Originally posted to <a href="https://huggingface.co/pixel-point/stable-diffusion-microsoft-emoji" rel="ugc" target="_blank">HuggingFace by pixel-point</a> and <a href="https://www.reddit.com/r/StableDiffusion/comments/zmomeu/creating_a_stable_diffusion_dreambooth_2d_to_3d/" rel="ugc" target="_blank">shared on Reddit</a>Learn more about the creation process and how to use this on <a href="https://pixelpoint.io/blog/ms-fluent-emoji-style-fine-tune-on-stable-diffusion/" rel="ugc" target="_blank">Alexey's blog</a>

2D to 3D Emoji

The largest dataset with 850 emojis. I manually removed overly complex or simple images, as well as all people and faces, so that only objects and animals remained. The model was trained for two days (others were trained for 2-4 hours for comparison).

Files with SHA256: e0bd37b44e9b4e0ad8ddb839ad0300c41f85bcdecbe3bc4a5e270ac38edf7485