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metadata
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
  - text: >-
      Lime Green, An abstract painting of a hamburger on a green background. The
      hamburger is composed of a large red bun, with a thick layer of cheese
      between the bun and two slices of tomatoes. The tomatoes are red, and the
      lettuce is a vibrant green. The bun has a layer of white crumbs on top of
      it. There is a black base on the bottom of the hamburger.
    output:
      url: images/LM1.png
  - text: >-
      Lime Green, An eye-level painting of a gray and white cat with green eyes.
      The cats ears are sticking up, and the cats nose is pointed towards the
      left side of the frame. Its whiskers are white, and there are splashes of
      black on the cat. The background of the painting is a vibrant lime green,
      with black splashes all around the cat, adding a pop of color to the
      scene.
    output:
      url: images/LM2.png
  - text: >-
      Lime Green, An eye-level painting of a womans face, painted in a vibrant
      shade of green and red. Her lips are painted a deep red, and her eyes are
      closed. Her eyebrows are a darker shade of black, while her lips are a
      lighter shade of red. She is wearing a black baseball cap, and she is
      holding a phone in her right hand. Her hair is pulled back in a ponytail,
      adding a pop of color to her face. The background is a lime green, and
      there are a few lines of paint splattered across the image, adding depth
      to the composition.
    output:
      url: images/LM3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Lime Green
license: creativeml-openrail-m

Lime-Green-Flux-LoRA

Prompt
Lime Green, An abstract painting of a hamburger on a green background. The hamburger is composed of a large red bun, with a thick layer of cheese between the bun and two slices of tomatoes. The tomatoes are red, and the lettuce is a vibrant green. The bun has a layer of white crumbs on top of it. There is a black base on the bottom of the hamburger.
Prompt
Lime Green, An eye-level painting of a gray and white cat with green eyes. The cats ears are sticking up, and the cats nose is pointed towards the left side of the frame. Its whiskers are white, and there are splashes of black on the cat. The background of the painting is a vibrant lime green, with black splashes all around the cat, adding a pop of color to the scene.
Prompt
Lime Green, An eye-level painting of a womans face, painted in a vibrant shade of green and red. Her lips are painted a deep red, and her eyes are closed. Her eyebrows are a darker shade of black, while her lips are a lighter shade of red. She is wearing a black baseball cap, and she is holding a phone in her right hand. Her hair is pulled back in a ponytail, adding a pop of color to her face. The background is a lime green, and there are a few lines of paint splattered across the image, adding depth to the composition.

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/Lime-Green-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 20 & 1800
Epoch 10 Save Every N Epochs 1
Labeling: florence2-en(natural language & English)

Total Images Used for Training : 13 [ 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/Lime-Green-Flux-LoRA"
trigger_word = "Lime Green"  
pipe.load_lora_weights(lora_repo)

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

Data source

- https://freeflo.ai/

Trigger words

You should use Lime Green to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.