Qwen-Image-Synthetic-Face

Prompt

Synthetic Face, a close-up shot of a young mans face features a maroon baseball cap adorned with a leather band. The mans hair is cut short and neatly trimmed. His eyes are a piercing blue, and his eyebrows are a darker shade of brown. He is wearing a gray tank top with a silver chain around his neck, adding a pop of color to his chest. The backdrop is a textured gray wall.

Prompt

Synthetic Face, a beautiful blonde woman with long, wavy blonde hair stands in front of a dark gray backdrop. She is dressed in a red strapless dress, adorned with silver earrings. Her lips are painted a vibrant red, adding a pop of color to her face. Her eyes are a piercing blue, and her eyebrows are a darker shade of brown. Her hair is cascading down her shoulders, framing her entire face.

Prompt

Synthetic Face, a medium-sized man stands in front of a stark white backdrop. He is dressed in a black tuxedo, adorned with a white collared shirt and a black bow tie. His eyes are a deep blue, and his hair is a rich black, adding a pop of color to the scene. His lips are a lighter shade of pink, and he has a slight smile on his face. His eyebrows are a darker shade of blue, adding depth to the composition.

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Model description for Qwen-Image-Synthetic-Face

Image Processing Parameters

Parameter	Value	Parameter	Value
LR Scheduler	constant	Noise Offset	0.03
Optimizer	AdamW	Multires Noise Discount	0.1
Network Dim	64	Multires Noise Iterations	10
Network Alpha	32	Repeat & Steps	22 & 2650
Epoch	20	Save Every N Epochs	2

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 26 [HQ Images]

Data Sources

Source	Link
Playground	playground.com
ArtStation	artstation.com
4K Wallpapers	4kwallpapers.com

Best Dimensions & Inference

Dimensions	Aspect Ratio	Recommendation
1472 x 1140	4:3 (approx.)	Best
1024 x 1024	1:1	Default

Inference Range

• Recommended Inference Steps: 35-50

Setting Up

import torch
from diffusers import DiffusionPipeline

base_model = "Qwen/Qwen-Image"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Qwen-Image-Synthetic-Face"
trigger_word = "Synthetic Face"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Synthetic Face to trigger the image generation.

Download model

Download them in the Files & versions tab.