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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'Inkk, A black and white portrait of a womans face. The womans head is facing the left side of the frame. Her hair is cut in a bun. Her eyes are wide open. Her eyebrows are black and her lips are painted black. Her mouth is painted white. Her nose is black. She has a black microphone in her mouth. The background is white.'
output:
url: images/1.png
- text: 'Inkk, A black and white drawing of a mans face. The man has a black mustache that is trimmed in black. His eyes are blue and he has black hair. He is wearing a black collar with black stripes on it. He also has earphones in his ears. The background is white.'
output:
url: images/2.png
- text: 'Inkk, A black and white monochromatic portrait of a womans face. The womans head is facing the left side of the frame, her hair cascades over her shoulders. She is wearing a black dress with a white stripe down the center of her neck. Her ear is encased in a silver earring. Her hair is pulled back in a ponytail, adding a pop of color to the scene. The background is a stark white, creating a stark contrast to the womans silhouette.'
output:
url: images/3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Inkk
license: apache-2.0
---
<Gallery />
# Model description for Inkk
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 & 2770 |
| Epoch | 23 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 55
## 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/Inkk"
trigger_word = "Inkk"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Trigger words
You should use `Inkk` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/strangerzonehf/Inkk/tree/main) them in the Files & versions tab.
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