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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '3DXLP5, young woman in blue denim jacket with a hat, in the style of , industrial texture, shot on 70mm, aggressive quilting, backlight, androgynous, wimmelbilder . --ar 68:103 --v 5.1 --style raw'
output:
url: images/111.png
- text: '3DXLP5, a man with dark brown hair and blue eyes is holding a gun in his right hand, aiming it at the camera with a cigarette in his mouth. He is wearing a black watch with a silver band and a gold ring on his left hand. His shirt is white with blue stripes and a gray t-shirt underneath. The background is a solid green, adding a pop of color to the scene.'
output:
url: images/222.png
- text: '3DXLP5, A close-up shot of a mans face, taken from a low-angle perspective. The mans eyes are a piercing blue, and his eyebrows are a darker shade of brown. His hair is a mix of brown and black, and hes sporting a goatee. He is wearing a green button-down shirt, and the background is a grayish gray.'
output:
url: images/333.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: 3DXLP5
license: creativeml-openrail-m
---
<Gallery />
## Model description for 3DXL Partfile 0005
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 | 18 & 2000 |
| Epoch | 14 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 13
## 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
```python
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-3DXL-Partfile-0005"
trigger_word = "3DXLP5"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Trigger words
You should use `3DXLP5` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/strangerzonehf/Flux-3DXL-Partfile-0005/tree/main) them in the Files & versions tab.
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