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Sdart Somewhere
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Sdart Somewhere

Developed by Guizmus
A text-to-image model trained on Stable Diffusion 1.5, focusing on abstract self-expression and self-discovery through creative image generation
Image Generation EnglishOpen Source License:Openrail#Art style transfer#Abstract self-expression#Environmental metaphor generation
Downloads 75
Release Time : 3/13/2023

Model Overview

This model encourages users to explore abstract forms of self-expression by combining environmental elements with inner states. It was trained on entries from the 'Weekly Image' competition in the Stable Diffusion Discord, preserving the creative styles of participants.

Model Features

Creative self-expression
The model encourages users to metaphorically express inner states through environmental landscapes, achieving abstract self-expression.
Multi-artist style fusion
Incorporates styles from 46 different artists' competition entries, offering diverse creative possibilities.
Low learning rate training
Trained with a lower learning rate to avoid simple replication of existing works, preserving creative inspiration rather than direct copying.

Model Capabilities

Text-to-Image
Creative art generation
Abstract concept visualization
Multi-style image generation

Use Cases

Art creation
Inner landscape visualization
Transforms personal emotions and inner states into concrete environmental landscape images
Generates metaphorical images such as ruins, dungeons, lighthouses, etc.
Concept art creation
Designs unique scene concept art for stories or games
Generates environmental images with specific emotional atmospheres.
Creative exploration
Self-discovery tool
Explores subconscious personal expression through image generation
Produces unique images reflecting personal traits.
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