pmejna
About model
Style model for Stable Diffusion. Its main purposes are stickers and t-shirt design.
Copyrights and support
If you like what I am doing and you want to support my current and upcoming projects: here is my coffee jar
I am a huge fan of open source - you can use it however you like with only restrictions for selling my models. If you like it - I will appreciate your support. I spend real money on training. Cheers!
Installation:
As it is a model based on 2.1 to make it work you need to use .yaml file with the name of a model (vector-art.yaml). The yaml file is included here as well to download. Simply copy paste to the same folder as selected model file. Usually, this is the models/Stable-diffusion one.
Versions:
Currently, there is only one version of this model - alpha.
Black images issue:
2.1 models need to have a web-ui config modified - if you are getting black images - go to your config file and add to COMMANDLINE_ARGS= --no-half - potentially it could work with --xformers instead (if supported). This line might slow your generation a bit but will not affect negatively your output.
Usage:
What is Sticker-art?
Sticker-art is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user pmejna. Derived from the powerful Stable Diffusion (SD 2.1) model, Sticker-art 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 Sticker-art is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as t-shirt, stickers, shirt.
With a rating of 4.13 and over 8 ratings, Sticker-art is a popular choice among users for generating high-quality images from text prompts.
Can I download Sticker-art?
Yes! You can download the latest version of Sticker-art from here.
How to use Sticker-art?
To use Sticker-art, 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 Sticker-art, check out our crash course in AI image generation.
