Originally posted to HuggingFace by pixel-point and shared on Reddit
Learn more about the creation process and how to use this on Alexey's blog
2D to 3D Emoji is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user pixelpoint. Derived from the powerful Stable Diffusion (SD 1.5) model, 2D to 3D 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 2D to 3D Emoji is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as emoji, 2d-to-3d, converter.
With a rating of 0 and over 0 ratings, 2D to 3D Emoji is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of 2D to 3D Emoji from here.
To use 2D to 3D 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 2D to 3D Emoji, check out our crash course in AI image generation.
A dataset of 30 emojis. (trained on Google Colab based on the 4 GB original model sd-v1-4.ckpt) with a dataset of 30 images and 3000 training steps.
Go ahead and upload yours!
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