metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
lego --fref --89890, a Lego Star Wars figure stands in a pile of snow. The
figure is adorned with a white snow-covered hat, a white coat, and a black
and white striped jacket. The face of the figure is yellow, and the eyes
are blue. The background is a grayish-gray color, and there are small
white dots dotting the top of the image.
output:
url: images/1.png
- text: >-
lego --fref --89890, a toy robot is soaring through the air. The robot is
dressed in a red jumpsuit, adorned with a black helmet and goggles. The
toy is holding a small camera in its right hand. The camera has a black
lens, and a yellow handle. The sky is a deep blue, dotted with white
clouds, adding a pop of color to the scene.
output:
url: images/2.png
- text: >-
lego --fref --89890, a lego robot is soaring through the air on a dirt
bike. The robot is wearing a white helmet, a white shirt, and a brown and
orange vest. The bike is soaring over a pile of brown rocks, with a body
of water in the background. The sky is filled with clouds, and the sun is
peeking through the clouds, adding a warm glow to the scene.
output:
url: images/3.png
- text: >-
lego --fref --89890, a lego astronaut is standing on a rocky surface,
holding a flag with a white pole. The astronaut is wearing a white helmet,
a white and red uniform, and black gloves. The background is blurred,
creating a stark contrast with the astronaut and the flag. The flag is
adorned with an orange and white striped flag, adding a pop of color to
the scene.
output:
url: images/4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: lego --fref --89890
license: creativeml-openrail-m
Flux-Lego-Ref-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/Flux-Lego-Ref-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 | 17 & 2350 |
Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 15
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-Lego-Ref-LoRA"
trigger_word = "lego --fref --89890"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use lego --fref --89890
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.