Flux Fine Detail LoRA

🚀 Flux-Super-Detail-LoRA

This LoRA model is designed for text-to-image generation, enhancing the fine - details in the output images. However, it's still in the training phase and may have some performance issues.

🚀 Quick Start

📦 Installation

To set up the environment for using this model, you can follow the code below:

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Flux-Fine-Detail-LoRA"
trigger_word = "Super Detail"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

💻 Usage Examples

Basic Usage

You should use Super Detail to trigger the image generation. Here are some example prompts and their corresponding output images:

• Prompt: 'Super Detail, A close - up shot of a man with a brown hat on his head. His eyes are blue and he has brown hair. His hair is wet from the rain. The background is blurred.'
  • Output Image
• Prompt: 'Super Detail, A close - up shot of a womans face, taken from a low - angle perspective. The womans eyes are a piercing of turquoise, and her hair is a vibrant shade of brown. Her lips are painted a deep red, with a slight smile. Her eyebrows are a light brown, adding a touch of texture to her face. The background is dark, creating a stark contrast to the womans skin.'
  • Output Image
• Prompt: 'Super Detail, a close - up shot of a womans head and shoulders is seen against a vibrant red backdrop. The womans face is adorned with a white face, adorned with blue eyes, and her brown hair cascades over her shoulders. She is wearing a red turtleneck, with a ribbed collar. Her lips are painted a vibrant shade of red, adding a pop of color to her face. Her eyebrows are a darker shade of blue, adding depth to the composition.'
  • Output Image

📚 Documentation

Image Processing Parameters

Labeling

The labeling is done using florence2 - en (natural language & English).

Total Images Used for Training

15

Best Dimensions

• 768 x 1024 (Best)
• 1024 x 1024 (Default)

📄 License

This model is licensed under the creativeml - openrail - m license.

⚠️ Important Note

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

💡 Usage Tip

Weights for this model are available in Safetensors format. You can Download them in the Files & versions tab.