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Nitro Diffusion

Developed by nitrosocke
The first multi-style Stable Diffusion model trained from scratch, supporting flexible mixing and individual invocation of three artistic styles
Downloads 512
Release Time : 11/16/2022

Model Overview

A multi-style image generation model based on the Stable Diffusion architecture, capable of handling Archer style, Arcane style, and Modern Disney style simultaneously, with support for style mixing and weight adjustment

Model Features

Multi-style synchronous support
The first model to support fine-tuning of three artistic styles (Archer/Arcane/Modern Disney) simultaneously without interference
Dynamic style mixing
Achieve style mixing and weight adjustment through prompt combinations, such as 'arcane archer modern disney'
Cross-domain generation capability
Capable of generating various content including character portraits (e.g., Gal Gadot) and object scenes (e.g., Audi TT cars)

Model Capabilities

Text-to-image
Image-to-image
Art style transfer
Multi-style hybrid generation

Use Cases

Art creation
Multi-style character design
Generate unique artistic character designs by combining different style prompts
As shown in the example of Gal Gadot's hybrid style portrait
Scene concept design
Generate environment scenes with specific artistic styles for the gaming/film industry
As shown in the example of the Audi TT car scene
Creative experimentation
Style weight adjustment
Explore different style mixing effects by adjusting prompt weights
As demonstrated in the animated examples of Batman/Lara's image gradient effects
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