metadata

tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
  - text: >-
      Microworld NFT, a miniature model of a snow-covered mountain with a red
      pickup truck parked on the left side of the mountain. The model is set
      against a stark white backdrop, creating a stark contrast to the scene.
      The house, adorned with a blue roof, is adorned with snow, adding a
      festive touch to the composition. The truck, positioned in the middle of
      the model, is positioned to the right of the house, adding depth to the
      focal point.
    output:
      url: images/4.png
  - text: >-
      Microworld NFT: A miniature model of a serene forest scene, with a tiny
      log cabin nestled between two tall evergreen trees. The ground is covered
      in a light dusting of moss and fallen leaves, creating a natural texture.
      A small, clear stream winds its way in front of the cabin, with a tiny
      wooden bridge crossing it. The background is a stark white, highlighting
      the intricate details of the forest diorama.
    output:
      url: images/5.png
  - text: >-
      Microworld NFT: A tiny model of a bustling street market is displayed on a
      white surface. The market features colorful stalls with red, yellow, and
      green awnings, each displaying miniature fruits, vegetables, and
      handcrafted goods. A few tiny figures of vendors and shoppers are
      scattered throughout, adding life to the scene. The backdrop is pure
      white, emphasizing the vibrant colors of the market.
    output:
      url: images/6.png
  - text: >-
      Microworld NFT, a small model of a rustic wooden house is positioned on a
      white surface. The house is made of a dark brown wood, with a brown roof
      and a brown awning on the right side. A brown horse is standing on the
      ground in front of the house, with its head turned towards the left side
      of the image. A shadow is cast on the surface behind the house. The
      background is a stark white, creating a stark contrast to the wood.
    output:
      url: images/1.png
  - text: >-
      Microworld NFT, a medium-angle view of a small, rustic-colored wooden barn
      sits atop a large, rectangular, square-shaped structure. The barn is
      adorned with a black roof, and the barns windows are adorned with white
      lettering. To the left of the barn, a windmill stands tall, adding a touch
      of warmth to the scene. The background is a stark white, creating a stark
      contrast to the barn and barn.
    output:
      url: images/2.png
  - text: >-
      Microworld NFT, a small scale model of a city is displayed on a white
      surface. The model is a dark gray concrete block, with two arches on the
      left side of the block. The building is made up of many tall buildings,
      with many windows and balconies. The buildings are arranged in a row, with
      a few cars parked on the right side. A few people are walking on the
      sidewalk, adding a touch of detail to the scene. The background is a stark
      white, creating a stark contrast to the model.
    output:
      url: images/3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Microworld NFT
license: creativeml-openrail-m

Prompt
Microworld NFT, a miniature model of a snow-covered mountain with a red pickup truck parked on the left side of the mountain. The model is set against a stark white backdrop, creating a stark contrast to the scene. The house, adorned with a blue roof, is adorned with snow, adding a festive touch to the composition. The truck, positioned in the middle of the model, is positioned to the right of the house, adding depth to the focal point.

Prompt
Microworld NFT: A miniature model of a serene forest scene, with a tiny log cabin nestled between two tall evergreen trees. The ground is covered in a light dusting of moss and fallen leaves, creating a natural texture. A small, clear stream winds its way in front of the cabin, with a tiny wooden bridge crossing it. The background is a stark white, highlighting the intricate details of the forest diorama.

Prompt
Microworld NFT: A tiny model of a bustling street market is displayed on a white surface. The market features colorful stalls with red, yellow, and green awnings, each displaying miniature fruits, vegetables, and handcrafted goods. A few tiny figures of vendors and shoppers are scattered throughout, adding life to the scene. The backdrop is pure white, emphasizing the vibrant colors of the market.

Prompt
Microworld NFT, a small model of a rustic wooden house is positioned on a white surface. The house is made of a dark brown wood, with a brown roof and a brown awning on the right side. A brown horse is standing on the ground in front of the house, with its head turned towards the left side of the image. A shadow is cast on the surface behind the house. The background is a stark white, creating a stark contrast to the wood.

Prompt
Microworld NFT, a medium-angle view of a small, rustic-colored wooden barn sits atop a large, rectangular, square-shaped structure. The barn is adorned with a black roof, and the barns windows are adorned with white lettering. To the left of the barn, a windmill stands tall, adding a touch of warmth to the scene. The background is a stark white, creating a stark contrast to the barn and barn.

Prompt
Microworld NFT, a small scale model of a city is displayed on a white surface. The model is a dark gray concrete block, with two arches on the left side of the block. The building is made up of many tall buildings, with many windows and balconies. The buildings are arranged in a row, with a few cars parked on the right side. A few people are walking on the sidewalk, adding a touch of detail to the scene. The background is a stark white, creating a stark contrast to the model.

Model description for Flux-Microworld-NFT-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	20 & 2460
Epoch	12	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 18 [ HD ]

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 = "strangerzonehf/Flux-Microworld-NFT-LoRA"
trigger_word = "Microworld NFT"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Microworld NFT to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.