---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- '3:2'
- Smile
- Art
- Design
widget:
- text: >-
    C33 Design, a close-up shot captures a vibrant blue smiley face, adorned
    with a black hat adorned with two yellow buttons. The hat is adorned with an
    eye-level yellow circle with a smiling face, adding a pop of color to the
    scene. The eyes are glowing blue, creating a striking contrast to the black
    hat. The helmet is adorned by a black strap, adding depth to the
    composition. The background is a muted gray, adding to the overall
    composition.
  output:
    url: images/1.png
- text: >-
    C33 Design, A 3D rendering of a persons head and neck is visible. The person
    is wearing a white long sleeved t-shirt with a blue stripe at the bottom,
    and a black glove on their left hand. They are holding a white stick in
    their right hand. The background is a vibrant red, and there is a circular
    object in the center of the persons neck that has three black circles on it.
    There is a gold ring on the top left corner of the image.
  output:
    url: images/2.png
- text: >-
    C33 Design, a vibrant purple smiley face is adorned with a small red tag
    that reads "Hello, I am a JPEG". The tag is affixed to the face of the
    purple face, adding a pop of color to the otherwise monochromatic figure.
    The figure is wearing a dark blue jacket, with a black backpack strapped to
    its back. The background is a stark white, creating a stark contrast to the
    figure.
  output:
    url: images/3.png
- text: >-
    C33 Design, a mannequin is adorned with a white hat adorned with black dots
    and a smiley face. The hat has a yellow circle button in the center of it,
    adding a pop of color to the scene. The backdrop is a vibrant orange,
    creating a striking contrast to the white hat and the black jacket.
  output:
    url: images/4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: C33 Design
license: creativeml-openrail-m
---
# Flux-C33-Design-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/Flux-C33-Design-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           | 18 & 2450 |
| Epoch                     | 14   | Save Every N Epochs       | 1     |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 17

## 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 = "prithivMLmods/Flux-C33-Design-LoRA"
trigger_word = "C33 Design"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```
## Trigger words

You should use `C33 Design` to trigger the image generation.

## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Flux-C33-Design-LoRA/tree/main) them in the Files & versions tab.