a t2i model.

High prompt adherence and control are the only reason to use it right now
Takes too long to generate
quality is decent but not as good as some other opensource models
Odd safety filter blocks on random.

there is this weird thing on the bottom of the screen that just doesnt go away. Ive tried generating multiple videos, with different resolution and settings. but this stays will all of them. how do i fix it