Awportrait FL

🚀 AWPortrait-FL

AWPortrait-FL is a fine - tuned model. It is based on FLUX.1 - dev, leveraging the training set of AWPortrait - XL and nearly 2,000 high - aesthetic fashion photography photos. This model significantly enhances composition and details, featuring more delicate and realistic skin and textures. It is trained by DynamicWang at AWPlanet.

🚀 Quick Start

✨ Features

• Fine - Tuned on High - Quality Data: Utilizes the training set of AWPortrait - XL and high - aesthetic fashion photos.
• Improved Composition and Details: Offers more delicate and realistic skin and textures.

📦 Installation

This section does not have specific installation commands in the original document, so it is skipped.

💻 Usage Examples

Basic Usage

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("Shakker-Labs/AWPortrait-FL", torch_dtype=torch.bfloat16)
pipe.to("cuda")

prompt = "close up portrait, Amidst the interplay of light and shadows in a photography studio,a soft spotlight traces the contours of a face,highlighting a figure clad in a sleek black turtleneck. The garment,hugging the skin with subtle luxury,complements the Caucasian model's understated makeup,embodying minimalist elegance. Behind,a pale gray backdrop extends,its fine texture shimmering subtly in the dim light,artfully balancing the composition and focusing attention on the subject. In a palette of black,gray,and skin tones,simplicity intertwines with profundity,as every detail whispers untold stories."

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.5,
             width=768, height=1024,
            ).images[0]
image.save(f"example.png")

Advanced Usage

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights('Shakker-Labs/AWPortrait-FL', weight_name='AWPortrait-FL-lora.safetensors')
pipe.fuse_lora(lora_scale=0.9)
pipe.to("cuda")

prompt = "close up portrait, Amidst the interplay of light and shadows in a photography studio,a soft spotlight traces the contours of a face,highlighting a figure clad in a sleek black turtleneck. The garment,hugging the skin with subtle luxury,complements the Caucasian model's understated makeup,embodying minimalist elegance. Behind,a pale gray backdrop extends,its fine texture shimmering subtly in the dim light,artfully balancing the composition and focusing attention on the subject. In a palette of black,gray,and skin tones,simplicity intertwines with profundity,as every detail whispers untold stories."

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.5,
             width=768, height=1024,
            ).images[0]
image.save(f"example.png")

📚 Documentation

Comparison

The following example shows a simple comparison with FLUX.1 - dev under the same parameter setting.

Online Inference

You can also download this model at Shakker AI, where we provide an online interface to generate images.

📄 License

This model is released under the [flux - 1 - dev - non - commercial - license](https://huggingface.co/black - forest - labs/FLUX.1 - dev/blob/main/LICENSE.md). The generated images are also non - commercial. It is trained by our copyrighted users DynamicWang under permissions.