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Sponsored by
APIMart
strangerzonehf / Flux-SuperPortrait-v2-LoRA
Model's Last Updated: December 14 2024
text-to-image
Introduction of Flux-SuperPortrait-v2-LoRA
Model Details of Flux-SuperPortrait-v2-LoRA
- Prompt
- Prompt
- Super Portrait v2, A close-up shot of a womans face, positioned in front of a stark white backdrop. The womans eyes are a piercing blue, her eyebrows are a darker shade of blue, and her lips are a lighter shade of pink. She is wearing a light green knit cap, and a matching green sweater. Her sweater is draped over her shoulders, adding a pop of color to the scene.
- Prompt
- Super Portrait v2, a close-up shot of a Asian womans face is adorned with a gold necklace. The womans eyes are a piercing blue, and her hair is a vibrant shade of brown. Her eyebrows are a darker shade of gray, adding a pop of color to her face. Her lips, a lighter shade of pink, are accentuated by a slight smile. Her hair is pulled back in a ponytail, framing her forehead. The backdrop is a muted blue, with wavy lines adding a touch of texture to the scene.
- Prompt
Model description for Flux-SuperPortrait-v2-LoRA
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 | 19 & 2890 |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 29 [ Flat 4K ]
Best Dimensions & Inference
| Dimensions | Aspect Ratio | Recommendation |
|---|---|---|
| 1280 x 832 | 3:2 | Best |
| 1024 x 1024 | 1:1 | Default |
Inference Range
- Recommended Inference Steps: 30–35
Setting Up
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 = "strangerzonehf/Flux-SuperPortrait-v2-LoRA"
trigger_word = "Super Portrait v2"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use
Super Portrait v2
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Runs of strangerzonehf Flux-SuperPortrait-v2-LoRA on huggingface.co
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More Information About Flux-SuperPortrait-v2-LoRA huggingface.co Model
Url of Flux-SuperPortrait-v2-LoRA
Flux-SuperPortrait-v2-LoRA huggingface.co Url
Provider of Flux-SuperPortrait-v2-LoRA huggingface.co
Other API from strangerzonehf
Updated:December 18 2025
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