krea anime V2
A well-balanced model that combines flexibility, precision, and a high level of detail; in terms of quality, it’s hot on the heels of Krea 2 Anime UWU v1 + Qwen Image 2.1.
It is recommended to use the text encoder proposed in 1.7.
8-12 step
euler\simple (I haven't tested it on others)
image resolution 1–1.3–1.5–2-3 MP
have fun)
krea anime 1.7
The following TE is used for inference
It’s also attached to the card, even though the author said it wasn’t necessary to credit them. The encoder is genuinely good.
As for mine... um... well, it looks like this...
Yeah, it’s still taken apart, but at least it works.
krea 2 anime
The model was trained on a high-quality dataset of over 3,000 images; approximately 350 of these consist of my own drawings and AI-generated images that I edited using drawing software.
Qween VL annotation + manual corrections
I consider this model one of the strongest and most powerful I have ever released.
The download fee is nominal. The hardware required to train the Krea 2 model on a large dataset is expensive; even though I can afford to train it locally—my PC costs around $5,000–$6,000 (and I’m currently upgrading it)—it still places a massive strain on the system. I need the funds to enable generation using this model on Civitai and possibly to purchase some cosmetics on the platform. I have previously released a large number of models completely for free, and I hope you understand my decision in this instance.
I was really impressed by this model's performance—specifically its speed and flexibility. I had originally planned a large-scale fine-tuning project for Z-Image, but I changed my mind and decided to focus on Krea 2 instead. At the moment, I have a "raw" dataset of 350,000 images (about 20,000 have been processed so far; manual filtering weeds out roughly 60–70% of the material, leaving a final set of around 100,000 images), as well as a high-standard, carefully curated regularization set. Additionally, I plan to compile a supplementary set of about 20,000 images featuring game characters (primarily from HoYoverse titles) if I determine they are underrepresented in the main dataset, given that the base Krea 2 model doesn't recognize them very well—and is unfamiliar with many of them entirely.
int 8 model
euller\simple 8 step
Image resolution 1.0–1.3–1.5 MP
Description
The model has learned to generate yandere and NSFW content (though the latter was not a specific focus during training).
It was trained on over 60,000 images from Danbooru (covering the 2024–2026 period), using Danbooru’s own tagging/labeling system.
Additionally, the weights were fine-tuned using a set of tools I developed. Although this is an INT8 model (chosen for compactness and speed), it outperforms many BF16 models in terms of quality and detail, thanks to the weight adjustments I performed.