Attempts to imitate Ilya Kuvshinov's style. This is a Dreambooth model based on Anything v3. Best when used in combination with this textual inversion:
https://civitai.com/models/202/kuvshinov
The example images with the embedding upload look amazing, but that's because they're actually the training images and not the generated output. The examples here are generated output from the model.
Not affiliated with Ilya Kuvishinov.
Kuvshinov style is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user _Envy_. Derived from the powerful Stable Diffusion (SD 1.5) model, Kuvshinov style has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Kuvshinov style is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, kuvshinov, style.
With a rating of 4.67 and over 3 ratings, Kuvshinov style is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Kuvshinov style from here.
To use Kuvshinov style, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Kuvshinov style, check out our crash course in AI image generation.
This actually took about 12,200 training steps, despite the name. My disc filled up just after step 8,000, so I resumed the training for another 4,200 steps.
Many example images were generated with this prompt (prompts for each image are included in metadata):
I also used the textual inversion embedding linked above: https://civitai.com/models/202/kuvshinov
Note that I didn't spend a whole lot of time experimenting with prompts, so I'd be interested to see what other people come up with.
Go ahead and upload yours!
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