metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- 3D
- Coin
- Design
widget:
- text: >-
Golden Coin, Captured from a low-angle perspective on a vibrant purple
backdrop, a glowing yellow circle with a white dollar sign in the center
of the circle. The dollar sign is adorned with a bright yellow hue, adding
a pop of color to the scene. The shadow of the dollar sign casts a shadow
on the purple background, adding depth to the image.
output:
url: images/1.png
- text: >-
Golden Coin, a vibrant orange letter "HF" is prominently displayed in the
center of the frame. The letter is encircled by a bright yellow light,
creating a stark contrast against the background. The word "hf.co" is
written in the lower right corner of the image, adding a touch of contrast
to the overall composition.
output:
url: images/2.png
- text: >-
Golden Coin, Captured from a high-angle perspective on a gray surface, the
top of a yellow bottle cap is visible. The cap is adorned with a white
skull-like design in the center of the cap, adding a pop of color to the
scene. The background is a solid black, creating a stark contrast to the
yellow cap.
output:
url: images/3.png
- text: >-
Golden Coin, A close-up view of a yellow plastic cap with a round opening
in the center. The cap has a white line going around the top of the cap.
Inside the cap is a brown liquid with a white arrow coming out of it. The
background is a bright white.
output:
url: images/4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Golden Coin
license: creativeml-openrail-m
Flux-Golden-Coin-Design
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-Golden-Coin-Design
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 | 15 & 2200 |
Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 13
Best Dimensions & Inference
Dimensions | Aspect Ratio | Recommendation |
---|---|---|
1280 x 832 | 3:2 | Best |
1024 x 1024 | 1:1 | Default |
Inference Range
- Recommended Inference Steps: 30–35
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-Golden-Coin-Design"
trigger_word = "Golden Coin"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use Golden Coin
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.