Paul Cezanne
A training model based on flux learning, capable of generating oil paintings in the style of Paul Cezanne
Downloads 145
Release Time : 5/2/2025
Model Overview
This model utilizes LoRA fine-tuning technology to accurately capture Paul Cezanne's artistic style and generate oil paintings with his distinctive characteristics.
Model Features
Precise Artistic Style Capture
Capable of accurately imitating Paul Cezanne's painting style and technique characteristics
High-Quality Training Data
Trained using high-quality open image resources released by authoritative art institutions
Multi-Platform Compatibility
Supports various platforms including ComfyUI, AUTOMATIC1111, SD.Next, and Invoke AI
Model Capabilities
Text-to-Oil Painting Generation
Artistic Style Imitation
High-Resolution Image Generation
Use Cases
Artistic Creation
Cezanne-Style Still Life Generation
Generate still life oil paintings in Cezanne's style, such as fruits, vases, etc.
Generated images exhibit Cezanne's typical brushstrokes and color usage characteristics
Landscape Painting Creation
Generate pastoral villages or coastal landscapes in Cezanne's style
Works showcase Cezanne's unique approach to space and form
Art Education
Artistic Style Research
Used for studying Cezanne's artistic style and technique characteristics
Can quickly generate numerous reference samples for analysis
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