Flux Schnell Realism

🚀 Schnell Realism

A LoRA checkpoint designed to enhance the photorealism of FLUX.1 [schnell].

This LoRA checkpoint aims to improve the photorealism of FLUX.1 [schnell].

The weights are provided as .safetensors file, making them suitable for a wide range of use - cases, including but not limited to:

• SD - WebUI
• ComfyUI
• InvokeAI
• Forge
• diffusers
• ...

🚀 Quick Start

This section provides a high - level overview of how to get started with the Schnell Realism LoRA checkpoint.

✨ Features

• Improves the photorealism of the FLUX.1 [schnell] model.
• Weights are provided in .safetensors format, compatible with multiple platforms.

📦 Installation

The installation is mainly about getting the .safetensors weights and integrating them into your preferred text - to - image framework.

💻 Usage Examples

Basic Usage

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('hugovntr/flux-schnell-realism', weight_name='schnell-realism_v1')
image = pipeline('Moody kitchen at dusk, warm golden ...').images[0]
image.save("output.png")

Advanced Usage

There are currently no advanced usage examples provided in the original document.

📚 Documentation

Changelog

• Sep. 21st 2024 - Uploaded v2.3, trained on 1000+ synthetic images manually captionned
• Sep. 7th 2024 - Uploaded v1, trained on 100+ synthetic images manually captionned

Training details

This checkpoint has been trained with a small dataset of 1000+ synthetic images generated and upscaled using Runtime44. All images have been manually captionned without any specific trigger word. Training was done using kohya - ss scripts on a local machine with 16Gb of VRAM and took ~1h.

📄 License

This project is licensed under the Apache 2.0 license.