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--- |
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tags: |
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- text-to-image |
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- lora |
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- diffusers |
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- template:diffusion-lora |
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widget: |
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- output: |
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url: images/1.png |
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text: '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.' |
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- output: |
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url: images/2.png |
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text: '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.' |
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- output: |
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url: images/3.png |
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text: '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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base_model: Qwen/Qwen-Image |
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instance_prompt: Synthetic Face |
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license: apache-2.0 |
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--- |
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# Qwen-Image-Synthetic-Face |
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<Gallery /> |
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--- |
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# Model description for Qwen-Image-Synthetic-Face |
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Image Processing Parameters |
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| Parameter | Value | Parameter | Value | |
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|---------------------------|--------|---------------------------|--------| |
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| LR Scheduler | constant | Noise Offset | 0.03 | |
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| Optimizer | AdamW | Multires Noise Discount | 0.1 | |
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| Network Dim | 64 | Multires Noise Iterations | 10 | |
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| Network Alpha | 32 | Repeat & Steps | 22 & 2650 | |
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| Epoch | 20 | Save Every N Epochs | 2 | |
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Labeling: florence2-en(natural language & English) |
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Total Images Used for Training : 26 [HQ Images] |
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## Data Sources |
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| Source | Link | |
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|--------------|-------------------------------------| |
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| Playground | [playground.com](https://playground.com/) | |
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| ArtStation | [artstation.com](https://www.artstation.com/) | |
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| 4K Wallpapers| [4kwallpapers.com](https://4kwallpapers.com/) | |
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## Best Dimensions & Inference |
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| **Dimensions** | **Aspect Ratio** | **Recommendation** | |
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|-----------------|------------------|---------------------------| |
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| 1472 x 1140 | 4:3 (approx.) | Best | |
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| 1024 x 1024 | 1:1 | Default | |
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### Inference Range |
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- **Recommended Inference Steps:** 35-50 |
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## Setting Up |
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```python |
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import torch |
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from diffusers import DiffusionPipeline |
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base_model = "Qwen/Qwen-Image" |
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pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16) |
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lora_repo = "prithivMLmods/Qwen-Image-Synthetic-Face" |
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trigger_word = "Synthetic Face" |
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pipe.load_lora_weights(lora_repo) |
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device = torch.device("cuda") |
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pipe.to(device) |
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``` |
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## Trigger words |
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You should use `Synthetic Face` to trigger the image generation. |
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## Download model |
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[Download](/prithivMLmods/Qwen-Image-Synthetic-Face/tree/main) them in the Files & versions tab. |
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