Flux-Product-Ad-Backdrop

Prompt

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.

Prompt

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.

Prompt

Product Ad,Vegan Snacks, in the style of an outdoors product hero shot in motion, dynamic magazine ad image, photorealism, 4k Raw, --v6

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

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 them in the Files & versions tab.