Flux-NFT-Art99-LoRA / README.md
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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'NFT Art 99, A 3D rendering of a black man with a black mustache and black sunglasses on his face. He is wearing a black suit with a white collared shirt and a black tie. The backdrop is a dark blue.'
output:
url: images/4.png
- text: 'NFT Art 99: A 3D rendering of a man with a full white beard and a monocle on his left eye. He is dressed in a dark purple Victorian-style suit with a high-collared white shirt and an intricately tied cravat. The background is a moody foggy gray, enhancing the mysterious atmosphere. A golden pocket watch chain peeks out from his vest, adding a luxurious touch to the scene.'
output:
url: images/5.png
- text: 'NFT Art 99: A medium-sized cartoon figure stands against a vibrant orange gradient backdrop. The figure wears a purple astronaut suit with bright yellow details and a glass helmet. Inside the helmet, the characters round face has wide, curious eyes and a cheeky smile. A small green alien sits on their shoulder, adding a whimsical element to the scene.'
output:
url: images/6.png
- text: 'NFT Art 99, a 3D rendering of a mans head and shoulders is seen against a dark backdrop. The mans face is adorned with a beige collared button-down shirt, a black tie, and a pair of silver-rimmed glasses. His eyes are tinted blue, and he has a serious expression on his face. His eyebrows are black, adding a pop of color to the scene.'
output:
url: images/1.png
- text: 'NFT Art 99, a medium-sized cartoon figure stands against a stark white backdrop. The figures face is adorned with black eyes, a black headband, and a red tank top adorned with the number "20" in white letters. Her shorts are adorned with white socks and black and white tennis shoes. Her hair is tied back in a ponytail, adding a pop of color to the scene.'
output:
url: images/2.png
- text: 'NFT Art 99, a cartoon head is seen against a stark white backdrop. The head is adorned with a black mustache and a black band around its eyes, adding a touch of color to the scene. The eyes are tinted black, while the eyebrows are a darker shade of black. The mans face is adorned in a black and white collared button-down shirt, adorned with the words "of young" in a cursive font. The shirts collar is black, with a white stripe running down the center of the shirt. A small blue broomstick is hanging from the collar.'
output:
url: images/3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: NFT Art 99
license: creativeml-openrail-m
---
![sdvgsdfvsd.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/XQuRMpCE9Wb1-Fe7ZdoqH.png)
<Gallery />
# Model description for Flux-NFT-Art99-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 | 17 & 2890 |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 17 [ Hi RES]
## 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-NFT-Art99-LoRA"
trigger_word = "NFT Art 99"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Trigger words
You should use `NFT Art 99` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/strangerzonehf/Flux-NFT-Art99-LoRA/tree/main) them in the Files & versions tab.