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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'A 3D Portrait cartoon depiction of a woman with long dark brown hair and brown eyes stands in front of a window. She is wearing a gray turtleneck, with her left hand resting on her head. Her right hand is touching her face, adding a touch of warmth to the scene. The background is a stark white wall, with a window on the left side of the image.'
output:
url: images/1.webp
- text: 'A 3D cartoon-style portrait of a man with short, wavy black hair and blue eyes, standing against a soft pastel-colored background. He is wearing a casual navy blue hoodie, with his right arm crossed over his chest, and his left hand raised to touch his chin thoughtfully. The background includes a large, arched window with light streaming through, creating a warm, cozy atmosphere'
output:
url: images/2.webp
- text: 'A 3D cartoon-style portrait of a young woman with medium-length blonde hair and green eyes, sitting in a cozy cafe. She is wearing a light pink sweater and holding a warm cup of coffee close to her face with both hands, creating a peaceful vibe. The background shows a wooden table and a window with raindrops, giving a cozy, rainy-day feel'
output:
url: images/3.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: 3D Portrait
license: creativeml-openrail-m
---
# Castor-3D-Portrait-Flux-LoRA
<Gallery />
**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
## Model description
**prithivMLmods/Castor-3D-Portrait-Flux-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 | 20 & 2.5K |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 19
## 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 = "prithivMLmods/Castor-3D-Portrait-Flux-LoRA"
trigger_word = "3D Portrait" # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## App File Structure
/project-root/
├── .gitattributes
├── README.md
├── app.py
├── pythonproject.py
## Trigger words 🧨
> [!WARNING]
> **Trigger words:** You should use `3D Portrait` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Castor-3D-Portrait-Flux-LoRA/tree/main) them in the Files & versions tab.
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