Winslow Homer Open-Source Art Style Model - Free Deployment to Imitate Winslow Homer's Painting Style

Winslow Homer

Developed by openfree

LoRA fine-tuned model based on flux learning, specifically imitating Winslow Homer's artistic style

Image Generation Open Source License:Other #Art Style Transfer #Watercolor Oil Painting Generation #LoRA Fine-tuning

Downloads 61

Release Time : 5/2/2025

Model Overview

Trained on carefully selected high-definition masterpieces of Winslow Homer, this model accurately captures the delicate techniques and stylistic features in his watercolor and oil paintings

Model Features

Precise Artistic Style Reproduction

Highly reproduces Winslow Homer's distinctive watercolor and oil painting techniques

High-quality Training Data

Trained using premium open image resources released by authoritative institutions like the Art Institute of Chicago

Multi-platform Compatibility

Supports various platforms including ComfyUI, AUTOMATIC1111, SD.Next, and Invoke AI

Model Capabilities

Artistic Style Image Generation

Watercolor Style Conversion

Oil Painting Style Conversion

Natural Scene Artistic Processing

Use Cases

Digital Art Creation

Watercolor Landscape Generation

Generates Winslow Homer-style watercolor landscapes based on text descriptions

Examples show typical scenes like birds flying over water and trees

Oil Painting Scene Recreation

Generates oil painting style images featuring Homer's characteristic maritime and sailing themes

Examples include classic compositions like men standing on sailboats

Art Education

Art Style Research

Used for studying 19th-century American art style characteristics

🚀 winslow-homer

This project developed a flux-based learning model. It was trained on a carefully curated collection of high - resolution masterpieces from well - known global artists. Through the LoRA fine - tuning process, leveraging high - quality open - access imagery from institutions like the Art Institute of Chicago, the model can capture the nuanced artistic techniques and stylistic elements of diverse historical art movements.

🚀 Quick Start

Trigger Words

You should use homer to trigger the image generation.

Download and Use the Model

The model weights are available in Safetensors format. You can Download them in the Files & versions tab and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/winslow-homer', weight_name='winslow-homer.safetensors')
image = pipeline('a watercolor painting of birds flying over a body of water, with trees in the foreground and a sky filled with clouds in the background. [trigger]').images[0]
image.save("my_image.png")

✨ Features

The model is trained on high - resolution masterpieces from renowned global artists.
It uses LoRA fine - tuning and open - access imagery from prestigious institutions.
It can capture the nuances of diverse historical art movements.

📚 Documentation

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

📄 License

This model is under the flux - 1 - dev - non - commercial - license. You can view the full license at license link

🔗 Related Links

https://huggingface.co/openfree/claude - monet
https://huggingface.co/openfree/pierre - auguste - renoir
https://huggingface.co/openfree/paul - cezanne
https://huggingface.co/openfree/van - gogh
https://huggingface.co/openfree/winslow - homer

👥 Community

Join our community on Discord: https://discord.gg/openfreeai

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