Yellow-Pop-Flux-Dev-LoRA

Prompt

Yellow Pop, A medium-sized bulldog stands in front of a vibrant pink background. The bulldogs face is prominently displayed, with its mouth slightly open. Its eyes are wide open, and its ears are perked up. Its mouth is slightly open, revealing a black nose. Its muzzle is adorned with small black dots, adding a pop of color to the scene. The dogs coat is a light brown, with a purple collared shirt underneath it. The coat has a black collar with a few buttons on it.

Prompt

Yellow Pop, An eye-level painting of a tree with a yellow base and a thick trunk. The trees leaves are a vibrant shade of green, while the base is a lighter shade of yellow. The background is a deep pink, and the trees shadow is cast on the ground below the tree, creating a striking contrast of colors. The leaves are arranged in a way that creates a sense of depth and dimension, adding a pop of color to the scene.

Prompt

Yellow Pop, A digital art painting of a woman in a pink jacket and a yellow turtleneck. The womans hair is styled in a bun and she is wearing a pair of pink tinted glasses. Her eyes are blue and her lips are pink. Her hair is pulled back in a ponytail. She is wearing large silver hoop earrings on both sides of her ears. The background of the painting is a vibrant yellow.

• Hosted Here🧨: https://huggingface.co./spaces/prithivMLmods/FLUX-LoRA-DLC

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/Yellow-Pop-Flux-Dev-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	22 & 2600
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 22

Best Dimensions

• 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/Yellow-Pop-Flux-Dev-LoRA"
trigger_word = "Yellow Pop"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Data source

- https://freeflo.ai/

Trigger words

You should use Yellow Pop to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.