metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
Logo Design, A close-up of a bottle cap with the word "HUNTER" carved into
the center of the cap. The cap is made up of a silver metal frame with
ridges along the edges. The background is a dark gray color. The word is
carved into a wood-like pattern. There are tall pine trees in the middle
of the frame. There is a mountain range in the background.
output:
url: images/LD1.png
- text: >-
Logo Design, a round, teal-colored metal sign is adorned with the words
"RANGER" in bold, capitalized letters. The sign is set against a stark
white backdrop, creating a striking contrast. The text, "PARK RANGER", is
prominently displayed in the center of the sign, adding a pop of color to
the otherwise monochromatic image.
output:
url: images/LD2.png
- text: >-
Logo Design, An eye-level view of a dark gray house with the words "House
Cleaning" written in the center of the image. The house is cracked, and
the sky is filled with dark gray clouds. There are three spires sticking
out of the top of the roof of the house, and there are small white stars
scattered across the sky.
output:
url: images/LD3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Logo Design
license: creativeml-openrail-m
Logo-Design-Flux-LoRA
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/Logo-Design-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 | 22 & 2.2K |
Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 14 [ Hi-RES ]
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/Logo-Design-Flux-LoRA"
trigger_word = "Logo Design"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Data source
- https://playground.com/
Trigger words
You should use Logo Design
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.