Anyataylorjoy FluxLora
A text-to-image model trained using AI-Toolkit (Flux.1 Dev Edition), utilizing 20 publicly available images for local training, focusing on character feature restoration.
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Release Time : 11/1/2024
Model Overview
This model is a text-to-image generation model based on the Stable Diffusion architecture, specifically optimized for generating portrait images of Anya Taylor-Joy. Supports low-rank adaptation modules and flux-guided technology.
Model Features
Low-Rank Adaptation Technology
Supports low-rank adaptation modules with intensity levels of 0.8-1.2 for fine-tuning model outputs.
Flux Guidance
Supports 3-4 levels of flux guidance to enhance the quality and consistency of generated images.
Character Feature Restoration
Focuses on 100% restoration of specific character features, typically resulting in larger model files compared to similar products.
No Trigger Words Required
No need to use specific trigger words when generating images.
Model Capabilities
Text-to-Image Generation
Portrait Generation
Stylized Image Generation
Use Cases
Creative Arts
Portrait Creation
Generate Anya Taylor-Joy style portraits based on text descriptions.
Sample images showcase various styles of character portraits.
Concept Art Creation
Generate concept art images for film, gaming, and other projects.
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