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---
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. |