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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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- text: >- |
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Super Portrait, A close-up portrait of a young man with dark brown eyes and |
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dark brown eyebrows. He is wearing a green and yellow striped polo shirt |
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with a black collar. His earring is adorned with a silver earring. The |
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backdrop is a light blue color. |
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output: |
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url: images/1.png |
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- text: >- |
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Super Portrait, A close-up shot of a young blonde girl with blue eyes and a |
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black beanie on her head. The beanie is adorned with a pink patch that reads |
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"CUTIE REBEL" in bold white letters. The girls hair is pulled back in a |
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ponytail and she is wearing a black turtleneck. The background is a vibrant |
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brown color. |
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output: |
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url: images/2.png |
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- text: >- |
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Super Portrait, a close-up shot of a young mans face is adorned with a beige |
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baseball cap adorned with red lettering. The mans eyes are a piercing blue, |
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and he is wearing a pink t-shirt. His hair is dark brown, adding a touch of |
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texture to his face. The backdrop is a vibrant shade of blue, creating a |
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stark contrast to the mans head and the cap. |
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output: |
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url: images/3.png |
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- text: >- |
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Super Portrait, a close-up shot of a young girls face is featured |
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prominently in the frame. The girls eyes are a piercing blue, and her hair |
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is pulled back in a ponytail, adding a pop of color to her face. She is |
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wearing a gray baseball cap, adorned with a white logo that reads "E-NILS" |
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in a cursive font, while the rest of the text is in a darker shade of white. |
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Her eyebrows are a lighter shade of blue, while her lips are a darker pink. |
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She is wearing a long-sleeved gray sweater, with a slight smile on her lips. |
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The backdrop is a vibrant orange, creating a stark contrast to the girls |
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outfit. |
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output: |
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url: images/4.png |
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- text: >- |
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Super Portrait, A close-up of a young girl with almond-shaped hazel eyes and |
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long jet-black hair tied in twin braids. She wears a bright red turtleneck |
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sweater and a pair of small silver hoop earrings. The background is a soft |
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peach, highlighting her vibrant outfit. |
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output: |
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url: images/5.png |
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- text: >- |
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Super Portrait, A close-up of a young man with dark brown eyes and wavy |
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black hair. He is wearing a dark green trench coat with a high collar and a |
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light brown scarf around his neck. The backdrop is a cloudy gray, adding an |
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air of mystery to the scene. |
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output: |
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url: images/6.png |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: Super Portrait |
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license: creativeml-openrail-m |
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new_version: strangerzonehf/Flux-SuperPortrait-v2-LoRA |
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--- |
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<Gallery /> |
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# Model description for Flux-Super-Portrait-LoRA |
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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 | 17 & 2650 | |
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| Epoch | 14 | Save Every N Epochs | 1 | |
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Labeling: florence2-en(natural language & English) |
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Total Images Used for Training : 19 [ Flat 4K ] |
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## Best Dimensions & Inference |
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| **Dimensions** | **Aspect Ratio** | **Recommendation** | |
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|-----------------|------------------|---------------------------| |
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| 1280 x 832 | 3:2 | Best | |
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| 1024 x 1024 | 1:1 | Default | |
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### Inference Range |
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- **Recommended Inference Steps:** 30–35 |
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## Setting Up |
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```python |
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import torch |
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from pipelines import DiffusionPipeline |
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base_model = "black-forest-labs/FLUX.1-dev" |
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pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16) |
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lora_repo = "strangerzonehf/Flux-Super-Portrait-LoRA" |
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trigger_word = "Super Portrait" |
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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 `Super Portrait` to trigger the image generation. |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download](/strangerzonehf/Flux-Super-Portrait-LoRA/tree/main) them in the Files & versions tab. |
