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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Product-Ad
widget:
- text: >-
Product Ad, Captured at eye-level, a close-up shot captures a pile of fried
chicken wings in a white paper cup. The chicken wings are a vibrant brown
color, adding a pop of color to the scene. The cup is placed on a light
brown wooden table, creating a stark contrast with the vibrant blue sky in
the background. To the right of the chicken wings, a slice of lemon, a red
onion, and a red radish are placed on the table. The radish, and red onions
are arranged in a circular pattern, adding depth to the composition. The
backdrop is blurred, suggesting a fair day.
output:
url: images/PA1.png
- text: >-
Product Ad, a blue and silver electric razor is soaring through the air. The
razor is positioned in the middle of a grassy field, with a backdrop of a
mountain range that is covered in snow. The sky is a deep blue, dotted with
white clouds, adding a pop of color to the scene. The blades of the razor
are splashing in the air, adding texture to the image.
output:
url: images/PA3.png
- text: >-
Product Ad,Vegan Snacks, in the style of an outdoors product hero shot in
motion, dynamic magazine ad image, photorealism, 4k Raw, --v6
output:
url: images/PA4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Product Ad
license: creativeml-openrail-m
---
# Flux-Product-Ad-Backdrop
<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-Product-Ad-Backdrop**
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 & 2970 |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 19
## Best Dimensions
- 768 x 1024 (Best)
- 1024 x 1024 (Default)
## 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-Product-Ad-Backdrop"
trigger_word = "Product Ad"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Trigger words
You should use `Product Ad` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Flux-Product-Ad-Backdrop/tree/main) them in the Files & versions tab. |