Trained upon Microsoft Fluent-Emoji which is described as "a collection of familiar, friendly, and modern emoji from Microsoft"
The Emoji file names were converted to become the text descriptions. It made the model learn a few special words: "flat", "high contrast" and "color"
FluentUI Emoji is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user norod78. Derived from the powerful Stable Diffusion (SD 1.5) model, FluentUI Emoji 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 FluentUI Emoji is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as vector, emoji.
With a rating of 0 and over 0 ratings, FluentUI Emoji is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of FluentUI Emoji from here.
To use FluentUI Emoji, 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 FluentUI Emoji, check out our crash course in AI image generation.
This is a v2.1 derived version. You will need to copy both the .ckpt as well as the .yaml file to your models/Stable-Diffusion folder
Stable-Diffusion v2.1 fine-tuned for 10k steps using Huggingface Diffusers train_text_to_image script upon Norod78/microsoft-fluentui-emoji-512-whitebg
This model version is also available in both Diffusers as well as Checkpoint formats on its Model card in Huggingface
The inference widget embedded in the model card can be used for quickly trying it out