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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- C4C
- ART
- Design
widget:
- text: >-
Smiley C4C, a close-up of a persons head is visible. The person is wearing a
gray sweater, adorned with a silver chain around their neck, and a silver
helmet on their head. The helmet is adorned with two cork-like objects, each
with a light shining on it, adding a touch of warmth to the scene. The
background is a dark blue, creating a stark contrast to the silver helmet.
output:
url: images/1.png
- text: >-
Smiley C4C, a cartoon character is seen wearing a black t-shirt with an
orange and yellow graphic on the front. The character is wearing a helmet
that is shaped like a face, with two small round objects sticking out of the
helmet. The helmet is adorned with two circular objects on top of it, one of
which is a light brown color and the other is a darker brown color. The
background is a dark brown.
output:
url: images/2.png
- text: >-
Smiley C4C, Captured from a low-angle perspective on a vibrant blue
backdrop, a man dressed in a white Adidas t-shirt, adorned with a bright
yellow helmet and goggles. The helmet is adorned with two white knobs on the
top of the helmet, adding a pop of color to the scene. The mans shirt is
adorned in a blue collar with a blue adidas logo and a green tennis racket
hanging from the bottom right corner of the frame.
output:
url: images/3.png
- text: >-
Smiley C4C, Captured from a low-angle perspective on a vibrant blue
backdrop, a vibrant yellow helmet adorned with a smiley face and a gold
chain around the eyes. The helmet is adorned with two handles on either side
of the helmet, adorned with gold chains, adding a pop of color to the
otherwise monochromatic scene. The shirt below the helmet is a plain yellow
t-shirt adorned with the word "Smile" in bold white letters.
output:
url: images/4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Smiley C4C
license: creativeml-openrail-m
---
<Gallery />
## Model description for C4C 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 | 25 & 3100 |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 14
## 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-C4C-Design-LoRA"
trigger_word = "Smiley C4C"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Trigger words
You should use `Smiley C4C` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/strangerzonehf/Flux-C4C-Design-LoRA/tree/main) them in the Files & versions tab. |