metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Golden-Particle
widget:
- text: >-
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.
output:
url: images/GD1.png
- text: >-
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.
output:
url: images/GD2.png
- text: >-
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.
output:
url: images/GD3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Golden Dust
license: creativeml-openrail-m
Golden-Dust-Flux-LoRA

- 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.
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/Golden-Dust-Flux-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 & 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 = "prithivMLmods/Golden-Dust-Flux-LoRA"
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.