______  ______   __       __  __   ______   ______   __  __   ______       __   ______    
/\  == \/\  __ \ /\ \     /\ \_\ \ /\  ___\ /\  == \ /\ \/\ \ /\___  \     /\ \ /\  __ \   
\ \  _-/\ \ \/\ \\ \ \____\ \____ \\ \ \____\ \  __< \ \ \_\ \\/_/  /__    \ \ \\ \ \/\ \  
 \ \_\   \ \_____\\ \_____\\/\_____\\ \_____\\ \_\ \_\\ \_____\ /\_____\    \ \_\\ \_____\ 
  \/_/    \/_____/ \/_____/ \/_____/ \/_____/ \/_/ /_/ \/_____/ \/_____/     \/_/ \/_____/ 
                                                                                                                                                                                                  

golden-dust-real

Prompt

Golden Dust, A close-up shot of a golden retriever dogs face is seen in a vibrant orange hue. The dogs fur is a mix of brown and white, and the dogs nose is a darker shade of brown. Its eyes are a deep brown, and its ears are a lighter brown. The background is blurred, and there are small orange dots dotting the fur around its neck, adding a festive touch to the scene.

Prompt

Golden Dust, A close-up view of a cheeseburger on a table. The hamburger is made up of a dark brown bun, with a layer of melted cheese on top of it. The cheese is a bright yellow, and there is a red sauce dripping from the bun. The bun is adorned with sesame seeds, adding a touch of sparkle to the scene. The table under the hamburger, is a dark wooden table, and the lighting is subdued, creating a stark contrast to the burger.

Prompt

Golden Dust, A close-up eye-level shot of a womans face, adorned with sparkles of golden light. The womans eyes are adorned with green eyes, adding a pop of color to the scene. Her eyebrows are a darker shade of brown, while her eyelashes are a lighter shade of green. Her lips are a vibrant shade of red, her nose is adorned with a light pink tint. Her hair is a dark brown, wavy, and she has long bangs. The background is dark, creating a stark contrast to her face.

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Model description for golden-dust-real

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 & 2500
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 17 [ Hi-RES ]

Other Sample Image

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 = "Polycruz9/golden-dust-real"
trigger_word = "Golden Dust"  
pipe.load_lora_weights(lora_repo)

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

Data source

- https://freeflo.ai/

Trigger words

You should use Golden Dust to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.