Reynolds Oil Style LoRA Models

A collection of LoRA (Low-Rank Adaptation) models trained to generate images in the distinctive Reynolds oil painting style using Stable Diffusion 3.5 Large.

Models Overview

This repository contains four different model variants, each trained with different captioning strategies and optimizers:

Model Version	Captioning Strategy	Optimizer	Description
v0b	PREFIX	PRODIGY	Optimized with Prodigy optimizer using prefix-style captions
v0c	PREFIX	ADAMW8BIT	Optimized with AdamW 8-bit using prefix-style captions
v0d	CONTEXT	PRODIGY	Optimized with Prodigy optimizer using contextual captions
v0f	CONTEXT	ADAMW8BIT	Optimized with AdamW 8-bit using contextual captions

Dataset

All models were trained on the same high-quality dataset:

Dataset Source: mushroomfleet/reynolds-oil-style
Base Model: Stable Diffusion 3.5 Large
Training Type: LoRA (Low-Rank Adaptation)

Usage

Basic Usage with Diffusers

from diffusers import StableDiffusion3Pipeline
import torch

# Load the base model
pipe = StableDiffusion3Pipeline.from_pretrained(
    "stabilityai/stable-diffusion-3.5-large",
    torch_dtype=torch.float16
)

# Load the LoRA weights (replace with your chosen variant)
pipe.load_lora_weights("mushroomfleet/reynolds-oil-style", weight_name="reynolds-oil-style-b")

# Generate an image
prompt = "a majestic landscape in the style of Reynolds oil painting"
image = pipe(prompt, num_inference_steps=28, guidance_scale=7.5).images[0]
image.save("reynolds_style_output.png")

ComfyUI Usage

Download the desired model files (.safetensors)
Place them in your ComfyUI/models/loras/ directory
Use the "Load LoRA" node in your workflow
Set the strength between 0.7-1.2 for optimal results

Model Differences

Captioning Strategies

PREFIX captions: Captions begin with style descriptors, helping the model associate the style trigger more directly
CONTEXT captions: Captions integrate style information contextually within the description

Optimizers

PRODIGY: An adaptive learning rate optimizer that can provide better convergence for some datasets
ADAMW8BIT: Memory-efficient version of AdamW optimizer, good for stable training

Recommended Settings

Strength: 0.8-1.2
CFG Scale: 7.0-9.0
Steps: 25-35
Sampler: DPM++ 2M Karras or Euler A

Trigger Words

Use these terms in your prompts to activate the style:

"R3YN0LDS oil painting style"

Example Prompts

a portrait of a noble gentleman, Reynolds oil painting style, classical lighting, rich colors

a dramatic landscape with stormy skies, oil painting, academic style, detailed brushwork

elegant lady in 18th century dress, Reynolds style portrait, soft lighting, refined details

Training Details

Base Model: Stable Diffusion 3.5 Large
Training Resolution: [Add resolution if known]
Batch Size: [Add if known]
Learning Rate: [Add if known]
Training Steps: [Add if known]

License

[Add appropriate license information]

Credits

Dataset: Created and curated by mushroomfleet
Training: Conducted using advanced LoRA techniques on SD3.5 Large
Style: Inspired by the classical oil painting techniques of Joshua Reynolds

Citation

If you use these models in your research or creative work, please consider citing:

@misc{reynolds-oil-style-lora,
  title={Reynolds Oil Style LoRA Models for Stable Diffusion 3.5},
  author={mushroomfleet},
  year={2025},
  url={https://huggingface.co/mushroomfleet/reynolds-oil-style}
}

For questions, issues, or feedback, please open an issue in this repository or contact the author.